Test & Code

pip : "pip installs packages" or maybe "Package Installer for Python" pip is an invaluable tool when developing with Python. A lot of people know pip as a way to install third party packages from pypi.org You can also use pip to install from other indexes (or is it indices?)You can also use pip to install a package in a local directory. That's the part I want to jump in and explore with Stéphane Bidoul. The way pip installs from a local directory is about to change, and the story is fascinating.Special Guest: Stéphane Bidoul.Links:The Odoo Community AssociationPEP 610 -- Recording the Direct URL Origin of installed distributions | Python.orgPEP 660 -- Editable installs for pyproject.toml based builds (wheel based) | Python.org — Bidoulpip install --no-index --find-links Solving issues related to out-of-tree builds · Issue #7555 · pypa/pippip list json format Help support the show AND 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 CIThen 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 ★

What flavor of TDD do you practice? In this episode we talk about:Classical vs Mockist TDDDetroit vs London (I actually refer to it in the episode as Chicago instead of Detroit. Oh well.)Static vs BehaviorInside Out vs Outside InDouble Loop TDDBDDFDDTracer BulletsRules of TDDTeam StructureLean TDD This is definitely an episode I'd like feedback on. Reach out to me for further questions or if I missed some crucial variant of TDD that you know and love.Links:Mocks Aren't Stubs - Martin FowlerMockists Are Dead. Long Live Classicists.Double Loop TDDBDD: Behavior-driven developmentFDD: Feature-driven developmentMy reaction to “Is TDD Dead?” - pythontest.comTest First Programming / Test First DevelopmentHumorous list of TDD variants — BDD = Buzzword Driven Development, CDD = Calendar Driven Development, etc Help support the show AND 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 CIThen 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 ★

Software development processes create value, and have waste, in the Lean sense of the word waste. Lean manufacturing and lean software development changed the way we look at value and waste. This episode looks at lean definitions of waste, so we can see it clearly when we encounter it.I'm going to use the term waste and value in future episodes. I'm using waste in a Lean sense, so we can look at software processes critically, see the value chain, and try to reduce waste.Lean manufacturing and lean software development caused people to talk about and examine waste and value, even in fields where we didn't really think about waste that much to begin with.Software is just ones and zeros. Is there waste?  When I delete a file, nothing goes into the landfill.The mistake I'm making here is confusing the common English definition of waste when what we're talking about is the Lean definition of waste.This episode tries to clear up the confusion.Links:Big Design Up FrontLightweight MethodologiesManifesto for Agile Software DevelopmentExtreme programmingThe New MethodologyTest First Programming / Test First DevelopmentTest Driven DevelopmentThe Pragmatic ProgrammerSix SigmaDMAICLean software developmentLean manufacturingThe Toyota WayLean Six SigmaDefinition of Waste by Merriam-Webster Help support the show AND 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 CIThen 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 ★

Should your code be DRY or DAMP or something completely different? How about your test code? Do different rules apply? Wait, what do all of these acronyms mean?We'll get to all of these definitions, and then talk about how it applies to both production code and test code in this episode. Links:The Pragmatic Programmer, 20th Anniversary EditionDon't repeat yourself - Wikipediaa-ha - Take On MeRule of three - WikipediaWhat does “DAMP not DRY” mean when talking about unit tests? - Stack Overflow Help support the show AND 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 CIThen 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 ★

When learning data science and machine learning techniques, you need to work on a data set. Matt Harrison had a great idea: Why not use your own Twitter analytics data? So, he did that with his own data, and shares what he learned in this episode, including some of his secrets to gaining followers.In this episode we talk about:Looking at your own Twitter analytics data.Using Python, pandas, Jupyter for data cleaning and exploratory analysisData visualizationMachine learning, principal component analysis, clusteringModel drift and re-running analysisWhat kind of tweets perform wellAnd much moreLinks:Applied Pandas: Twitter Analytics — the course Help support the show AND 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 CIThen 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 ★

Iterative processes that include writing test code and production code together, such as TDD, help make coding fun. All of us that care about developing quality code with the help of testing can learn from each other, regardless of programming language.Today we step outside our normal Python comfort zone and talk with Gio about TDD in Swift.Gio Lodi, author of TDD in Swift, joins the show to discuss Test Driven Development, software workflows, bottom up vs top down, rapid feedback, developer vs customer facing tests, and more.Links:TDD in Swift with SwiftUI and Combinemokacoding - Gio's blogXCTestSoftware Design: Tidy First? - Kent Beck on Substack Help support the show AND 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 CIThen 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 ★

pre-commit started as a framework for running linters and code formatters during git actions via git hooks. It's grown and expanded and now supports an extensive list of languages and actions and manual running of actions. But even at it's core, it's great for letting computers nitpick about whitespace and formatting, so that code reviews can focus on architecture and design.Anthony Sottile discusses pre-commit, for using locally by developers, and pre-commit.ci, which can run actions during merge requests."Git hook scripts are useful for identifying simple issues before submission to code review. We run our hooks on every commit to automatically point out issues in code such as missing semicolons, trailing whitespace, and debug statements. By pointing these issues out before code review, this allows a code reviewer to focus on the architecture of a change while not wasting time with trivial style nitpicks." - pre-commit.com"Developers spend a fair chunk of time during their development flow fixing relatively trivial problems in their code. pre-commit.ci both enforces that these issues are discovered, which is opt in for each developer workflow via pre-commit, but also fixes the issues automatically, letting developers focus their time on more valuable problems." - A user of pre-commit.ciLinks:pre-commitpre-commit supported hookspre-commit.ci Help support the show AND 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 CIThen 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 ★

Flake8 is a command-line tool for linting Python projects.  By default, it includes lint checks provided Pyflakes, pycodestyle, and McCabe It's also a platform, and allows plugins to extend the checks. Flake8 will run third-party extensions if they are found and installed.But what does all of that mean?Anthony Sottile is a maintainer of flake8 and has kindly offered to explain it to us.Links:Flake8: Your Tool For Style Guide Enforcementpyflakespycodestylemccabepyflakes/messages.pyflake8 Error / Violation Codeswemake-python-styleguideflake8-typing-importstox automation projectNoxpre-commit Help support the show AND 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 CIThen 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 ★

Tim Ottinger has four questions that work great in many situations, from doing homework, to cooking, to writing code, to entire software projects.They are actually awesome questions to ask during a software project.We discuss the questions, where they came from, and look at some uses in software.The questions:What is it that needs to be done?What do we need in order to do it?Where can we get what we need?How can we tell if we’re doing it right?Bonus question that can be swapped out for #1:What's the most important thing that it doesn't do yet?Links:The Four Questions Help support the show AND 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 CIThen 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 ★

You need tests for your web app. And it has a database. What do you do with the database during testing? Should you use the real thing? or mock it? Jeff Triplett says don't mock it.In this episode, we talk with Jeff about testing web applications, specifically Django apps, and of course talk about the downsides of database mocking.Links:"🤔 In ~12 years, I have never seen a case where mocking a database was a good idea. ..." Django NewsMotoTest & Code 103: Django - Lacey Williams HenschelModel Bakery: Smart fixtures for better tests Faker Help support the show AND 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 CIThen 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 ★