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Topic 1: Python Basics

⏱️ Estimated time: 4 weeks (1 chapter per day)

Python is a very popular programming language with many uses in cloud engineering and a great community, which is why we've selected it as the language to learn in this guide.


📚 Learning Path

Go through Python Crash Course by Eric Matthes. Take it a chapter a day and you should be able to get it done in a month with a couple of hours of study per day.

This book is a great resource for beginners to learn Python programming. It covers the basics of Python syntax, data structures, functions, and modules. The book also includes hands-on projects to help you practice your skills and build real-world applications.


🧪 Test Your Knowledge

Once you are done with the book, watch the CS50 lecture on Python. Everything here should make sense to you—if not, you are not ready to move on.

AI-Assisted Practice

Test your knowledge with an AI assistant using these prompts:

  1. Can you ask me about the difference between a list and a tuple in Python?
  2. Can you quiz me on how to create a dictionary in Python?
  3. Can you ask me to explain the concept of list comprehensions with an example?
  4. Can you ask me what a lambda function is and how it is used?
  5. Can you quiz me on how to handle exceptions in Python?
  6. Can you ask me about Python decorators and how they work?
  7. Can you ask me to explain the difference between __init__ and __new__ methods in Python classes?
  8. Can you quiz me on how to read and write files in Python?
  9. Can you ask me about generators in Python and how they differ from regular functions?
  10. Can you quiz me on how to use the map, filter, and reduce functions in Python?

✅ Topic Checklist

Before moving on, make sure you can answer "yes" to these:

  • I understand Python syntax and data types
  • I can work with lists, tuples, and dictionaries
  • I understand functions and how to define them
  • I can handle exceptions properly
  • I understand classes and object-oriented programming basics
  • I can read and write files in Python
  • The CS50 Python lecture made sense to me