Podcast name: "Test & Code" -> "Python Test"Python Bytes PodcastPython People Podcast Python Test Podcast which is still, at least for now, at testandcode.com New course: "The Complete pytest Course" pytest-repeat, which I'm starting to contribute toGive `--repeat-scope` a try. You can use it to change from repeating every test to repeating the session, module, or class. pytest-flakefinder, which is an alternative to pytest-repeat pytest-check is completely unrelated, but mentioned in the show

TDD (Test Driven Development) started from Test First Programming, and has been around at least since the 90's. However, software tools and available CI systems have changed quite a bit since then. Maybe it's time to re-examine the assumptions, practices, processes, and principles of TDD.  At least in the context of my software engineering career, modifications to TDD, at least the version of TDD as it's frequently taught, have been necessary. This is the start of a series focused on examining TDD and related lightweight practices and processes.Links from the show:From XPTest FirstUnit TestsAcceptance Tests Test-Driven Development (wikipedia) Thank you Coverage Cat for sponsoring this episodeCoverage Cat is the best way to buy your umbrella, car, home, and renters insurance.Get your free, optimized insurance quote today at coveragecat.com

On a recent episode of PythonBytes, I suggested it's hard to come up with good examples for pytest autouse fixtures, as there aren't very many good reasons to use them.  James Falcon was kind enough to reach out and correct me. In this episode, we describe:what fixtures arewhat autouse fixtures aregreat reasons to use them

Learn how to write nonfiction fast and well.Johanna Rothman joins the show to discuss writing nonfiction.Johanna's book: Free Your Inner Nonfiction Writer

Open Source is important to Intel and has been for a very long time.Joe Curley, vice president and general manager of software products and ecosystem, and Arun Gupta, vice president and general manager for open ecosystems, join the show to discuss open source, OneAPI, and open ecosystems at Intel.

Hynek joins the show to discuss towncrier. At the top of the towncrier documentation, it says "towncrier is a utility to produce useful, summarized news files (also known as changelogs) for your project."Towncrier is used by "Twisted, pytest, pip, BuildBot, and attrs, among others."This is the last of 3 episodes focused on keeping a CHANGELOG. Episode 200 kicked off the series with keepachangelog.com and Olivier Lacan In 201 we had Ned Batchelder discussing scriv.Special Guest: Hynek Schlawack.Links:Towncrier docsHow to Keep a Changelog in Markdown - Towncrier docsKeep a Changelog structlog/CHANGELOG.md — Example of manually edited changelog.hatch-fancy-pypi-readmeMyST Markdown hatchling

Last week we talked about the importance of keeping a changelog. This week we talk with Ned Batchelder about scriv, a tool to help maintain that changelog.Scriv "is a command-line tool for helping developers maintain useful changelogs. It manages a directory of changelog fragments. It aggregates them into entries in a CHANGELOG file."Special Guest: Ned Batchelder.Sponsored By: porkbun: A refreshingly different domain name registrar. Get a free .app or .dev domain name by using this link or promo code. Promo Code: TESTANDCODELinks:nedbat/scriv: Changelog management tool

A changelog is a file which contains a curated, chronologically ordered list of notable changes for each version of a project. This episode is about what a changelog is, with an interview with Olivier Lacan, creator of keepachangelog.com. The next two episodes talk about some tools to help software project teams keep changelogs while avoiding merge conflicts. Special Guest: Olivier Lacan.Sponsored By: porkbun: A refreshingly different domain name registrar. Get a free .app or .dev domain name by using this link or promo code. Promo Code: TESTANDCODELinks:Shields.ioKeep a Changelog"The Changelog" Podcast interview with Olivier LacanAn Open Source Rage Diamond

For a web side project to go from "working on desktop" to "live in the cloud", one decision that needs to be made is where to host everything. One option is Microsoft Azure. Lots of corporate sites use it. Is it right for side projects? Pamela Fox, a Cloud Advocate for Python at Microsoft, joins the show to help us with that question.Special Guest: Pamela Fox.Sponsored By: porkbun: A refreshingly different domain name registrar. Get a free .app or .dev domain name by using this link or promo code. Promo Code: TESTANDCODELinks:Python Bytes Episode #323pamelafox gitHub projectsDeploy a Python (Django or Flask) web app to AzureHosting Python Web Apps on Azure: A Price-OffDeploying a containerized FastAPI app to Azure Container AppsGetting started with hosting Python apps on AzurePricing Calculator for AzureApp Service Pricing pamelafox/flask-db-quiz-exampleTutorial: Deploy a Python Django or Flask web app with PostgreSQLPamela Fox on Mastodon

Django has some built in ways to test your application. There's also pytest-django and other plugins that help with testing. Carlton Gibson and Will Vincent from the Django Chat Podcast join the show to discuss how to get started testing your Django application.Special Guests: Carlton Gibson and Will Vincent.Sponsored By: porkbun: A refreshingly different domain name registrar. Get a free .app or .dev domain name by using this link or promo code. Promo Code: TESTANDCODE

Classifiers are one bit of Python project metadata that predates PyPI. Classifiers are weird. They were around in setuptools days, and are still here with pyproject.toml. What are they? Why do we need them? Do we need them?Which classifiers should I include?Why are they called "trove classifiers" in the Python docs Brett Cannon joins the show to discuss these wacky bits of metadata.Here's an example, from pytest-crayons:[project] ... classifiers = [ "License :: OSI Approved :: MIT License", "Framework :: Pytest" ] Special Guest: Brett Cannon.Links:Classifiers · PyPIPEP 621 – Storing project metadata in pyproject.toml | peps.python.org Packaging Python Projects — Python Packaging User Guide — Configuring metadataPEP 639 – Improving License Clarity with Better Package Metadata | peps.python.orgSPDX

Should we think of open source components the same way we think of physical parts for manufactured goods? There are problems with supply chain analogy when applied to software. Thomas Depierre discusses some of those issues in this episode. Special Guest: Thomas Depierre.Links:I am not a supplier - article

Anthony Sottile and Brian discuss changes that would be cool for pytest, even unrealistic changes. These are changes we'd make to pytest if we didn't ahve to care about backwards compatibilty.Anthony's list:The import systemMulti-process support out of the boxAsync supportChanges to the fixture systemExtend the assert rewriting to make it modularAdd matchers to assert mechanismBan test class inheritanceBrian's list: Extend assert rewriting for custom rewriting, like checkpytester matchers available for all testsThrow out nose and unittest compatibility pluginsThrow out setup_module, teardown_module and other xunit style functionsRemove a bunch of the hook functionsDocumentation improvement of remaining hook functions which include examples of how to use itStart running tests before collection is doneSplit collection and running into two processesHave the fixtures be able to know the result of the test during teardownSpecial Guest: Anthony Sottile.Links:anthonywritescode - YouTubeanthonywritescode - Twitchpytest-asyncio · PyPIasync test patterns for pytestfuture-fstrings · PyPIre-assert · PyPInumpy.testingSourcegraph

A brief discussion of why Test & Code has been off the air for a bit, and what to expect in upcoming episodes.Links:Python Testing with pytest, 2nd EditionGetting started with pytest Online CourseSoftware Testing with pytest TrainingPython Bytes Podcast

I don't think it's too much of a stretch to say that software is part of most scientific research now. From astronomy, to neuroscience, to chemistry, to climate models.  If you work in research that hasn't been affected by software yet, just wait.But how good is that software? How much of common best practices in software development are making it to those writing software in the sciences?Patrick Mineault has written "The Good Research Code Handbook".  It's a website. It's concise.  And it will put you on the right path to writing better software. Even if you don't write science based software, and even if you already have a CS degree, there's some good information worth reading.Special Guest: Patrick Mineault.Links:The Good Research Code Handbookgame-wrath-jam: A game jam game, theme: WrathRobotron 2084 - Arcade - YouTubeThe Book of Why: The New Science of Cause and Effect

The first game I remember coding, or at least copying from a magazine, was in Basic. It was Lunar Lander. Learning to code a game is a way that a lot of people get started and excited about programming. Of course, I don't recommend Basic. Now we've got Python. And one of the game engines available for Python is PursuedPyBear, a project started by Piper Thunstrom. Piper joins us this episode and we talk about PursuedPyBear, learning to code, and learning CS concepts with game development. PursuedPyBear, ppb, is a game framework great for learning with, with goals of being fun, education friendly, an example of idiomatic Python, hardware library agnostic, and built on event driven and object oriented concepts.Special Guest: Piper Thunstrom.Links:PursuedPyBear | Unbearably Fun Game DevelopmentPiper's BlogMaking Games With PPB - PyTexasShooter Game by Piper Thunstromshootergame on GitHubBriefcase— BeeWaregame-blink: A tiny emergent behavior toy. Combat (Atari 2600) — The tank game I didn't remember the name of.Lunar Lander

Having a personal site is a great playground for learning tons of skills. Brian Wisti discusses the benefits of running a his own blog over the years.Special Guest: Brian Wisti.Links:Random GeekeryJamstackEleventyNetlifyPlausible AnalyticspytestBeautiful Souppyinvoke - Invoke!rsyncInternet Archive : archive.orgRichStatamicjamstack.orgA static site generator should be your next language learning project

PyPy is a fast, compliant alternative implementation of Python. cPython is implemented in C. PyPy is implemented in Python. What does that mean? And how do you test something as huge as an alternative implementation of Python?Special Guest: Carl Friedrich Bolz-Tereick.Links:PyPyHow is PyPy Tested? PyPy SpeedPython Speed Center

In Python, before dataclasses, we had attrs. Before attrs, it wasn't pretty.The story of attrs and dataclasses is actually intertwined.  They've built on each other. And in the middle of it all, Hynek.Hynek joins the show today to discuss some history of attrs and dataclasses, and some differences.If you ever need to create a custom class in Python, you should listen to this episode.Full TranscriptSpecial Guest: Hynek Schlawack.Links:attrs documentationHistory of attrs and introduction to attrs namespace cattrs: Complex custom class converters for attrs. — python-attrsPEP 557 – Data ClassesPEP 681 – Data Class Transforms

Will McGugan has brought a lot of color to CLIs within Python due to Rich.  Then Textual started rethinking full command line applications, including layout with CSS. And now Textualize, a new startup, is bringing CLI apps to the web.Full TranscriptSpecial Guest: Will McGugan.Links:richrich-clitextualTextualize.ioRich GalleryTextualize GalleryPython Bytes Podcast