Python (2022-05-02 - 2022-05-05)

Training Information

Material

• Python Programming: From Absolute Beginner to Advanced Productivity

Source Code

• Github

Notebook

• Structure

• Whole notebook

• Download

Topics

• Python Installation

• Visual Studio Code for Python Programming

Basics

• Blahblah

• Hello World

• Syntax etc.

• Variables

• Datatypes

• Exercise: Swap Two Variables

  • Non-pythonic

  • Pythonic

• Boolean

• Compound Datatypes

• Commandline Arguments (sys.argv)

• Exercise: Digit to English Word (see Github)

• The if Statement

• Exercise: Exercise: Determine Maximum of Two Numbers (see Github)

• Exercise: Exercise: Greeting, Depending on Time of Day

• Sequential Datatypes

• Indexing and Slicing

• References, (Im)mutability

Control Flow and Iteration

• while Loops

• Exercise: Primeness (while) (see Github)

• for Loops

• The range Function

• Iteration, and Generators: the yield Keyword

• Exercise: Even Numbers (while)

• Exercise: Primeness (for) (see Github)

Encoding, Strings, and File I/O

• Encoding

• More About Strings

• String Formatting

• Miscellaneous String Methods

• File I/O

• Exercise: Eliminate Empty/Comment-Only Lines (see Github)

Excursion: CAN Communication, OO, Modules

• CAN Bus With Linux And Python

• Live hacking

  • Send values from a list

  • Wrap sensor around list, giving values cyclically - maintaining the cycle by hand

  • Enter itertools — Functions creating iterators for efficient looping (itertools.cycle())

  See Github

Modules

• Modules and Packages

CSV

• CSV Files

• Exercise: Read CSV File (csv.reader)

• Exercise: Read CSV File (csv.dictreader)

Functions

• Functions

CSV, Functions

• Exercise: Refactoring - Extract CSV Reading Into Function (csv.reader)

• Exercise: Refactoring - Extract CSV Reading Into Function (csv.dictreader)

• Exercise: Refactoring - Extract Both CSV Formats Into Module

Live coded that, see Github

PyPI, Virtual Environments

• Python Package Index

• Virtual Environments

Requirements Engineering, Test Driven Development

• pytest Introduction, By Example

Live coding on the CSV code base, see Github

More On DataTypes

• More About Lists

• More About Dictionaries

• More About Sets

• Exercise: Parsing /etc/passwd

Random Topics

• Commandline Parsing with argparse, see Github

• Matplotlib

• subprocess

Links

Books

• Book: Automate the Boring Stuff with Python (Al Sweigart)

Python Beginner Tutorials

• 5 Common Python Mistakes and How to Fix Them, by Corey Schafer

• Python Quick Tip: F-Strings - How to Use Them and Advanced String Formatting, by Corey Schafer

• Python Tutorial for Beginners 4: Lists, Tuples, and Sets, by Corey Schafer

• Python Tutorial for Beginners 5: Dictionaries - Working with Key-Value Pairs, by Corey Schafer

• Python Tutorial for Beginners 7: Loops and Iterations - For/While Loops, by Corey Schafer

• Python Tutorial for Beginners 8: Functions, by Corey Schafer

• 10 Python Tips and Tricks For Writing Better Code, by Corey Schafer

• Python Tutorial: Using Try/Except Blocks for Error Handling, by Corey Schafer

• Python 3.7: Encode String Method

Standard Library

• Python Tutorial: CSV Module - How to Read, Parse, and Write CSV Files, by Corey Schafer

• Python Tutorial: Calling External Commands Using the Subprocess Module, by Corey Schafer

NumPy and Data Science Tutorials

• Complete Python NumPy Tutorial (Creating Arrays, Indexing, Math, Statistics, Reshaping), by Keith Galli

• Solving real world data science tasks with Python Pandas!, by Keith Galli

• Intro to Data Visualization in Python with Matplotlib! (line graph, bar chart, title, labels, size), by Keith Galli