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Python Bytes

Python Bytes

Auteur(s): Michael Kennedy and Brian Okken
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 Python Bytes is a weekly podcast hosted by Michael Kennedy and Brian Okken. The show is a short discussion on the headlines and noteworthy news in the Python, developer, and data science space.Copyright 2016-2025 Politique
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  • #461 This episdoe has a typo

    #461 This episdoe has a typo
    Dec 9 2025
    Topics covered in this episode: PEP 798: Unpacking in ComprehensionsPandas 3.0.0rc0typosA couple testing topicsExtrasJokeWatch 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 10am 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: PEP 798: Unpacking in Comprehensions After careful deliberation, the Python Steering Council is pleased to accept PEP 798 – Unpacking in Comprehensions.Examples [*it for it in its] # list with the concatenation of iterables in 'its' {*it for it in its} # set with the union of iterables in 'its' {**d for d in dicts} # dict with the combination of dicts in 'dicts' (*it for it in its) # generator of the concatenation of iterables in 'its' Also: The Steering Council is happy to unanimously accept “PEP 810, Explicit lazy imports” Brian #2: Pandas 3.0.0rc0 Pandas 3.0.0 will be released soon, and we’re on Release candidate 0Here’s What’s new in Pands 3.0.0 Dedicated string data type by default Inferred by default for string data (instead of object dtype)The str dtype can only hold strings (or missing values), in contrast to object dtype. (setitem with non string fails)The missing value sentinel is always NaN (np.nan) and follows the same missing value semantics as the other default dtypes.Copy-on-Write The result of any indexing operation (subsetting a DataFrame or Series in any way, i.e. including accessing a DataFrame column as a Series) or any method returning a new DataFrame or Series, always behaves as if it were a copy in terms of user API.As a consequence, if you want to modify an object (DataFrame or Series), the only way to do this is to directly modify that object itself.pd.col syntax can now be used in DataFrame.assign() and DataFrame.loc() You can now do this: df.assign(c = pd.col('a') + pd.col('b'))New Deprecation PolicyPlus more - Michael #3: typos You’ve heard about codespell … what about typos?VSCode extension and OpenVSX extension.From Sky Kasko: Like codespell, typos checks for known misspellings instead of only allowing words from a dictionary. But typos has some extra features I really appreciate, like finding spelling mistakes inside snake_case or camelCase words. For example, if you have the line: *connecton_string = "sqlite:///my.db"* codespell won't find the misspelling, but typos will. It gave me the output: *error: `connecton` should be `connection`, `connector` ╭▸ ./main.py:1:1 │1 │ connecton_string = "sqlite:///my.db" ╰╴━━━━━━━━━* But the main advantage for me is that typos has an LSP that supports editor integrations like a VS Code extension. As far as I can tell, codespell doesn't support editor integration. (Note that the popular Code Spell Checker VS Code extension is an unrelated project that uses a traditional dictionary approach.) For more on the differences between codespell and typos, here's a comparison table I found in the typos repo: https://github.com/crate-ci/typos/blob/master/docs/comparison.md By the way, though it's not mentioned in the installation instructions, typos is published on PyPI and can be installed with uv tool install typos, for example. That said, I don't bother installing it, I just use the VS Code extension and run it as a pre-commit hook. (By the way, I'm using prek instead of pre-commit now; thanks for the tip on episode #448!) It looks like typos also publishes a GitHub action, though I haven't used it. Brian #4: A couple testing topics slowlify suggested by Brian SkinnSimulate slow, overloaded, or resource-constrained machines to reproduce CI failures and hunt flaky tests.Requires Linux with cgroups v2Why your mock breaks later Ned BadthelderNed’s taught us before to “Mock where the object is used, not where it’s defined.”To be more explicit, but probably more confusing to mock-newbies, “don’t mock things that get imported, mock the object in the file it got imported to.” See? That’s probably worse. Anyway, read Ned’s post.If my project myproduct has user.py that uses the system builtin open() and we want to patch it: DONT DO THIS: @patch("builtins.open") This patches open() for the whole systemDO THIS: @patch("myproduct.user.open") This patches open() for just the user.py file, which is what we wantApparently this issue is common and is mucking up using coverage.py Extras Brian: The Rise and Rise of FastAPI - mini documentary“Building on Lean” chapter of LeanTDD is out The next ...
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    29 min
  • #460 Overlooked Python Typing

    #460 Overlooked Python Typing
    Dec 1 2025
    Topics covered in this episode: Advent of Code starts todayDjango 6 is comingAdvanced, Overlooked Python TypingcodespellExtrasJokeWatch 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 10am 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. Brian #1: Advent of Code starts today A few changes, like 12 days this year, which honestly, I’m grateful for.See also: elf: Advent of Code CLI helper for Python Michael #2: Django 6 is coming Expected December 2025Django 6.0 supports Python 3.12, 3.13, and 3.14Built-in support for the Content Security Policy (CSP) standard is now available, making it easier to protect web applications against content injection attacks such as cross-site scripting (XSS).The Django Template Language now supports template partials, making it easier to encapsulate and reuse small named fragments within a template file.Django now includes a built-in Tasks framework for running code outside the HTTP request–response cycle. This enables offloading work, such as sending emails or processing data, to background workers.Email handling in Django now uses Python’s modern email API, introduced in Python 3.6. This API, centered around the email.message.EmailMessage class Brian #3: Advanced, Overlooked Python Typing get_args, TypeGuard, TypeIs, and more goodies Michael #4: codespell Learned from this PR for the Talk Python book.Fix common misspellings in text files.It's designed primarily for checking misspelled words in source code (backslash escapes are skipped), but it can be used with other files as well.It does not check for word membership in a complete dictionary, but instead looks for a set of common misspellings. Therefore it should catch errors like "adn", but it will not catch "adnasdfasdf".It shouldn't generate false-positives when you use a niche term it doesn't know about. Extras Brian: Is mkdocs maintained?Hatch 1.16 Michael: Follow up on tach from Gerben Dekker: tach has been unmaintained for a bit but is not anymore. It was the main product from Gauge which is a Y combinator startup that pivoted to something unrelated and abandoned tach. However, https://github.com/DetachHead forked it but now got access to the main repo and has committed to maintaining it.ruff analyze graph is fully independent of tach - we actually started to look into alternatives for tach when it became unmaintained and then found ruff analyze graph.For our use case, with just a bit of manipulation on top of ruff analyze graph we replaced our use of deptry (which was slower - and I try to be careful depending on one-man projects).A Review of Michael Kennedy’s book, “Talk Python in Production” - Thanks Doug Joke: NoaaS
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    24 min
  • #459 Inverted dependency trees

    #459 Inverted dependency trees
    Nov 24 2025
    Topics covered in this episode: PEP 814 – Add frozendict built-in typeFrom Material for MkDocs to ZensicalTachSome Python Speedups in 3.15 and 3.16ExtrasJokeAbout 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 10am 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 #0: Black Friday is on at Talk Python What’s on offer: An AI course mini bundle (22% off)20% off our entire library via the Everything Bundle (what's that? ;) )The new Talk Python in Production book (25% off) Brian: This is peer pressure in action 20% off The Complete pytest Course bundle (use code BLACKFRIDAY) through November or use save50 for 50% off, your choice.Python Testing with pytest, 2nd edition, eBook (50% off with code save50) also through November I would have picked 20%, but it’s a PragProg wide thing Michael #1: PEP 814 – Add frozendict built-in type by Victor Stinner & Donghee NaA new public immutable type frozendict is added to the builtins module.We expect frozendict to be safe by design, as it prevents any unintended modifications. This addition benefits not only CPython’s standard library, but also third-party maintainers who can take advantage of a reliable, immutable dictionary type.To add to existing frozen types in Python. Brian #2: From Material for MkDocs to Zensical Suggested by John HagenA lot of people, me included, use Material for MkDocs as our MkDocs theme for both personal and professional projects, and in-house docs.This plugin for MkDocs is now in maintenance modeThe development team is switching to working on Zensical, a static site generator to overcome some technical limitations with MkDocs. There’s a series of posts about the transition and reasoning Transforming Material for MkDocsZensical – A modern static site generator built by the creators of Material for MkDocsMaterial for MkDocs Insiders – Now free for everyoneGoodbye, GitHub DiscussionsMaterial for MkDocs still around, but in maintenance modeall insider features now available to everyoneZensical is / will be compatible with Material for Mkdocs, can natively read mkdocs.yml, to assist with the transitionOpen Source, MIT licensefunded by an offering for professional users: Zensical Spark Michael #3: Tach Keep the streak: pip deps with uv + tachFrom Gerben DeckerWe needed some more control over linting our dependency structure, both internal and external.We use tach (which you covered before IIRC), but also some home built linting rules for our specific structure. These are extremely easy to build using an underused feature of ruff: "uv run ruff analyze graph --python python_exe_path .".Example from an app I’m working on (shhhhh not yet announced!) Brian #4: Some Python Speedups in 3.15 and 3.16 A Plan for 5-10%* Faster Free-Threaded JIT by Python 3.16 5% faster by 3.15 and 10% faster by 3.16Decompression is up to 30% faster in CPython 3.15 Extras Brian: LeanTDD book issue tracker Michael: No. 4 for dependencies: Inverted dep trees from Bob Belderbos Joke: git pull inception
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    33 min
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