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A History of Python Versions and Features

This Python course is a hilarious take on the evolution of the programming language, giving you a comprehensive, insider’s look at how it’s changed from its humble beginnings in early Python 1 to its current state of power and flexibility. From the key new features introduced in every major Python version, like list comprehensions, exception handling, the with statement, defaultdict, and the transition from Python 2 to Python 3, you’ll be able to see the hilarious irony of these changes in action, as well as the deeper significance and practical applications they’ve provided for modern Python development.

But don’t just take our word for it – in this course, you’ll also delve into the story behind these pivotal developments, exploring the evolution of Python’s syntax, semantics, and design philosophy. You’ll learn about the humorous twists and turns that have shaped the language over the years, from the early days of the Python 1.x series to the more recent updates like Python 3.14, and the numerous improvements and innovations that have made Python a streamlined and efficient language for modern applications.

And to make learning Python even more entertaining, we’ve included some hilarious examples and practical tips

This course gives you a direct, practical overview of how Python has evolved—what changed in each major version, why it matters, and how to use the features that define modern Python. You’ll see both the historical context and hands-on code, so you understand not just what changed, but why and how to use it today.

In this course, you’ll learn:

  • Key new features introduced in every major Python version, starting from early Python 1 up to Python 3.14
  • The story behind pivotal changes, like list comprehensions, exception handling, the with statement, defaultdict, and the transition from Python 2 to Python 3
  • Hands-on use of modern Python tools: f-strings, dataclasses, the walrus operator (:=), match/case structural pattern matching, and new types like enum and pathlib
  • How to leverage improvements in each Python release for cleaner, faster, and more maintainable code
  • What’s coming in the latest Python releases, including t-strings and REPL improvements

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