Python 3.11: A Guided Tour Through Code Course | TalkPython

About

Student materials and handouts for our Python 3.11: A Guided Tour Through Code course

Course Summary

Python 3.11 is one of the most significant releases in years. It's also one of the biggest with the change log weighing in at over 175,000 words of updates. You may have seen the headline features. But have you had a chance to explore them with code and really see how they can make your apps better? This 2-hour course is your guided tour of the changes to Python with this important release.

Source code and course GitHub repository

GitHub - talkpython/python-311-code-tour: Student materials and handouts for our Python 3.11: A Guided Tour Through Code course

Student materials and handouts for our Python 3.11: A Guided Tour Through Code course - GitHub - talkpython/python-311-code-tour: Student materials and handouts for our Python 3.11: A Guided Tour T...

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What will you learn?

In this course, you will:

- Gain a comprehensive understanding of Python 3.11's features
- See how TaskGroups can clean up and improve multiple coordinated async tasks
- Handle multiple errors with Python's new except * syntax
- See how 3.11's new and improved error messages will help both with developing and fixing errors in production
- Add notes to exceptions to improve the context and understanding of what went wrong
- Coordinate multiple async tasks with asyncio.Barrier
- Add a timeout to a group of async tasks with the new timeout context manager
- See why and how 3.11's zero-cost exceptions work
- Learn about Python 3.11's new specializing, adaptive interpreter and see how it makes Python code faster
- Use Specialist to visualize and actually improve your applications most critical loops
- Avoid SQL-Injection and other nasty traps with 3.11's new LiteralString type.
- And lots more

Who is this course for?

For anyone who wants to take advantage of the latest Python features. In this course we focus on Python 3.11's new features of course. But in doing so, we tie them back to many of modern Python's latest idioms and capabilities.

As for prerequisites, we assume:

- Basic familiarity with the Python programming language and core tools (e.g. pip)
- The tools chosen and featured during this course are 100% free and most of them are open source.




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