Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
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pytest-repeat - works fine on Python 3.14
Manage episode 476331010 series 2508404
Content provided by Brian Okken. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brian Okken or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
pytest-repeat
- is a pytest plugin that makes it easy to repeat a single test, or multiple tests, a specific number of times.
- works fine on Python 3.14
- is tested on Python 3.9-3.14
- probably works fine still on 3.7 & 3.8
This episode also discusses the attempted April Fools episode.
Links:
- pytest-repeat
- The April Fools episode: Python 3.14 won't repeat with pytest-repeat
Sponsored by:
- The Complete pytest course is now a bundle, with each part available separately.
- pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively.
- Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI
- Then pytest Booster Rockets can help with advanced parametrization and building plugins.
- Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you.
232 episodes
Manage episode 476331010 series 2508404
Content provided by Brian Okken. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brian Okken or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
pytest-repeat
- is a pytest plugin that makes it easy to repeat a single test, or multiple tests, a specific number of times.
- works fine on Python 3.14
- is tested on Python 3.9-3.14
- probably works fine still on 3.7 & 3.8
This episode also discusses the attempted April Fools episode.
Links:
- pytest-repeat
- The April Fools episode: Python 3.14 won't repeat with pytest-repeat
Sponsored by:
- The Complete pytest course is now a bundle, with each part available separately.
- pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively.
- Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI
- Then pytest Booster Rockets can help with advanced parametrization and building plugins.
- Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you.
232 episodes
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Test & Code


1 The role of AI in software testing - Anthony Shaw 58:07
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AI is helping people write code. Tests are one of those things that some people don't like to write. Can AI play a role in creating automated software tests? Well, yes. But it's a nuanced yes. Anthony Shaw comes on the show to discuss the topic and try to get AI to write some test for my very own cards project. We discuss: The promise of AI writing your tests for you Downsides to not writing tests yourself Bad ways to generate tests Good ways to ask AI for help in writing tests Tricks to get better results while using copilot and other AI tools Links: The cards project A video version of this discussion: Should AI write tests? Sponsored by: Porkbun -- named the #1 domain registrar by USA Today from 2023 to 2025! Get a .app or.dev domain name for only $5.99 first year. Learn pytest: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


pytest-repeat is a pytest plugin that makes it easy to repeat a single test, or multiple tests, a specific number of times. works fine on Python 3.14 is tested on Python 3.9-3.14 probably works fine still on 3.7 & 3.8 This episode also discusses the attempted April Fools episode. Links: pytest-repeat The April Fools episode: Python 3.14 won't repeat with pytest-repeat Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


pytest-repeat is a pytest plugin that makes it easy to repeat a single test, or multiple tests, a specific number of times. Note: This was an April Fools attempt, so the statement ... "Unfortunately, it doesn't seem to work with Python 3.14, even though there is no rational reason why it shouldn't work." ... is NOT true. Listen to the NEXT episode to get an explanation Links: pytest-repeat Next episode: pytest-repeat - works fine on Python 3.14 Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


1 pytest-html - a plugin that generates HTML reports for test results 6:49
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pytest-html has got to be one of my all time favorite plugins. pytest-html is a plugin for pytest that generates a HTML report for test results. This episode digs into some of the super coolness of pytest-html. pytest-html repo readme with screenshot enhancing reports pytest-metadata Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


1 pytest-md and pytest-md-report: Markdown reports for pytest 10:41
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Markdown reports as either text or markdown tables. Two fun plugins discussed. Links: pytest-md-report pytest-md Top pytest Plugins Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


1 Mocking in Python with unittest.mock - Michael Foord 47:49
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This episode is a replay of a 2021 interview I did with Michael Foord. We lost Michael in January, and I'd like to revisit this interview as a tribute. Michael Foord was a pivotal figure in the Python community and the creator of the mock library that's now unittest.mock. But he did so much more as well. His contributions continue to resonate within the developer community. This interview is just a small peek at his influence. In this episode Introduction to Michael Foord The Mock Library Origins Mocking and Testing Philosophy Career Path and Consulting Understanding Mocking The Power of Patch Testing Strategies and Design Mocking External Dependencies Teaching Testing and Mocking python.org has put up an "In memoriam" page for Michael Foord , and many people have shared stories and memories. Links: In memoriam: Michael Foord 1974-2025 30 best practices for software development and testing ★ Support this podcast on Patreon ★…
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Test & Code


pytest-mock is currently the #3 pytest plugin. pytest-mock is a wrapper around unittest.mock. In this episode: Why the pytest-mock plugin is awesome What is mocking, patching, and monkey patching What, if any, is the difference between mock, fake, spy, stub. Why we might need these in testing Some history of mock in Python and how mock became unittest.mock From unittest.mock patch.object patch.object with autospec using these as context managers pytest-mock: The mocker fixture Cleanup in teardown Using mocker.patch, mocker.spy, and mocker.stub Why it's awesome and why you might want to use it over straight unittest.mock Links: top pytest plugins list pytest-mock documentation unittest.mock Podcast episode discussing unittest.mock with Michael Foord monkeypatch Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


1 pytest-cov : The pytest plugin for measuring coverage 13:01
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pytest-cov is a pytest plugin that helps produce coverage reports using Coverage.py. In this episode, we'll discuss: what Coverage.py is why you should measure code coverage on both your source and test code what pytest-cov is extra features pytest-cov gives you over and above coverage.py and generally why using both is awesome Links: coverage.py pytest-cov how to set up context reports Top pytest Plugins Errata: I mentioned that Coverage has the ability to show context (which line is covered by which test) for the past year or so. However, that feature was released in Oct 2018. coverage 5.0 alpha That's over 6 years. Oops. Sorry Ned. Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
This episode kicks off a season of pytest plugins. In this episode: Introduction to pytest plugins The pytest.org pytest plugin list Finding pytest related packages on PyPI The Top pytest plugins list on pythontest.com Exploring popular plugins Learning from plugin examples Links: Top pytest plugins list pytest.org plugin list Top PyPI Packages And links to plugins mentioned in the show can be found at pythontest.com/top-pytest-plugins Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


Taking notes well can help to listen better, remember things, show respect, be more accountable, free up mind space to solve problems. This episode discusses the benefits of writing things down preparing for a meeting taking notes in meetings reviewing notes for action items, todo items, things to follow up on, etc. taking notes to allow for better focus writing well structured emails writing blog posts and books Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


In this episode we're talking about importing part of a package into another part of the same package. We'll look at: `from . import module` and `from .module import something` and also: `import package` to access the external API from with the package. Why would we use `import package` if `from . import api` would work fine? Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


1 221: How to get pytest to import your code under test 8:18
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We've got some code we want to test, and some tests. The tests need to be able to import the code under test, or at least the API to it, in order to run tests against it. How do we do that? How do we set things up so that our tests can import our code? In this episode, we discuss two options: Installing the code under test as a pip installable package with `pip install -e /path/to/local/package`. Using the pythonpath pytest setting . Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


1 220: Getting the most out of PyCon, including juggling - Rob Ludwick 41:09
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PyCon US is just around the corner. I've asked Rob Ludwick to come on the show to discuss how to get the most out of your PyCon experience. There's a lot to do. A lot of activities to juggle, including actual juggling, which is where we start the conversation. Even if you never get a chance to go to PyCon, I hope this interview helps you get a feel for the welcoming aspect of the Python community. I recorded this interview as an episode for one of my other podcasts, Python People. But I think it's got some great pre-conference advice, so I'm sharing it here on Python Test as well. We talk about: - Juggling at PyCon - How to get the most out of PyCon - Watching talks - Hallway track - Open spaces - Lightening talks - Expo hall / vendor space - Poster sessions - Job fair - A welcoming community - Tutorials - Sprints - But mostly about the people of Python and PyCon. "Python enables smart people to work faster" - Rob Ludwick Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


1 219: Building Django Apps & SaaS Pegasus - Cory Zue 48:42
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I'm starting a SaaS project using Django, and there are tons of decisions right out of the gate. To help me navigate these decisions, I've brought on Cory Zue. Cory is the creator of SaaS Pegasus , and has tons of experience with Django. Some of the topics discussed: Building Django applications SaaS Pegasus placecard.me What boilerplate projects are Django cookiecutter Cookiecutter Which database to use, probably PostgreSQL Authentication choises, probably Allauth Docker, Docker for development, Docker for deployment Deployment targets / hosting services. Render, Heroku, Fly.io, for PaaS options. Front end frameworks. Bootstrap, Tailwind, DaisyUI, TailwindUI HTMX vs React vs straight Django templates Rockets Font Awesome and of course, SaaS Pegasus Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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Test & Code


1 218: Balancing test coverage with test costs - Nicole Tietz-Sokolskaya 28:30
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Nicole is a software engineer and writer, and recently wrote about the trade-offs we make when deciding which tests to write and how much testing is enough. We talk about: Balancing schedule vs testing How much testing is the right about of testing Should code coverage be measured and tracked Good refactoring can reduce code coverage Is it worth testing error conditions? Are rare error codes ok to just monitor? API drift and autospec Mitigating risk Deciding what to test and what not to test Focus testing on key money-making features If there's a bug in this part of the code, how much business impact is there? Performance testing needs to approximately match real world workloads Cost of a service breaking vs the cost of creating, maintaining, and running tests Keeping test suites quick to minimize getting distracted Links: Too much of a good thing: the trade-off we make with tests Load testing is hard, and the tools are... not great. But why? Yet Another Rust Resource (YARR!) Goodhart's law - "When a measure becomes a target, it ceases to be a good measure" Sponsored by: The Complete pytest course is now a bundle, with each part available separately. pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively. Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI Then pytest Booster Rockets can help with advanced parametrization and building plugins. Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you. ★ Support this podcast on Patreon ★…
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