Just forget all about all that virtual environment crap, globally install a modern version of Python in a Docker container, and take full advantage of its latest features.

I couldn't remember the title of this memorable talk, but ChatGPT could:

Q: In which talk by David Beazley does he recommend writing new Python code that takes full advantage of the language's new feature, without worrying about making it backwards compatible?

A:

David Beazley is a well-known Python expert who has given several talks on various aspects of the language. However, one of his talks that emphasizes the importance of taking advantage of new features in Python, without worrying about backwards compatibility, is "Python 3 Metaprogramming".

In this talk, which was delivered at PyCon 2016, Beazley highlights the benefits of using Python 3's new metaprogramming features, such as type annotations, function annotations, and asynchronous programming. He argues that these features can make code more concise, readable, and maintainable, and that developers should not be afraid to use them, even if it means breaking backwards compatibility with older versions of Python.

Beazley's message is clear: by taking advantage of new language features, developers can write more efficient, expressive, and scalable code, without worrying about the limitations of older versions of Python.

Q: Give me a link to that video.

A:

Sure! Here's the link to David Beazley's talk "Python 3 Metaprogramming" at PyCon 2016:

https://www.youtube.com/watch?v=sPiWg5jSoZI

I hope you find it informative and helpful!

Q: What are his arguments for not worrying about backwards compatibility?

A:

David Beazley's main arguments for not worrying about backwards compatibility in his talk "Python 3 Metaprogramming" are:

1. New language features can make code more expressive and efficient: Python 3 introduced several new language features, such as function annotations, type annotations, and asyncio, that can make code more concise, expressive, and efficient. By using these features, developers can write cleaner, more readable code that is easier to maintain and debug.

2. Older versions of Python can be managed through virtual environments and package managers: Developers can use tools such as virtual environments and package managers to manage different versions of Python and dependencies. By isolating different versions of Python and packages, developers can ensure that their code works correctly on different platforms and environments.

3. The community will eventually move to newer versions of Python: As more developers adopt newer versions of Python and start using the latest language features, the community will gradually move away from older versions of Python. This means that eventually, the majority of users will be using newer versions of Python, making backwards compatibility less of an issue.

4. Code refactoring tools can help with compatibility issues: There are several tools available that can help with code refactoring and modernization, such as 2to3, which can automatically convert code from Python 2 to Python 3. By using these tools, developers can make their code compatible with multiple versions of Python without having to sacrifice the benefits of newer language features.

Overall, Beazley's argument is that developers should not be afraid to use the latest language features in Python 3, even if it means sacrificing backwards compatibility with older versions of Python. By doing so, developers can write cleaner, more efficient code that is better suited to modern software development practices.