Programming with Python3
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Programming with Python3

Crash course with free video course

About the Book

This e-Book is for complete beginners who have no prior experience with Python programming. It covers from the basics to advanced concepts like test driven development.

The book comes with a free video series for those who prefer to watch other than just reading. You can find a link to the corresponding video under each chapter.

About the Author

Fabio Pacifici
Fabio Pacifici

Full-stack Ethical developer and Teacher. I am specialized in building bespoke application using cutting edge technologies like Laravel, Vuejs, WordPress as well as create scripts to automate repetitive tasks using Python. I enjoy teaching and share my knowledge with new developers.

If you need help at any point during one of my courses you can join my community on Slack

You can also watch lots of contents for free on my YouTube accountblog

And read articles on my

Table of Contents

  1. Course Introduction A quick introduction to the Programming with Python Crash Course
  2. Environment Setup Setup our development environment, Install Python (Windows/Linux/macOS), Install VSCode and the code runner extension.
  3. Variables Learn about variables in Python. How to define a valid variable and invalid variables errors
  4. Strings In this module, we will study strings, one of the Python basic data types.
  5. Numbers and Booleans In this module, we will study two more basic data types, Numbers and Booleans in Python.
  6. Lists In this module, we will cover the basic data type called List, and how to use them.
  7. Dictionaries In this module, we will cover the basic data type called Dictionary, and how to use them.
  8. Tuples In this module, we will cover the basic data type called Tuple, and how to use them.
  9. Conditionals In this module we will learn a powerful concept in python programming, and how to make our code behave differently based on a given condition.
  10. Loops In the loops module we will cover how to write programs to repeat certain tasks avoiding code duplication.
  11. List Comprehension A shot and practical alternative of writing lists with the resulting values of loops and conditionals
  12. Functions In this module we will learn how to write clean and reusable code by grouping it into reusable function.
  13. Object-Oriented Programming (Classes) This module covers the fundamentals of OOP in Python, from classes definition to modules and class attributes.
  14. Object-Oriented Programming (Inheritance) In this module we will keep working with classes and learn how to define child classes and use special methods
  15. Files and CSV Manipulation In this module we will cover techniques to manipulate files and have a quick look at the CSV module
  16. Testing The final Module of the course covers Testing in Python, including practical examples and a general overview around the different types of tests

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