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#479 Talking About Types

#479 Talking About Types

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Topics covered in this episode: httpxyz one month inLearn concurrency - a deep dive into multithreading with Pythonpip 26.1 - lockfiles and dependency cooldownsPython 3.15 sentinal values from PEP 661ExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: httpxyz one month in First version of httpxyz contained just the fixes to get zstd working, and the fixes to get the test suite running on python 3.14, some ‘housekeeping’ changes related to the renamingEnd of March: a compatibility shim that allows you to use httpxyz even with third-party packages that import httpx themselves, as long as you import httpxyz first. Importing httpxyz automatically registers it under the httpx name in sys.modules , see https://httpxyz.org/httpx-compatibility/Fixed a WHOLE bunch of performance related issues by forking httpcore Brian #2: Learn concurrency - a deep dive into multithreading with Python Nikos Vaggalis“Whenever you are trying to speed up code using multiple cores, always ask yourself: “Do these threads need to talk to each other right now?” If the answer is yes, it will be slow. The best parallel code splits a big job into completely isolated chunks, processes them separately, and merges the results at the finish line.”Good overview of thread concurrency with Python and how that’s been improved dramatically with free-threaded PythonDefines lots of terms you come across, including “embarrassingly parallel multithreading”There’s a counter example that’s nice Start with a shared resource, a counter, and multiple threads updating itAttempt to fix with threading.Lock(), which fixes it, but slows things downGood explanation of whyProper fix with concurrent.futures and separating the work of different threads so that they can be independent and their results can be combined when they’re all finished. Michael #3: pip 26.1 - lockfiles and dependency cooldowns Python 3.9 is no longer supportedExperimental: installing from pylock filesDependency cooldowns (see my post about this)Lifting several 2020 resolver limitations Brian #4: Python 3.15 sentinal values from PEP 661 MISSING = sentinel("MISSING") def next_value(default: int | MISSING = MISSING): ... if default is MISSING: ... Take a name str as a constructor parameterIntended to be compared with is operator, similar to NoneSentinal objects can be used as a type, also similar to None and can be combined with other types with |.Unlike None, sentinal values are truthy. (Elipses ... are also truthy) This seems like a strange choice. but I guess it must have made sense to someone.It does force you to use is instead of depending on False-ness, so I guess it’ll make code using sentinels more readable.Interesting that the PEP was started in 2021, and we’re finally getting it this year. Extras Brian: Before GitHub - Armin Ronachertenacity - cross-platform multi-track audio editor/recorder learned about it from Armin’s article Joke: Joke option Make it myself Seems similar to what people think about software now Links httpxyz one month inhttpxyz.org/httpx-compatibilityLearn concurrency - a deep dive into multithreading with Pythonpip 26.1 - lockfiles and dependency cooldownsmy post about thisPython 3.15 sentinal values from PEP 661Before GitHubtenacityMake it myself
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