Python Bytes

Topics covered in this episode:

• Python 3.13 gets a JIT
• UniDep - Unified Conda and Pip Dependency Management
• Don’t Start Pull Requests from Your Main Branch
• instld: The simplest package management
• Extras
• Joke

About the show

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• Our courses at Talk Python Training
• The Complete pytest Course
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Connect with the hosts

• Michael: @mkennedy@fosstodon.org
• Brian: @brianokken@fosstodon.org
• Show: @pythonbytes@fosstodon.org

Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too.

Brian #1: Python 3.13 gets a JIT

• Anthony Shaw
• Great article that walks through JIT concepts with a small example as if you were writing a parser in Python instead of C.
• Covers
  • What is a JIT?
  • What is a copy-and-patch JIT? and Why?
  • How does the Python JIT work?
  • Is it faster?
  • This is a building block to future improvements

Michael #2: UniDep - Unified Conda and Pip Dependency Management

• ???? Single requirements.yaml for both #Conda & #Pip.
• ⚙️ Works with pyproject.toml & setup.py.
• ???? Perfect for monorepos.
• ???? Create consistent conda-lock files for multiple projects.
• ???? Platform-specific support.
• ???? unidep install for easy setup.
• Full source page.

Brian #3: Don’t Start Pull Requests from Your Main Branch

• Hynek Schlawack
• When contributing to other users’ repositories, always start a new branch in your fork.
• Reasons to not use main
  • Forces you to only have one change in progress
  • Merges will generate conflicts and you can’t pull from that branch anymore. Need to kill the fork and start over
  • If the target repo has branch protection on, then maintainers can’t push to your branch.
• Hynek also provides a way to fix things if you’ve already started your changes on a main branch fork.

Michael #4: instld: The simplest package management

• Thanks to this package, it is very easy to manage the lifecycle of packages.
• ⚡ Run your code without installing libraries.
• ⚡ You can use 2 different versions of the same library in the same program.
• ⚡ You can use incompatible libraries in the same project, as well as libraries with incompatible/conflicting dependencies.
• ⚡ It's easy to share written scripts. The script file becomes self-sufficient - the user does not need to install the necessary libraries.
• ⚡ The library does not leave behind "garbage". After the end of the program, no additional files remain in the system.

Extras

Brian:

• The Complete pytest Course is now actually complete
  • Although updates will happen when and if necessary as pytest/Python changes.
  • To celebrate, use code 2024 in January for 10% off any pricing option.
• More episodes of Python People and Python Test on the way now
  • That course took up a lot of my time in late 2023
  • Just released an episode with Will Vincent and Python Test will have a new episode this week and for the foreseeable future.
  • Let me know if you want to be on Python People or Python Test

Michael:

• Hatch follow up: Great coverage of Hatch v1.8.0! One small correction: only the binaries for Hatch are signed with the certificate from the PSF. - Ofek
• PyPI new user registration temporarily suspended
• Pagefind and how I’m using it
• Talk Python Live: Data Doodles event coming early Feb
• New essay: AI Features a Waste of Time?

Joke: Put it in the backlog