Chris Withers (@chriswithers13) 's Twitter Profile
Chris Withers

@chriswithers13

Python and things.

ID: 265471143

calendar_today13-03-2011 16:03:01

12,12K Tweet

847 Followers

870 Following

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mock 5.1.0 released! A backport of #python's unittest.mock, includes all the bugfixes and features from CPython main branch as of this morning! The big one in this release is the new ThreadingMock by Mario Corchero and xtreak ... pypi.org/project/mock/5…

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sybil 5.0.3 released! It's a #python tool for testing examples in documentation and source code: this one bugfixes traceback trimming on the latest pytest.org releases - sybil.readthedocs.io/en/latest/

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testfixtures 8.0.0 released! It's a collection of #python testing helpers and mock objects - this release drops Python 3.6, adds 3.12, has improvements for TempDirectory and bugfixes for Replacer - full change log: testfixtures.readthedocs.io/en/latest/chan…

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Rare pleasures in life: cancelling a Virgin Media ❤️ broadband contract! - Goodbye mediocre offshore call centres - Goodbye arbitrary in-contract price rises - Goodbye magic discounts only available to the retentions team!

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chide 3.0.0, a tiny #python library for making sample object, released: better SQLAlchemy support with text formats, partial sample creation and more - pypi.org/project/chide/… chide.readthedocs.io/en/latest/sqla… chide.readthedocs.io/en/latest/patt…

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sybil 7.0.0 released! It's a #python tool for testing examples in documentation and source code: sybil.readthedocs.io/en/latest/

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I guess that’s what paying for a specific seat on British Airways gets you! (You know: that thing that every other airline gives you for free…) Broken storage: hope there’s no turbulence! #neverflyba

I guess that’s what paying for a specific seat on <a href="/British_Airways/">British Airways</a> gets you! (You know: that thing that every other airline gives you for free…) Broken storage: hope there’s no turbulence! #neverflyba
Chris Withers (@chriswithers13) 's Twitter Profile Photo

💡Biggest penny-drop of 2025: I'm starting to see "writing code" as simply exploring a problem space where "parameters" are ideas and the "output" is source code, using models like LLMs to do this instead of just writing code myself then feels quite natural.