{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## More About Strings"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"str"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s = 'Hello World'\n",
"type(s)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Hello World'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'Hello World'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello World\n"
]
}
],
"source": [
"print(s)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Hello World'"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\"We don't have much money\""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'We don\\'t have much money'"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\"We don't have much money\""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\"We don't have much money\""
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'\"\\''"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\"\\\"'\""
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"windows_path = 'C:\\Windows\\neue Festplatte'"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"C:\\Windows\n",
"eue Festplatte\n"
]
}
],
"source": [
"print(windows_path)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"C:\\Windows\\neue Festplatte\n"
]
}
],
"source": [
"windows_path = 'C:\\\\Windows\\\\neue Festplatte'\n",
"print(windows_path)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"C:\\Windows\\neue Festplatte\n"
]
}
],
"source": [
"windows_path = r'C:\\Windows\\neue Festplatte'\n",
"print(windows_path)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"line = ' 1234 Joerg Faschingbauer [Lehrer] '"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"None\n"
]
}
],
"source": [
"regex = r'^\\s*(\\d+)\\s+(\\.+)\\s+(\\.+)\\s+[(\\.+)]\\s*$'\n",
"import re\n",
"match = re.search(regex, line)\n",
"print(match)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Multiline Strings (docstrings?)**"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello\n",
"World\n"
]
}
],
"source": [
"s = '''Hello\n",
"World'''\n",
"print(s)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3\n"
]
}
],
"source": [
"# This function adds two values. These two values can be anything, \n",
"# but both values must support the '+' operator.\n",
"\n",
"# Parameters:\n",
"# * a\n",
"# * b\n",
"# Return: a+b (of the same type that the '+' operator produces \n",
"# when ....)\n",
"def add(a, b):\n",
" return a+b\n",
"print(add(1, 2))"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3\n"
]
}
],
"source": [
"def add(a, b):\n",
" '''\n",
" This function adds two values. These two values can be anything, \n",
" but both values must support the '+' operator.\n",
"\n",
" Parameters:\n",
" * a\n",
" * b\n",
" Return: a+b (of the same type that the '+' operator produces \n",
" when ....)\n",
" '''\n",
" return a+b\n",
"print(add(1, 2))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<function __main__.add(a, b)>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"add"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\"\\n This function adds two values. These two values can be anything, \\n but both values must support the '+' operator.\\n\\n Parameters:\\n * a\\n * b\\n Return: a+b (of the same type that the '+' operator produces \\n when ....)\\n \""
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"add.__doc__"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Help on function add in module __main__:\n",
"\n",
"add(a, b)\n",
" This function adds two values. These two values can be anything, \n",
" but both values must support the '+' operator.\n",
" \n",
" Parameters:\n",
" * a\n",
" * b\n",
" Return: a+b (of the same type that the '+' operator produces \n",
" when ....)\n",
"\n"
]
}
],
"source": [
"help(add)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Help on built-in module sys:\n",
"\n",
"NAME\n",
" sys\n",
"\n",
"MODULE REFERENCE\n",
" https://docs.python.org/3.9/library/sys\n",
" \n",
" The following documentation is automatically generated from the Python\n",
" source files. It may be incomplete, incorrect or include features that\n",
" are considered implementation detail and may vary between Python\n",
" implementations. When in doubt, consult the module reference at the\n",
" location listed above.\n",
"\n",
"DESCRIPTION\n",
" This module provides access to some objects used or maintained by the\n",
" interpreter and to functions that interact strongly with the interpreter.\n",
" \n",
" Dynamic objects:\n",
" \n",
" argv -- command line arguments; argv[0] is the script pathname if known\n",
" path -- module search path; path[0] is the script directory, else ''\n",
" modules -- dictionary of loaded modules\n",
" \n",
" displayhook -- called to show results in an interactive session\n",
" excepthook -- called to handle any uncaught exception other than SystemExit\n",
" To customize printing in an interactive session or to install a custom\n",
" top-level exception handler, assign other functions to replace these.\n",
" \n",
" stdin -- standard input file object; used by input()\n",
" stdout -- standard output file object; used by print()\n",
" stderr -- standard error object; used for error messages\n",
" By assigning other file objects (or objects that behave like files)\n",
" to these, it is possible to redirect all of the interpreter's I/O.\n",
" \n",
" last_type -- type of last uncaught exception\n",
" last_value -- value of last uncaught exception\n",
" last_traceback -- traceback of last uncaught exception\n",
" These three are only available in an interactive session after a\n",
" traceback has been printed.\n",
" \n",
" Static objects:\n",
" \n",
" builtin_module_names -- tuple of module names built into this interpreter\n",
" copyright -- copyright notice pertaining to this interpreter\n",
" exec_prefix -- prefix used to find the machine-specific Python library\n",
" executable -- absolute path of the executable binary of the Python interpreter\n",
" float_info -- a named tuple with information about the float implementation.\n",
" float_repr_style -- string indicating the style of repr() output for floats\n",
" hash_info -- a named tuple with information about the hash algorithm.\n",
" hexversion -- version information encoded as a single integer\n",
" implementation -- Python implementation information.\n",
" int_info -- a named tuple with information about the int implementation.\n",
" maxsize -- the largest supported length of containers.\n",
" maxunicode -- the value of the largest Unicode code point\n",
" platform -- platform identifier\n",
" prefix -- prefix used to find the Python library\n",
" thread_info -- a named tuple with information about the thread implementation.\n",
" version -- the version of this interpreter as a string\n",
" version_info -- version information as a named tuple\n",
" __stdin__ -- the original stdin; don't touch!\n",
" __stdout__ -- the original stdout; don't touch!\n",
" __stderr__ -- the original stderr; don't touch!\n",
" __displayhook__ -- the original displayhook; don't touch!\n",
" __excepthook__ -- the original excepthook; don't touch!\n",
" \n",
" Functions:\n",
" \n",
" displayhook() -- print an object to the screen, and save it in builtins._\n",
" excepthook() -- print an exception and its traceback to sys.stderr\n",
" exc_info() -- return thread-safe information about the current exception\n",
" exit() -- exit the interpreter by raising SystemExit\n",
" getdlopenflags() -- returns flags to be used for dlopen() calls\n",
" getprofile() -- get the global profiling function\n",
" getrefcount() -- return the reference count for an object (plus one :-)\n",
" getrecursionlimit() -- return the max recursion depth for the interpreter\n",
" getsizeof() -- return the size of an object in bytes\n",
" gettrace() -- get the global debug tracing function\n",
" setdlopenflags() -- set the flags to be used for dlopen() calls\n",
" setprofile() -- set the global profiling function\n",
" setrecursionlimit() -- set the max recursion depth for the interpreter\n",
" settrace() -- set the global debug tracing function\n",
"\n",
"FUNCTIONS\n",
" __breakpointhook__ = breakpointhook(...)\n",
" breakpointhook(*args, **kws)\n",
" \n",
" This hook function is called by built-in breakpoint().\n",
" \n",
" __displayhook__ = displayhook(object, /)\n",
" Print an object to sys.stdout and also save it in builtins._\n",
" \n",
" __excepthook__ = excepthook(exctype, value, traceback, /)\n",
" Handle an exception by displaying it with a traceback on sys.stderr.\n",
" \n",
" __unraisablehook__ = unraisablehook(unraisable, /)\n",
" Handle an unraisable exception.\n",
" \n",
" The unraisable argument has the following attributes:\n",
" \n",
" * exc_type: Exception type.\n",
" * exc_value: Exception value, can be None.\n",
" * exc_traceback: Exception traceback, can be None.\n",
" * err_msg: Error message, can be None.\n",
" * object: Object causing the exception, can be None.\n",
" \n",
" addaudithook(hook)\n",
" Adds a new audit hook callback.\n",
" \n",
" audit(...)\n",
" audit(event, *args)\n",
" \n",
" Passes the event to any audit hooks that are attached.\n",
" \n",
" call_tracing(func, args, /)\n",
" Call func(*args), while tracing is enabled.\n",
" \n",
" The tracing state is saved, and restored afterwards. This is intended\n",
" to be called from a debugger from a checkpoint, to recursively debug\n",
" some other code.\n",
" \n",
" exc_info()\n",
" Return current exception information: (type, value, traceback).\n",
" \n",
" Return information about the most recent exception caught by an except\n",
" clause in the current stack frame or in an older stack frame.\n",
" \n",
" exit(status=None, /)\n",
" Exit the interpreter by raising SystemExit(status).\n",
" \n",
" If the status is omitted or None, it defaults to zero (i.e., success).\n",
" If the status is an integer, it will be used as the system exit status.\n",
" If it is another kind of object, it will be printed and the system\n",
" exit status will be one (i.e., failure).\n",
" \n",
" get_asyncgen_hooks()\n",
" Return the installed asynchronous generators hooks.\n",
" \n",
" This returns a namedtuple of the form (firstiter, finalizer).\n",
" \n",
" get_coroutine_origin_tracking_depth()\n",
" Check status of origin tracking for coroutine objects in this thread.\n",
" \n",
" getallocatedblocks()\n",
" Return the number of memory blocks currently allocated.\n",
" \n",
" getdefaultencoding()\n",
" Return the current default encoding used by the Unicode implementation.\n",
" \n",
" getdlopenflags()\n",
" Return the current value of the flags that are used for dlopen calls.\n",
" \n",
" The flag constants are defined in the os module.\n",
" \n",
" getfilesystemencodeerrors()\n",
" Return the error mode used Unicode to OS filename conversion.\n",
" \n",
" getfilesystemencoding()\n",
" Return the encoding used to convert Unicode filenames to OS filenames.\n",
" \n",
" getprofile()\n",
" Return the profiling function set with sys.setprofile.\n",
" \n",
" See the profiler chapter in the library manual.\n",
" \n",
" getrecursionlimit()\n",
" Return the current value of the recursion limit.\n",
" \n",
" The recursion limit is the maximum depth of the Python interpreter\n",
" stack. This limit prevents infinite recursion from causing an overflow\n",
" of the C stack and crashing Python.\n",
" \n",
" getrefcount(object, /)\n",
" Return the reference count of object.\n",
" \n",
" The count returned is generally one higher than you might expect,\n",
" because it includes the (temporary) reference as an argument to\n",
" getrefcount().\n",
" \n",
" getsizeof(...)\n",
" getsizeof(object [, default]) -> int\n",
" \n",
" Return the size of object in bytes.\n",
" \n",
" getswitchinterval()\n",
" Return the current thread switch interval; see sys.setswitchinterval().\n",
" \n",
" gettrace()\n",
" Return the global debug tracing function set with sys.settrace.\n",
" \n",
" See the debugger chapter in the library manual.\n",
" \n",
" intern(string, /)\n",
" ``Intern'' the given string.\n",
" \n",
" This enters the string in the (global) table of interned strings whose\n",
" purpose is to speed up dictionary lookups. Return the string itself or\n",
" the previously interned string object with the same value.\n",
" \n",
" is_finalizing()\n",
" Return True if Python is exiting.\n",
" \n",
" set_asyncgen_hooks(...)\n",
" set_asyncgen_hooks(* [, firstiter] [, finalizer])\n",
" \n",
" Set a finalizer for async generators objects.\n",
" \n",
" set_coroutine_origin_tracking_depth(depth)\n",
" Enable or disable origin tracking for coroutine objects in this thread.\n",
" \n",
" Coroutine objects will track 'depth' frames of traceback information\n",
" about where they came from, available in their cr_origin attribute.\n",
" \n",
" Set a depth of 0 to disable.\n",
" \n",
" setdlopenflags(flags, /)\n",
" Set the flags used by the interpreter for dlopen calls.\n",
" \n",
" This is used, for example, when the interpreter loads extension\n",
" modules. Among other things, this will enable a lazy resolving of\n",
" symbols when importing a module, if called as sys.setdlopenflags(0).\n",
" To share symbols across extension modules, call as\n",
" sys.setdlopenflags(os.RTLD_GLOBAL). Symbolic names for the flag\n",
" modules can be found in the os module (RTLD_xxx constants, e.g.\n",
" os.RTLD_LAZY).\n",
" \n",
" setprofile(...)\n",
" setprofile(function)\n",
" \n",
" Set the profiling function. It will be called on each function call\n",
" and return. See the profiler chapter in the library manual.\n",
" \n",
" setrecursionlimit(limit, /)\n",
" Set the maximum depth of the Python interpreter stack to n.\n",
" \n",
" This limit prevents infinite recursion from causing an overflow of the C\n",
" stack and crashing Python. The highest possible limit is platform-\n",
" dependent.\n",
" \n",
" setswitchinterval(interval, /)\n",
" Set the ideal thread switching delay inside the Python interpreter.\n",
" \n",
" The actual frequency of switching threads can be lower if the\n",
" interpreter executes long sequences of uninterruptible code\n",
" (this is implementation-specific and workload-dependent).\n",
" \n",
" The parameter must represent the desired switching delay in seconds\n",
" A typical value is 0.005 (5 milliseconds).\n",
" \n",
" settrace(...)\n",
" settrace(function)\n",
" \n",
" Set the global debug tracing function. It will be called on each\n",
" function call. See the debugger chapter in the library manual.\n",
" \n",
" unraisablehook(unraisable, /)\n",
" Handle an unraisable exception.\n",
" \n",
" The unraisable argument has the following attributes:\n",
" \n",
" * exc_type: Exception type.\n",
" * exc_value: Exception value, can be None.\n",
" * exc_traceback: Exception traceback, can be None.\n",
" * err_msg: Error message, can be None.\n",
" * object: Object causing the exception, can be None.\n",
"\n",
"DATA\n",
" __stderr__ = <_io.TextIOWrapper name='<stderr>' mode='w' encoding='utf...\n",
" __stdin__ = <_io.TextIOWrapper name='<stdin>' mode='r' encoding='utf-8...\n",
" __stdout__ = <_io.TextIOWrapper name='<stdout>' mode='w' encoding='utf...\n",
" abiflags = ''\n",
" api_version = 1013\n",
" argv = ['/home/jfasch/venv/jfasch-home/lib64/python3.9/site-packages/i...\n",
" base_exec_prefix = '/usr'\n",
" base_prefix = '/usr'\n",
" builtin_module_names = ('_abc', '_ast', '_codecs', '_collections', '_f...\n",
" byteorder = 'little'\n",
" copyright = 'Copyright (c) 2001-2021 Python Software Foundati...ematis...\n",
" displayhook = <ipykernel.displayhook.ZMQShellDisplayHook object>\n",
" dont_write_bytecode = False\n",
" exec_prefix = '/home/jfasch/venv/jfasch-home'\n",
" executable = '/home/jfasch/venv/jfasch-home/bin/python'\n",
" flags = sys.flags(debug=0, inspect=0, interactive=0, opt...ation=1, is...\n",
" float_info = sys.float_info(max=1.7976931348623157e+308, max_...epsilo...\n",
" float_repr_style = 'short'\n",
" hash_info = sys.hash_info(width=64, modulus=2305843009213693...iphash2...\n",
" hexversion = 50923504\n",
" implementation = namespace(name='cpython', cache_tag='cpython-39'...xv...\n",
" int_info = sys.int_info(bits_per_digit=30, sizeof_digit=4)\n",
" maxsize = 9223372036854775807\n",
" maxunicode = 1114111\n",
" meta_path = [<class '_frozen_importlib.BuiltinImporter'>, <class '_fro...\n",
" modules = {'IPython': <module 'IPython' from '/home/jfasch/venv/jfasch...\n",
" path = ['/home/jfasch/work/jfasch-home/trainings/log/detail/2021-12-01...\n",
" path_hooks = [<class 'zipimport.zipimporter'>, <function FileFinder.pa...\n",
" path_importer_cache = {'/home/jfasch/.ipython': FileFinder('/home/jfas...\n",
" platform = 'linux'\n",
" platlibdir = 'lib64'\n",
" prefix = '/home/jfasch/venv/jfasch-home'\n",
" ps1 = 'In : '\n",
" ps2 = '...: '\n",
" ps3 = 'Out: '\n",
" pycache_prefix = None\n",
" stderr = <ipykernel.iostream.OutStream object>\n",
" stdin = <_io.TextIOWrapper name='<stdin>' mode='r' encoding='utf-8'>\n",
" stdout = <ipykernel.iostream.OutStream object>\n",
" thread_info = sys.thread_info(name='pthread', lock='semaphore', versio...\n",
" version = '3.9.7 (default, Aug 30 2021, 00:00:00) \\n[GCC 11.2.1 202107...\n",
" version_info = sys.version_info(major=3, minor=9, micro=7, releaseleve...\n",
" warnoptions = []\n",
"\n",
"FILE\n",
" (built-in)\n",
"\n",
"\n"
]
}
],
"source": [
"import sys\n",
"help(sys)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## References"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A variable refers to an object (an integer, with value 42 in this case)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"140106795875920"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a = 42\n",
"id(a)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Assigning variables to other variables only increments the reference count."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"140106795875920"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"b = a\n",
"id(b)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Integer increment? Are integers mutable?**"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"c = 666\n",
"d = c"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"140106669190640"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"id(c)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"140106669190640"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"id(d)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"c += 3"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"669"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"c"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"666"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"d"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ah: '+=' creates a new object"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"140106669191024"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"id(c)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Compound Datatypes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### List, Tuple"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"l = ['one', 2, 3.0]"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"list"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(l)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"one\n",
"2\n",
"3.0\n"
]
}
],
"source": [
"for element in l:\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"l.append(complex(4,0))"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['one', 2, 3.0, (4+0j)]"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['one', 2, 3.0, (4+0j), 5, 6, 7]"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l.extend([5, 6, 7])\n",
"l"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[None, 'one', 2, 3.0, (4+0j), 5, 6, 7]"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l.insert(0, None)\n",
"l"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"None\n",
"one\n",
"2\n",
"3.0\n",
"(4+0j)\n",
"5\n",
"6\n",
"7\n"
]
}
],
"source": [
"for element in l:\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"del l[3]"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[None, 'one', 2, (4+0j), 5, 6, 7]"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"copied_l = l"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[None, 'one', 2, (4+0j), 5, 6, 7]"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"copied_l"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[None, 'one', 2, (4+0j), 5, 6, 7]"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"140106669249856"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"id(l)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[None, 'one', 2, (4+0j), 5, 6, 7, 10000000]"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l.append(10000000)\n",
"l"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"140106669249856"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"id(l)"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"140106669249856"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"id(copied_l)"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[None, 'one', 2, (4+0j), 5, 6, 7, 10000000]"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"copied_l"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Enter Tuples ..."
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"t = ('one', 2, 3.0)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('one', 2, 3.0)"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"tuple"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(t)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"copied_t = t"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'AttributeError'> 'tuple' object has no attribute 'append'\n"
]
}
],
"source": [
"try:\n",
" t.append(10000000)\n",
"except Exception as e:\n",
" print(type(e), e)"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"int"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tuple_containing_one_element = (1)\n",
"type(tuple_containing_one_element)"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"7"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"1 + 2 * 3"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"9"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(1 + 2) * 3"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"tuple"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tuple_containing_one_element = (1,)\n",
"type(tuple_containing_one_element)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Sequence: '+' operator**"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1, 2, 3, 4, 5, 6]"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l1 = [1,2,3]\n",
"l2 = [4,5,6]\n",
"l1 + l2"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1, 2, 3]"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l1"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[4, 5, 6]"
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Dictionary"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
"trans = {\n",
" 'one': 1,\n",
" 'two': 2,\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(trans)"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [],
"source": [
"trans['three'] = 3"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'one': 1, 'two': 2, 'three': 3}"
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trans"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"import pprint"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'one': 1,\n",
" 'three': 3,\n",
" 'two': 2}\n"
]
}
],
"source": [
"pprint.pprint(trans, width=10)"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trans['three']"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'KeyError'> 'four'\n"
]
}
],
"source": [
"try:\n",
" trans['four']\n",
"except Exception as e:\n",
" print(type(e), e)"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3\n"
]
}
],
"source": [
"value = trans.get('three')\n",
"if value:\n",
" print(value)\n",
"else:\n",
" print('na, leider nicht')"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"na, leider nicht\n"
]
}
],
"source": [
"value = trans.get('four')\n",
"if value:\n",
" print(value)\n",
"else:\n",
" print('na, leider nicht')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"None? NoneType?"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"None\n"
]
}
],
"source": [
"print(value)"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"NoneType"
]
},
"execution_count": 71,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(value)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Boolean value of None?"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 72,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool(None)"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool(5)"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 74,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool(0)"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'one': 1,\n",
" 'three': 3,\n",
" 'two': 2,\n",
" 'zero': 0}\n"
]
}
],
"source": [
"trans['zero'] = 0\n",
"pprint.pprint(trans, width=10)"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"na, leider nicht\n"
]
}
],
"source": [
"value = trans.get('zero')\n",
"if value: # \"found\"\n",
" print(value)\n",
"else:\n",
" print('na, leider nicht')"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n"
]
}
],
"source": [
"value = trans.get('zero')\n",
"if value is not None:\n",
" print(value)\n",
"else:\n",
" print('na, leider nicht')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Remove entries"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [],
"source": [
"del trans['zero']"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'one': 1, 'two': 2, 'three': 3}"
]
},
"execution_count": 79,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trans"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Set"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"set"
]
},
"execution_count": 80,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s = {1,2,3,4,5}\n",
"type(s)"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 81,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"4 in s"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [],
"source": [
"s.remove(4)"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 83,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"4 in s"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [],
"source": [
"s.add(4)"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{1, 2, 3, 4, 5}"
]
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Iteration"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### List"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n",
"2\n",
"3\n",
"4\n",
"5\n",
"6\n",
"7\n",
"8\n",
"9\n",
"0\n"
]
}
],
"source": [
"l = [1, 2, 3, 4, 5, 6, 7, 8, 9, 0]\n",
"for element in l:\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 87,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"9 in l"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Tuple"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n",
"2\n",
"3\n",
"4\n",
"5\n",
"6\n",
"7\n",
"8\n",
"9\n",
"0\n"
]
}
],
"source": [
"t = (1, 2, 3, 4, 5, 6, 7, 8, 9, 0)\n",
"for element in t:\n",
" print(element)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Set"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2\n",
"3\n",
"4\n",
"5\n",
"6\n",
"7\n",
"8\n",
"9\n"
]
}
],
"source": [
"s = {1, 2, 3, 4, 5, 6, 7, 8, 9, 0}\n",
"for element in s:\n",
" print(element)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Note**: sets are not ordered!"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 90,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"9 in s"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Dictionary"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {},
"outputs": [],
"source": [
"d = {\n",
" 'one': 1,\n",
" 'two': 2,\n",
" 'three': 3,\n",
" }"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"one\n",
"two\n",
"three\n"
]
}
],
"source": [
"for element in d:\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 93,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'one' in d"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n",
"2\n",
"3\n"
]
}
],
"source": [
"for element in d.values():\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"one\n",
"two\n",
"three\n"
]
}
],
"source": [
"for element in d.keys():\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"('one', 1)\n",
"('two', 2)\n",
"('three', 3)\n"
]
}
],
"source": [
"for element in d.items():\n",
" print(element)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Potschert: manual tuple unpacking**"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Key: one, Value: 1\n",
"Key: two, Value: 2\n",
"Key: three, Value: 3\n"
]
}
],
"source": [
"for element in d.items():\n",
" key = element[0]\n",
" value = element[1]\n",
" print(f'Key: {key}, Value: {value}')"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Key: one, Value: 1\n",
"Key: two, Value: 2\n",
"Key: three, Value: 3\n"
]
}
],
"source": [
"for key, value in d.items():\n",
" print(f'Key: {key}, Value: {value}')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Tuple Unpacking: What Else"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [],
"source": [
"l = [\n",
" [1234, 'joerg', 55],\n",
" [666, 'satan', 10**10],\n",
" [42, 'queen', 10*2],\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"SVNr:1234, Name:joerg, Age:55\n",
"SVNr:666, Name:satan, Age:10000000000\n",
"SVNr:42, Name:queen, Age:20\n"
]
}
],
"source": [
"for svnr, name, age in l:\n",
" print(f'SVNr:{svnr}, Name:{name}, Age:{age}')"
]
},
{
"cell_type": "code",
"execution_count": 101,
"metadata": {},
"outputs": [],
"source": [
"a, b = 1, 2"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1"
]
},
"execution_count": 102,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2"
]
},
"execution_count": 103,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"b"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Same as:"
]
},
{
"cell_type": "code",
"execution_count": 104,
"metadata": {},
"outputs": [],
"source": [
"(a, b) = (1, 2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Swap two variables:"
]
},
{
"cell_type": "code",
"execution_count": 105,
"metadata": {},
"outputs": [],
"source": [
"a, b = b, a"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2"
]
},
"execution_count": 106,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a"
]
},
{
"cell_type": "code",
"execution_count": 107,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1"
]
},
"execution_count": 107,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"b"
]
},
{
"cell_type": "code",
"execution_count": 108,
"metadata": {},
"outputs": [],
"source": [
"a, b, = 1, 2, "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Swap, traditional"
]
},
{
"cell_type": "code",
"execution_count": 109,
"metadata": {},
"outputs": [],
"source": [
"c = a\n",
"a = b\n",
"b = c"
]
},
{
"cell_type": "code",
"execution_count": 110,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2"
]
},
"execution_count": 110,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a"
]
},
{
"cell_type": "code",
"execution_count": 111,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1"
]
},
"execution_count": 111,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"b"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Function returns multiple values"
]
},
{
"cell_type": "code",
"execution_count": 112,
"metadata": {},
"outputs": [],
"source": [
"def f(a, b):\n",
" return a+b"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 113,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f(1,2)"
]
},
{
"cell_type": "code",
"execution_count": 114,
"metadata": {},
"outputs": [],
"source": [
"def f(a, b):\n",
" return a+b, a-b, a*b, a/b"
]
},
{
"cell_type": "code",
"execution_count": 115,
"metadata": {},
"outputs": [],
"source": [
"sum, diff, prod, quot = f(100, 50)"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"150"
]
},
"execution_count": 116,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sum"
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"50"
]
},
"execution_count": 117,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"diff"
]
},
{
"cell_type": "code",
"execution_count": 118,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"5000"
]
},
"execution_count": 118,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prod"
]
},
{
"cell_type": "code",
"execution_count": 119,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2.0"
]
},
"execution_count": 119,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"quot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Comprehensions"
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {},
"outputs": [],
"source": [
"numbers = (1, 2, 3, 4, 5, 6, 7, 8, 9)"
]
},
{
"cell_type": "code",
"execution_count": 121,
"metadata": {},
"outputs": [],
"source": [
"def squares(iterable):\n",
" sq = []\n",
" for i in iterable:\n",
" sq.append(i**2)\n",
" return sq"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1, 4, 9, 16, 25, 36, 49, 64, 81]"
]
},
"execution_count": 122,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result = squares(numbers)\n",
"result"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**List comprehension**"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1, 4, 9, 16, 25, 36, 49, 64, 81]"
]
},
"execution_count": 123,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result = [n**2 for n in numbers]\n",
"result"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[4, 16, 36, 64]"
]
},
"execution_count": 124,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[n**2 for n in numbers if n%2==0]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Set comprehension**"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{1, 4, 9, 16, 25, 36, 49, 64, 81}"
]
},
"execution_count": 125,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result = {n**2 for n in numbers}\n",
"result"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Dictionary comprehension**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Mapping Number->Square number"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{1: 1,\n",
" 2: 4,\n",
" 3: 9,\n",
" 4: 16,\n",
" 5: 25,\n",
" 6: 36,\n",
" 7: 49,\n",
" 8: 64,\n",
" 9: 81}\n"
]
}
],
"source": [
"result = {n: n**2 for n in numbers}\n",
"pprint.pprint(result, width=5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"WTF? How would I use that?"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [],
"source": [
"resultset = [\n",
" [1234, 'joerg', 55],\n",
" [666, 'satan', 10**10],\n",
" [42, 'queen', 10*2],\n",
"]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Dictionary: SVNr -> (Name, Age) "
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [],
"source": [
"def resultset_to_local_db(rs):\n",
" d = {}\n",
" for svnr, name, age in rs:\n",
" d[svnr] = (name, age)\n",
" return d"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {},
"outputs": [],
"source": [
"my_local_db = resultset_to_local_db(resultset)"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{1234: ('joerg', 55), 666: ('satan', 10000000000), 42: ('queen', 20)}"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"my_local_db"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Potschert!!"
]
},
{
"cell_type": "code",
"execution_count": 131,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{1234: ('joerg', 55), 666: ('satan', 10000000000), 42: ('queen', 20)}"
]
},
"execution_count": 131,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"my_local_db = {svnr: (name, age) for svnr, name, age in resultset}\n",
"my_local_db"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## ``os.path``"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [],
"source": [
"import os.path"
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {},
"outputs": [],
"source": [
"filename = '/home/jfasch/tmp/2021-12-01/tests/__init__.py'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Directory Name?"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/home/jfasch/tmp/2021-12-01/tests'"
]
},
"execution_count": 134,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dirname = os.path.dirname(filename)\n",
"dirname"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'__init__.py'"
]
},
"execution_count": 135,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.path.basename(filename)"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/home/jfasch/tmp/2021-12-01/tests/../src'"
]
},
"execution_count": 136,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"path = os.path.join(dirname, '../src')\n",
"path"
]
},
{
"cell_type": "code",
"execution_count": 137,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/home/jfasch/tmp/2021-12-01/src'"
]
},
"execution_count": 137,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"normalized_path = os.path.normpath(path)\n",
"normalized_path"
]
},
{
"cell_type": "code",
"execution_count": 138,
"metadata": {},
"outputs": [],
"source": [
"import os"
]
},
{
"cell_type": "code",
"execution_count": 139,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/'"
]
},
"execution_count": 139,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.sep # Doze: '\\\\' (r'\\'))"
]
},
{
"cell_type": "code",
"execution_count": 140,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'../src'"
]
},
"execution_count": 140,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.path.join('..', 'src')"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('/home/jfasch/tmp/2021-12-01', 'src')"
]
},
"execution_count": 141,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.path.split(normalized_path)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Iterable"
]
},
{
"cell_type": "code",
"execution_count": 142,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"a\n",
"b\n",
"c\n"
]
}
],
"source": [
"s = 'abc'\n",
"for element in s:\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 143,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2\n",
"3\n",
"4\n"
]
}
],
"source": [
"l = [0, 1, 2, 3, 4]\n",
"for element in l:\n",
" print(element)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**``range()``**"
]
},
{
"cell_type": "code",
"execution_count": 144,
"metadata": {},
"outputs": [],
"source": [
"l = []\n",
"i = 0\n",
"while i < 1000:\n",
" l.append(i)\n",
" i += 1"
]
},
{
"cell_type": "code",
"execution_count": 145,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[0,\n",
" 1,\n",
" 2,\n",
" 3,\n",
" 4,\n",
" 5,\n",
" 6,\n",
" 7,\n",
" 8,\n",
" 9,\n",
" 10,\n",
" 11,\n",
" 12,\n",
" 13,\n",
" 14,\n",
" 15,\n",
" 16,\n",
" 17,\n",
" 18,\n",
" 19,\n",
" 20,\n",
" 21,\n",
" 22,\n",
" 23,\n",
" 24,\n",
" 25,\n",
" 26,\n",
" 27,\n",
" 28,\n",
" 29,\n",
" 30,\n",
" 31,\n",
" 32,\n",
" 33,\n",
" 34,\n",
" 35,\n",
" 36,\n",
" 37,\n",
" 38,\n",
" 39,\n",
" 40,\n",
" 41,\n",
" 42,\n",
" 43,\n",
" 44,\n",
" 45,\n",
" 46,\n",
" 47,\n",
" 48,\n",
" 49,\n",
" 50,\n",
" 51,\n",
" 52,\n",
" 53,\n",
" 54,\n",
" 55,\n",
" 56,\n",
" 57,\n",
" 58,\n",
" 59,\n",
" 60,\n",
" 61,\n",
" 62,\n",
" 63,\n",
" 64,\n",
" 65,\n",
" 66,\n",
" 67,\n",
" 68,\n",
" 69,\n",
" 70,\n",
" 71,\n",
" 72,\n",
" 73,\n",
" 74,\n",
" 75,\n",
" 76,\n",
" 77,\n",
" 78,\n",
" 79,\n",
" 80,\n",
" 81,\n",
" 82,\n",
" 83,\n",
" 84,\n",
" 85,\n",
" 86,\n",
" 87,\n",
" 88,\n",
" 89,\n",
" 90,\n",
" 91,\n",
" 92,\n",
" 93,\n",
" 94,\n",
" 95,\n",
" 96,\n",
" 97,\n",
" 98,\n",
" 99,\n",
" 100,\n",
" 101,\n",
" 102,\n",
" 103,\n",
" 104,\n",
" 105,\n",
" 106,\n",
" 107,\n",
" 108,\n",
" 109,\n",
" 110,\n",
" 111,\n",
" 112,\n",
" 113,\n",
" 114,\n",
" 115,\n",
" 116,\n",
" 117,\n",
" 118,\n",
" 119,\n",
" 120,\n",
" 121,\n",
" 122,\n",
" 123,\n",
" 124,\n",
" 125,\n",
" 126,\n",
" 127,\n",
" 128,\n",
" 129,\n",
" 130,\n",
" 131,\n",
" 132,\n",
" 133,\n",
" 134,\n",
" 135,\n",
" 136,\n",
" 137,\n",
" 138,\n",
" 139,\n",
" 140,\n",
" 141,\n",
" 142,\n",
" 143,\n",
" 144,\n",
" 145,\n",
" 146,\n",
" 147,\n",
" 148,\n",
" 149,\n",
" 150,\n",
" 151,\n",
" 152,\n",
" 153,\n",
" 154,\n",
" 155,\n",
" 156,\n",
" 157,\n",
" 158,\n",
" 159,\n",
" 160,\n",
" 161,\n",
" 162,\n",
" 163,\n",
" 164,\n",
" 165,\n",
" 166,\n",
" 167,\n",
" 168,\n",
" 169,\n",
" 170,\n",
" 171,\n",
" 172,\n",
" 173,\n",
" 174,\n",
" 175,\n",
" 176,\n",
" 177,\n",
" 178,\n",
" 179,\n",
" 180,\n",
" 181,\n",
" 182,\n",
" 183,\n",
" 184,\n",
" 185,\n",
" 186,\n",
" 187,\n",
" 188,\n",
" 189,\n",
" 190,\n",
" 191,\n",
" 192,\n",
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" 977,\n",
" 978,\n",
" 979,\n",
" 980,\n",
" 981,\n",
" 982,\n",
" 983,\n",
" 984,\n",
" 985,\n",
" 986,\n",
" 987,\n",
" 988,\n",
" 989,\n",
" 990,\n",
" 991,\n",
" 992,\n",
" 993,\n",
" 994,\n",
" 995,\n",
" 996,\n",
" 997,\n",
" 998,\n",
" 999]"
]
},
"execution_count": 145,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**STUPID!**"
]
},
{
"cell_type": "code",
"execution_count": 146,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2\n"
]
}
],
"source": [
"r = range(3)\n",
"for element in r:\n",
" print(element)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Iterator Protocol"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**A list is iterable**"
]
},
{
"cell_type": "code",
"execution_count": 147,
"metadata": {},
"outputs": [],
"source": [
"l = [3, 4, 5]\n",
"iterator = iter(l)"
]
},
{
"cell_type": "code",
"execution_count": 148,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 148,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"element = next(iterator)\n",
"element"
]
},
{
"cell_type": "code",
"execution_count": 149,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4"
]
},
"execution_count": 149,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"element = next(iterator)\n",
"element"
]
},
{
"cell_type": "code",
"execution_count": 150,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"5"
]
},
"execution_count": 150,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"element = next(iterator)\n",
"element"
]
},
{
"cell_type": "code",
"execution_count": 151,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'StopIteration'> \n"
]
}
],
"source": [
"try:\n",
" element = next(iterator)\n",
"except Exception as e:\n",
" print(type(e), e)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**A ``range`` object is iterable**"
]
},
{
"cell_type": "code",
"execution_count": 152,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2\n"
]
}
],
"source": [
"r = range(3)\n",
"for element in r:\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 153,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3\n",
"4\n",
"5\n"
]
}
],
"source": [
"for element in range(3, 6):\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 154,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4\n",
"6\n",
"8\n",
"10\n",
"12\n",
"14\n",
"16\n",
"18\n"
]
}
],
"source": [
"for element in range(4, 20, 2):\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 155,
"metadata": {},
"outputs": [],
"source": [
"timeaxis = range(1000)\n",
"iterator = iter(timeaxis)"
]
},
{
"cell_type": "code",
"execution_count": 156,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 156,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"next(iterator)"
]
},
{
"cell_type": "code",
"execution_count": 157,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n",
"2\n",
"3\n",
"4\n",
"5\n",
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]
}
],
"source": [
"while True:\n",
" try:\n",
" print(next(iterator))\n",
" except StopIteration:\n",
" break"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### ``yield``"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A naive **function**:"
]
},
{
"cell_type": "code",
"execution_count": 158,
"metadata": {},
"outputs": [],
"source": [
"def myrange(begin, end, step):\n",
" l = []\n",
" element = begin\n",
" while element < end:\n",
" l.append(element)\n",
" element += step\n",
" return l"
]
},
{
"cell_type": "code",
"execution_count": 159,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4\n",
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"18\n"
]
}
],
"source": [
"for element in myrange(4, 20, 2):\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 160,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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]
}
],
"source": [
"for element in myrange(4, 20000, 2):\n",
" print(element)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**STUPID!**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A far less naive **generator**:"
]
},
{
"cell_type": "code",
"execution_count": 161,
"metadata": {},
"outputs": [],
"source": [
"def myrange(begin, end, step):\n",
" element = begin\n",
" while element < end:\n",
" yield element\n",
" element += step"
]
},
{
"cell_type": "code",
"execution_count": 162,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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{
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]
}
],
"source": [
"for element in myrange(4, 20000, 2):\n",
" print(element)"
]
},
{
"cell_type": "code",
"execution_count": 163,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"generator"
]
},
"execution_count": 163,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"g = myrange(4, 20000, 2)\n",
"type(g)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## JSON"
]
},
{
"cell_type": "code",
"execution_count": 164,
"metadata": {},
"outputs": [],
"source": [
"import json"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Send away**"
]
},
{
"cell_type": "code",
"execution_count": 165,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'[1, 2, 3, 4]'"
]
},
"execution_count": 165,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l_to_send = [1, 2, 3, 4]\n",
"json_to_send = json.dumps(l_to_send)\n",
"json_to_send"
]
},
{
"cell_type": "code",
"execution_count": 166,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"str"
]
},
"execution_count": 166,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(json_to_send)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Receive**"
]
},
{
"cell_type": "code",
"execution_count": 167,
"metadata": {},
"outputs": [],
"source": [
"json_received = json_to_send"
]
},
{
"cell_type": "code",
"execution_count": 168,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1, 2, 3, 4]"
]
},
"execution_count": 168,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l_received = json.loads(json_received)\n",
"l_received"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**More datatypes?**"
]
},
{
"cell_type": "code",
"execution_count": 169,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"'{\"one\": 1, \"two\": 2}'"
]
},
"execution_count": 169,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"d = {\n",
" 'one': 1,\n",
" 'two': 2,\n",
"}\n",
"json.dumps(d)"
]
},
{
"cell_type": "code",
"execution_count": 170,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'[[\"hugo\", 10, 1, 2, 3], [\"sine\", 11, 0, 0, 0]]'"
]
},
"execution_count": 170,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l = [\n",
" ('hugo', 10, 1, 2, 3),\n",
" ('sine', 11, 0, 0, 0),\n",
"]\n",
"serialized = json.dumps(l)\n",
"serialized"
]
},
{
"cell_type": "code",
"execution_count": 171,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[['hugo', 10, 1, 2, 3], ['sine', 11, 0, 0, 0]]"
]
},
"execution_count": 171,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"json.loads(serialized)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Everything is an Object of a Type"
]
},
{
"cell_type": "code",
"execution_count": 172,
"metadata": {},
"outputs": [],
"source": [
"i = 666"
]
},
{
"cell_type": "code",
"execution_count": 173,
"metadata": {},
"outputs": [],
"source": [
"j = i"
]
},
{
"cell_type": "code",
"execution_count": 174,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"140106668681968"
]
},
"execution_count": 174,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"id(i)"
]
},
{
"cell_type": "code",
"execution_count": 175,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"140106668681968"
]
},
"execution_count": 175,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"id(j)"
]
},
{
"cell_type": "code",
"execution_count": 176,
"metadata": {},
"outputs": [],
"source": [
"class X:\n",
" def __init__(self, blah):\n",
" self.blah = blah"
]
},
{
"cell_type": "code",
"execution_count": 177,
"metadata": {},
"outputs": [],
"source": [
"x = X('hallo')"
]
},
{
"cell_type": "code",
"execution_count": 178,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'hallo'"
]
},
"execution_count": 178,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x.blah"
]
},
{
"cell_type": "code",
"execution_count": 179,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"type"
]
},
"execution_count": 179,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(X)"
]
},
{
"cell_type": "code",
"execution_count": 180,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class '__main__.X'>\n"
]
}
],
"source": [
"print(X)"
]
},
{
"cell_type": "code",
"execution_count": 181,
"metadata": {},
"outputs": [],
"source": [
"Y = X"
]
},
{
"cell_type": "code",
"execution_count": 182,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'type'>\n"
]
}
],
"source": [
"print(type(Y))"
]
},
{
"cell_type": "code",
"execution_count": 183,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 183,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Y is X"
]
},
{
"cell_type": "code",
"execution_count": 184,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 184,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"isinstance(x, X)"
]
},
{
"cell_type": "code",
"execution_count": 185,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 185,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"isinstance(x, Y)"
]
},
{
"cell_type": "code",
"execution_count": 186,
"metadata": {},
"outputs": [],
"source": [
"def f():\n",
" print('calling f')"
]
},
{
"cell_type": "code",
"execution_count": 187,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"function"
]
},
"execution_count": 187,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(f)"
]
},
{
"cell_type": "code",
"execution_count": 188,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"type"
]
},
"execution_count": 188,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(type(f))"
]
},
{
"cell_type": "code",
"execution_count": 189,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"calling f\n"
]
}
],
"source": [
"f()"
]
},
{
"cell_type": "code",
"execution_count": 190,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"calling f\n"
]
}
],
"source": [
"g = f\n",
"g()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Generators, used more creatively "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*Generating wall clock time*, aka iterating over wall clock timestamps"
]
},
{
"cell_type": "code",
"execution_count": 206,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2\n",
"3\n",
"4\n",
"5\n",
"6\n",
"7\n",
"8\n",
"9\n"
]
}
],
"source": [
"timeaxis = range(10)\n",
"for timestamp in timeaxis:\n",
" print(timestamp)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Hm, and real timestamps, iterated likewise?"
]
},
{
"cell_type": "code",
"execution_count": 207,
"metadata": {},
"outputs": [],
"source": [
"import time\n",
"def wallclock_axis():\n",
" while True:\n",
" yield time.time()"
]
},
{
"cell_type": "code",
"execution_count": 210,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1638538131.1975703\n",
"1638538131.2978473\n",
"1638538131.3981225\n",
"1638538131.498449\n",
"1638538131.5987027\n",
"1638538131.698947\n",
"1638538131.7996597\n",
"1638538131.899947\n",
"1638538132.0001943\n",
"1638538132.1010473\n"
]
}
],
"source": [
"i = 0\n",
"for ts in wallclock_axis():\n",
" if i < 10:\n",
" print(ts)\n",
" i += 1\n",
" time.sleep(0.1)\n",
" else:\n",
" break"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exception Handling and Exception Types"
]
},
{
"cell_type": "code",
"execution_count": 216,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 216,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"issubclass(TypeError, Exception)"
]
},
{
"cell_type": "code",
"execution_count": 217,
"metadata": {},
"outputs": [],
"source": [
"def f(name):\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": 220,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"bummer\n"
]
}
],
"source": [
"try:\n",
" f()\n",
"except Exception:\n",
" print('bummer')"
]
},
{
"cell_type": "code",
"execution_count": 222,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"bummer, type error\n"
]
}
],
"source": [
"try:\n",
" f()\n",
"except TypeError:\n",
" print('bummer, type error')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Order of except clauses is relevant:"
]
},
{
"cell_type": "code",
"execution_count": 226,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"bummer, but no further information <class 'TypeError'>\n"
]
}
],
"source": [
"try:\n",
" f()\n",
"except Exception as e:\n",
" print('bummer, but no further information', type(e))\n",
"except TypeError as e:\n",
" print('bummer, maybe name parameter missing', type(e))"
]
},
{
"cell_type": "code",
"execution_count": 228,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"bummer, maybe name parameter missing <class 'TypeError'>\n"
]
}
],
"source": [
"try:\n",
" f()\n",
"except TypeError as e:\n",
" print('bummer, maybe name parameter missing', type(e))\n",
"except Exception as e:\n",
" print('bummer, but no further information', type(e))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2021-12-17"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Shift Operators"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"22"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"number = 0b10110\n",
"number"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0x16'"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"hex(number)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"22"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"1*16**1 + 6*16**0"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b10110'"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bin(number)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"22"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"1*2**4 + 0*2**3 + 1*2**2 + 1*2**1 + 0*2**0"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"11"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"number >> 1"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b1011'"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bin(number>>1)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b10110'"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bin(number)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Hardware Register: set bit #3 to high"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b1'"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bit_3 = 0b00001\n",
"bin(bit_3)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"bit_3 = 0b00001 << 3"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b1000'"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bin(bit_3)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b10110'"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bin(number)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b11110'"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"new_number = number | bit_3\n",
"bin(new_number)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Bitwise Operators"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"num1 = 0b110101101\n",
"num2 = 0b101110100"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b100100100'"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bin(num1 & num2)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b111111101'"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bin(num1 | num2)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b10100'"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"num = 0b1010\n",
"num <<= 1\n",
"bin(num)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## PCAP Sample Exam"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 1**"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"512"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"2 ** 3 ** 2 ** 1"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Operator Precedence"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"14"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"2 + 3 * 4"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"14"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"2 + (3 * 4)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"20"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(2 + 3) * 4"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"24"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"2 * 3 * 4"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"24"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"2 * (3 * 4)"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"512"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"2 ** 3 ** 2 ** 1"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"64"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"((2 ** 3) ** 2) ** 1"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"512"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"2 ** (3 ** (2 ** 1))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 3**"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"Floor division ``//``"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1.5"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
" 3/2"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"3//2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 4**"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 2\n"
]
}
],
"source": [
"print(1, 2)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1,2\n"
]
}
],
"source": [
"print(1, 2, sep=',')"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n"
]
}
],
"source": [
"print(1)"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1***"
]
}
],
"source": [
"print(1, end='***')"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 2\n",
"2 3\n"
]
}
],
"source": [
"print(1, 2)\n",
"print(2, 3)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1,2\n",
"2,3\n"
]
}
],
"source": [
"print(1, 2, sep=',')\n",
"print(2, 3, sep=',')"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n",
"2\n",
"2\n",
"3\n"
]
}
],
"source": [
"print(1, 2, sep='\\n')\n",
"print(2, 3, sep='\\n')"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1,2***2;3+++"
]
}
],
"source": [
"print(1, 2, sep=',', end='***')\n",
"print(2, 3, sep=';', end='+++')"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 2 3 4 "
]
}
],
"source": [
"n = 0\n",
"while n < 4:\n",
" n += 1\n",
" print(n, end=' ')"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1fuzzi2fuzzi3fuzzi4********"
]
}
],
"source": [
"print(1, 2, 3, 4, sep='fuzzi', end='********')"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"print(1, 2, 3, 4, sep='fuzzi', end='********', file=open('mei-super-file', 'w'))"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'1fuzzi2fuzzi3fuzzi4********'"
]
},
"execution_count": 67,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"open('mei-super-file').read()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 5**"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
"x = 0\n",
"y = 2"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"6"
]
},
"execution_count": 69,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"z = len(\"Python\")\n",
"z"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
"x = y > z"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"False\n"
]
}
],
"source": [
"print(x)"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'bool'>\n"
]
}
],
"source": [
"print(type(x))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 6**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Binary Operators: *Exclusive OR*"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"num1 = 0b110101101\n",
"num2 = 0b101110100"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b11011001'"
]
},
"execution_count": 77,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bin(num1 ^ num2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 11**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Slicing"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [],
"source": [
"l = [1, 2, 3, 'a', 'b', 'c', 6, 7, 8]"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l[2]"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'c'"
]
},
"execution_count": 96,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l[5]"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[3, 'a', 'b']"
]
},
"execution_count": 97,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l[2:5]"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[3, 'b']"
]
},
"execution_count": 98,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l[2:5:2]"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'cde'"
]
},
"execution_count": 99,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s = 'abcdef'\n",
"s[2:5]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Immutable, Slice Assignment"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1, 2, 3, 'a', 'b', 'c', 6, 7, 8]"
]
},
"execution_count": 100,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {},
"outputs": [],
"source": [
"l[3:6] = [4, 5]"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1, 2, 3, 4, 5, 6, 7, 8]"
]
},
"execution_count": 103,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l"
]
},
{
"cell_type": "code",
"execution_count": 104,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'abcdef'"
]
},
"execution_count": 104,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Strings are *immutable*, which means that *there is no slice assignment*. Slicing is possible though!!"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'TypeError'> 'str' object does not support item assignment\n"
]
}
],
"source": [
"try:\n",
" s[2:4] = ['x', 'y']\n",
"except Exception as e:\n",
" print(type(e), e)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 12**"
]
},
{
"cell_type": "code",
"execution_count": 110,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 110,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"1 > 2 # numerical comparison"
]
},
{
"cell_type": "code",
"execution_count": 111,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 111,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'a' > 'b' # lexical comparison"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 113,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'1' > '2' # lexical comparison"
]
},
{
"cell_type": "code",
"execution_count": 115,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 115,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'abc' > 'def'"
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 117,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x = '20'\n",
"y = '30'\n",
"x > y"
]
},
{
"cell_type": "code",
"execution_count": 119,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 119,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x = '020'\n",
"x > y"
]
},
{
"cell_type": "code",
"execution_count": 121,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 121,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x = '200'\n",
"y = '30'\n",
"x > y"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 122,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'2' > '3'"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 123,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"int('200') > int('30')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 13**"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'r'"
]
},
"execution_count": 125,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"name = 'Faschingbauer'\n",
"name[12]"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'IndexError'> string index out of range\n"
]
}
],
"source": [
"try:\n",
" name[13]\n",
"except Exception as e:\n",
" print(type(e), e)"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'r'"
]
},
"execution_count": 129,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"name[-1]"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'a'"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"name[-4]"
]
},
{
"cell_type": "code",
"execution_count": 131,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'auer'"
]
},
"execution_count": 131,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"name[-4:13]"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'aue'"
]
},
"execution_count": 132,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"name[-4:12]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 15**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Dictionary iteration"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {},
"outputs": [],
"source": [
"dict = { 'a': 1, 'b': 2, 'c': 3 }"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"a\n",
"b\n",
"c\n"
]
}
],
"source": [
"for elem in dict:\n",
" print(elem)"
]
},
{
"cell_type": "code",
"execution_count": 138,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"a\n",
"b\n",
"c\n"
]
}
],
"source": [
"for elem in dict.keys():\n",
" print(elem)"
]
},
{
"cell_type": "code",
"execution_count": 140,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n",
"2\n",
"3\n"
]
}
],
"source": [
"for elem in dict.values():\n",
" print(elem)"
]
},
{
"cell_type": "code",
"execution_count": 142,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"('a', 1)\n",
"('b', 2)\n",
"('c', 3)\n"
]
}
],
"source": [
"for elem in dict.items():\n",
" print(elem)"
]
},
{
"cell_type": "code",
"execution_count": 145,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"a 1\n",
"b 2\n",
"c 3\n"
]
}
],
"source": [
"for k, v in dict.items(): # tuple unpacking\n",
" print(k, v)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Tuple unpacking"
]
},
{
"cell_type": "code",
"execution_count": 146,
"metadata": {},
"outputs": [],
"source": [
"t = ('a', 1)"
]
},
{
"cell_type": "code",
"execution_count": 147,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('a', 1)"
]
},
"execution_count": 147,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t2 = t\n",
"t2"
]
},
{
"cell_type": "code",
"execution_count": 148,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"a 1\n"
]
}
],
"source": [
"k = t[0]\n",
"v = t[1]\n",
"print(k, v)"
]
},
{
"cell_type": "code",
"execution_count": 149,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"a 1\n"
]
}
],
"source": [
"k, v = t # tuple unpacking\n",
"print(k, v)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 17**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"List comprehension"
]
},
{
"cell_type": "code",
"execution_count": 150,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[0, 1, 4, 9, 16]"
]
},
"execution_count": 150,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l = [0, 1, 2, 3, 4]\n",
"squares = [elem**2 for elem in l]\n",
"squares"
]
},
{
"cell_type": "code",
"execution_count": 152,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[0, 1, 4, 9, 16]"
]
},
"execution_count": 152,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def sq(elems):\n",
" ret = []\n",
" for elem in elems:\n",
" ret.append(elem**2)\n",
" return ret\n",
"squares = sq(l)\n",
"squares"
]
},
{
"cell_type": "code",
"execution_count": 153,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[0, 1, 4, 9, 16]"
]
},
"execution_count": 153,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[elem**2 for elem in l]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Dictionary comprehension"
]
},
{
"cell_type": "code",
"execution_count": 156,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{0: 0, 1: 1, 2: 4, 3: 9, 4: 16}"
]
},
"execution_count": 156,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"{elem: elem**2 for elem in l}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Set comprehension"
]
},
{
"cell_type": "code",
"execution_count": 158,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{0, 1, 4, 9, 16}"
]
},
"execution_count": 158,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"{elem**2 for elem in l}"
]
},
{
"cell_type": "code",
"execution_count": 161,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'ZeroDivisionError'> integer division or modulo by zero\n"
]
}
],
"source": [
"try:\n",
" lst = [i // i for i in range(0,4)]\n",
" print(lst)\n",
"except Exception as e:\n",
" print(type(e), e)"
]
},
{
"cell_type": "code",
"execution_count": 163,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2\n",
"3\n"
]
}
],
"source": [
"for i in range(0,4):\n",
" print(i)"
]
},
{
"cell_type": "code",
"execution_count": 165,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'ZeroDivisionError'> division by zero\n"
]
}
],
"source": [
"try:\n",
" 0/0\n",
"except Exception as e:\n",
" print(type(e), e)"
]
},
{
"cell_type": "code",
"execution_count": 167,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'ZeroDivisionError'> integer division or modulo by zero\n"
]
}
],
"source": [
"try:\n",
" 0//0\n",
"except Exception as e:\n",
" print(type(e), e)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 18**"
]
},
{
"cell_type": "code",
"execution_count": 168,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[[], [0], [0, 1]]"
]
},
"execution_count": 168,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lst = [[c for c in range(r)] for r in range(3)]\n",
"lst"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 20**"
]
},
{
"cell_type": "code",
"execution_count": 170,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['12', '34']"
]
},
"execution_count": 170,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lst1 = \"12,34\"\n",
"lst1.split(',')"
]
},
{
"cell_type": "code",
"execution_count": 173,
"metadata": {},
"outputs": [],
"source": [
"lst2 = lst1.split(',')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 22**"
]
},
{
"cell_type": "code",
"execution_count": 174,
"metadata": {},
"outputs": [],
"source": [
"l = [0, 1, 2, 3, 4]"
]
},
{
"cell_type": "code",
"execution_count": 176,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[0, 1, 4, 9, 16]"
]
},
"execution_count": 176,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[elem**2 for elem in l]"
]
},
{
"cell_type": "code",
"execution_count": 178,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"4\n",
"9\n",
"16\n"
]
}
],
"source": [
"for elem in l:\n",
" print(elem**2)"
]
},
{
"cell_type": "code",
"execution_count": 180,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"4\n",
"9\n",
"16\n"
]
}
],
"source": [
"def f(n):\n",
" return n**2\n",
"for elem in l:\n",
" print(f(elem))"
]
},
{
"cell_type": "code",
"execution_count": 183,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"4\n",
"9\n",
"16\n"
]
}
],
"source": [
"f = lambda n: n**2\n",
"for elem in l:\n",
" print(f(elem))"
]
},
{
"cell_type": "code",
"execution_count": 184,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"4\n",
"9\n",
"16\n"
]
}
],
"source": [
"for elem in l:\n",
" print((lambda n: n**2)(elem))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Question 23**"
]
},
{
"cell_type": "code",
"execution_count": 185,
"metadata": {},
"outputs": [],
"source": [
"import math"
]
},
{
"cell_type": "code",
"execution_count": 186,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.141592653589793\n"
]
}
],
"source": [
"print(math.pi)"
]
},
{
"cell_type": "code",
"execution_count": 187,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.141592653589793\n"
]
}
],
"source": [
"from math import pi\n",
"print(pi)"
]
},
{
"cell_type": "code",
"execution_count": 188,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.141592653589793\n"
]
}
],
"source": [
"from math import pi as joerg\n",
"print(joerg)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## System Errors"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'FileNotFoundError'> [Errno 2] No such file or directory: '/xyz/abc'\n",
"2\n"
]
}
],
"source": [
"try:\n",
" f = open('/xyz/abc')\n",
"except Exception as e:\n",
" print(type(e), e)\n",
" print(e.errno)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from os import strerror"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'No such file or directory'"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"strerror(2)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'PermissionError'> [Errno 13] Permission denied: '/etc/passwd'\n"
]
}
],
"source": [
"try:\n",
" open('/etc/passwd', 'w')\n",
"except Exception as e:\n",
" print(type(e), e)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Permission denied'"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"strerror(13)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.9"
}
},
"nbformat": 4,
"nbformat_minor": 4
}