Python Basics (2024-01-29 - 2024-01-31)

Original Agenda

• Agenda: Python Basics (2024-01-29 - 2024-01-31)

Notebook

• Chapters

• Right in the middle of it

• Download: notebook.ipynb

Github Repository

• https://github.com/jfasch/2024-01-29

Material

• Python Programming: From Absolute Beginner to Advanced Productivity

Day 1

Setup

• Python Installation

• Visual Studio Code for Python Programming

Basics

Datatypes

• Blahblah

• Hello World

• Running Python Programs

• Syntax etc.

• Variables

• Datatypes

• Boolean

• Compound Datatypes

• Commandline Arguments (sys.argv)

• Exercise: Mixed List (Interactive Interpreter)

• Exercise: Mixed List (Executable Program)

• Exercise: Digit to English Word

Control Flow, Sequences, Iteration

• The if Statement

• Exercise: Determine Maximum of Two Numbers

• while Loops

• Exercise: Primeness (while)

• for Loops

• The range Function

Day 2

• Exercise: Primeness (for)

Functions

• Functions (Slideshow)

• Functions: Global and Local Scope (Livehacking Screenplay)

• Exercise: Primeness (Function)

More Datatypes, File IO

• Sequential Datatypes

• Indexing and Slicing

• References, (Im)mutability

• More About Strings

• Miscellaneous String Methods

• File I/O

• Exercise: Eliminate Empty/Comment-Only Lines (Solution: distill.py)

os.listdir(), os.path.join()

See notebook

Day 3

Morning Awakening

• os.walk()

• pathlib: a better os.join()

• Iteration, Generators, And yield

More About Datatypes

• More About Lists

• More About Dictionaries

• More About Sets

• Exercise: Function: uniq()

• Comprehensions (List, Dictionary, Set)

Unit Testing (pytest), Project Management

• pytest Introduction, By Example

• From Python Package Index:

  • Python Package Index (Slideshow)

  • Python Package Index (Livehacking Screenplay)

• From Virtual Environments

  • Virtual Environments (Slideshow)

  • Virtual Environments (Livehacking Screenplay)

Object Oriented Programming

From Object Oriented Programming:

• Classes And Dictionaries

• Constructor

• Methods

• Properties

• collections.namedtuple

(Optional) Exercise Series: CSV Files

• CSV Files

• Exercise: Read CSV File (csv.reader)

• Exercise: Read CSV File (csv.dictreader)

• 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

pandas, numpy, scikit-learn

From Pandas

• Pandas: Basics (DataFrame And Series)

• Pandas: Selecting Rows (And Columns) With iloc[]

• Pandas: Selecting Rows (And Columns) With loc[]

• Pandas: Indexes

• Pandas: Filters

• Pandas: Adding/Modifying Columns

• Pandas: Adding Rows

numpy and scikit-learn: see notebook