Python Programming by Example

In this repository, we use the Python programming language to learn about different testing techniques. For this reason, it is important to understand the basics of Python. Fortunately, Python is a very common language and there are numerous freely available resources on the Internet.

If you need help on individual topics related to Python programming, first check the official Python Tutorial.

To get access to all the facts about Python you can follow these two sources:

• The Python Language Reference
• The Python Standard Library

There is also a Python style guide which defines coding conventions for the Python code comprising the standard library in the main Python distribution:

• Introduction
• PEP 8: Style Guide for Python Code

The following list references numerous videos which are created by by engaged authors and freely accessible on YouTube. Each of these short videos repeats a specific language construct of the Python programming language.

Python Basics

• Data Types and Data Structures

  • Introduction

  • YouTube (Corey Schafer): Integers and Floats - Working with Numeric Data

  • YouTube (Corey Schafer): Strings - Working with Textual Data

  • YouTube (Corey Schafer): F-Strings - How to Use Them and Advanced String Formatting

  • YouTube (Corey Schafer): Lists, Tuples, and Sets

  • YouTube (Corey Schafer): Dictionaries - Working with Key-Value Pairs

  • YouTube (Corey Schafer): String Formatting - Advanced Operations for Dicts, Lists, Numbers, and Dates

• Conditional Statements

  • Introduction

  • YouTube (Corey Schafer): Conditionals and Booleans - If, Else, and Elif Statements

• Loops

  • Introduction

  • YouTube (Corey Schafer): Loops and Iterations - For/While Loops

  • YouTube: Loop like a native: while, for, iterators, generators

• Functions

  • Introduction

  • YouTube (Corey Schafer): Functions

• Modules

  • Introduction
  • YouTube (Corey Schafer): Import Modules and Exploring The Standard Library
  • YouTube (Corey Schafer): if __name__ == '__main__'

• Packages

  • Introduction

• Virtual Environments

  • Introduction
  • YouTube (Corey Schafer): VENV (Mac & Linux) - How to Use Virtual Environments with the Built-In venv Module

• Jupyter Notebook

  • Introduction
  • YouTube (Corey Schafer): Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough

Object-Oriented Programming

• Classes

  • Introduction
  • YouTube (Corey Schafer): Classes and Instances
  • YouTube (Corey Schafer): Property Decorators - Getters, Setters, and Deleters
  • YouTube (Corey Schafer): Special (Magic/Dunder) Methods
  • YouTube (Corey Schafer): Class Variables
  • YouTube (Corey Schafer): Classmethods and Staticmethods

• Associations

  • Introduction

• Inheritance

  • Introduction
  • YouTube (Corey Schafer): Inheritance - Creating Subclasses

• Enumerations

  • Introduction
  • YouTube: Using Enum in Python
  • Python HOWTOs: Enum

• Exceptions

  • Introduction
  • YouTube (Corey Schafer): Using Try/Except Blocks for Error Handling
  • YouTube (Corey Schafer): Context Managers - Efficiently Managing Resources

Python Libraries

• Test Automation

  • YouTube (Corey Schafer): Unit Testing Your Code with the unittest Module

• Date and Time

  • Datetime Module (Dates and Times)

• Regular Expressions

  • YouTube (Corey Schafer): re Module - How to Write and Match Regular Expressions (Regex)

• File Handling

  • Introduction
  • YouTube (Corey Schafer): Context Managers - Efficiently Managing Resources
  • YouTube (Corey Schafer): File Objects - Reading and Writing to Files
  • YouTube (Corey Schafer): CSV Module - How to Read, Parse, and Write CSV Files

• SQLite Database

  • Introduction
  • YouTube (Corey Schafer): Python SQLite Tutorial: Complete Overview - Creating a Database, Table, and Running Queries

• Matplotlib

  • Introduction

• HTTP Requests

  • YouTube (Corey Schafer): Python Requests Tutorial: Request Web Pages, Download Images, POST Data, Read JSON, and More
  • YouTube (Corey Schafer): Web Scraping with BeautifulSoup and Requests

References

• Eric Matthes. Python Crash Course. No Starch Press, 2016
• Slatkin Brett. Effective Python. Pearson Education, 2nd Edition, 2020
• Dusty Phillips. Python 3 Object-Oriented Programming: Build robust and maintainable software with object-oriented design patterns in Python 3.8. Packt Publishing, 3rd Edition 2018

Egon Teiniker, 2020-2025, GPL v3.0