#133 Github sponsors - The model open source has been waiting for?

Python Bytes - Podcast tekijän mukaan Michael Kennedy and Brian Okken - Maanantaisin

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Brian #1: Python built-ins worth learning

  • Trey Hunner
  • “I estimate most Python developers will only ever need about 30 built-in functions, but which 30 depends on what you’re actually doing with Python.”
  • “I recommend triaging your knowledge:
    • Things I should memorize such that I know them well
    • Things I should know about so I can look them up more effectively later
    • Things I shouldn’t bother with at all until/unless I need them one day”
  • all 69 built-in functions, split into
    • commonly known
    • overlooked by beginners
    • learn it later
    • maybe learn it eventually
    • you likely don’t need these
  • Highlighting some:
    • overlooked by beginners
      • sum, enumerate, zip, bool, reversed, sorted, min, max, any, all
    • know it’s there, but learn it later:
      • open, input, repr, super, property, issubclass, isinstance, hasattr, getattr, setattr, delattr, classmethod, staticmethod, next
  • my notes
    • I think getattr should be learned early on, because it’s default behavior is so useful. But can’t use it for dicts. Use mydict.get(key, default) for dictionaries.

Michael #2: Github sponsors and match

  • Like Patreon but for GitHub projects
  • 2x your sponsorship: Github matches! To boost community funding, we'll match contributions up to $5,000 during a developer’s first year in GitHub Sponsors with the GitHub Sponsors Matching Fund.
  • 100% to developers, Zero fees: GitHub will not charge fees for GitHub Sponsors.
  • Anyone who contributes to open source—whether through code, documentation, leadership, mentorship, design, or beyond—is eligible for sponsorship.

Brian #3: Build a REST API in 30 minutes with Django REST Framework

  • Bennett Garner
  • Very fast intro including:
    • Set up Django
    • Create a model in the database that the Django ORM will manage
    • Set up the Django REST Framework
    • Serialize the model from step 2
    • Create the URI endpoints to view the serialized data
  • Example is a simple hero db with hero name and alias.

Michael #4: Dependabot has been acquired by GitHub

  • Automated dependency updates: Dependabot creates pull requests to keep your dependencies secure and up-to-date.
  • I personally use and recommend PyUP: https://pyup.io/
  • How it works:
    • Dependabot checks for updates: Dependabot pulls down your dependency files and looks for any outdated or insecure requirements.
    • Dependabot opens pull requests: If any of your dependencies are out-of-date, Dependabot opens individual pull requests to update each one.
    • You review and merge: You check that your tests pass, scan the included changelog and release notes, then hit merge with confidence.
  • Here's what you need to know:
    • We're integrating Dependabot directly into GitHub, starting with security fix PRs 👮‍♂️
    • You can still install Dependabot from the GitHub Marketplace whilst we integrate it into GitHub, but it's now free of charge 🎁
    • We've doubled the size of Dependabot's team; expect lots of great improvements over the coming months 👩‍💻👨‍💻👩‍💻👨‍💻👩‍💻👨‍💻
  • Paid accounts are now free, automatically.

Brian #5: spoof “New features planned for Python 4.0”

  • Charles Leifer - also known for Peewee ORM
  • This is funny, but painful. Is it too soon to joke about the pain of 2 to 3?
  • A few of my favorites
    • PEP8 will be updated. Line lengths will be increased to 89.5 characters. (compromise between 79 and 100)
    • All new libraries and standard lib modules must include the phrase "for humans" somewhere in their title.
    • Type-hinting has been extended to provide even fewer tangible benefits and will be called type whispering.
    • You can make stuff go faster by adding async before every other keyword.
    • Notable items left out of 4.0
      • Still no switch statement.
      • No improvements to packaging.

Michael #6: BlackSheep web framework

  • Fast HTTP Server/Client microframework for Python asyncio, using Cython, uvloop, and httptools.
  • Very Flask-like API. Interesting to consider the “popularity” of Flask vs Django in this context.
  • Objectives
  • Also has an async client much like aiohttp.

Extras

Michael:

Jokes

  • How do you generate a random string? Put a first year Computer Science student in Vim and ask them to save and exit.
  • Waiter: He's choking! Is anyone a doctor? Programmer: I'm a Vim user.

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