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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The podcast about Python and the people who make it great
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Talk Python to Me is a weekly podcast hosted by Michael Kennedy. The show covers a wide array of Python topics as well as many related topics (e.g. MongoDB, AngularJS, DevOps).The format is a casual 30 minute conversation with industry experts.
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The Python Test Podcast hosted by Brian Okken
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The role of AI in software testing - Anthony Shaw
58:07
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58:07AI 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…
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#502: Django Ledger: Accounting with Python
1:03:38
1:03:38
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1:03:38Do you or your company need accounting software? Well, there are plenty of SaaS products out there that you can give your data to. but maybe you also really like Django and would rather have a foundation to build your own accounting system exactly as you need for your company or your product. On this episode, we're diving into Django Ledger, create…
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#501: Marimo - Reactive Notebooks for Python
1:00:35
1:00:35
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1:00:35Have you ever spent an afternoon wrestling with a Jupyter notebook, hoping that you ran the cells in just the right order, only to realize your outputs were completely out of sync? Today's guest has a fresh take on solving that exact problem. Akshay Agrawal is here to introduce Marimo, a reactive Python notebook that ensures your code and outputs a…
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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 repea…
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#500: Django Simple Deploy and other DevOps Things
57:34
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57:34We're sitting down with Eric Matthes, the educator, author, and developer behind Django Simple Deploy. If you've ever struggled with taking that final step of getting your Django app onto a live server (without spending days wrestling with DevOps complexities), then give Django Simple Deploy a look. Eric shares how Django Simple Deploy automates aw…
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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 …
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#499: BeeWare and the State of Python on Mobile
1:07:47
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1:07:47This episode is all about Beeware, the project that working towards true native apps built on Python, especially for iOS and Android. Russell's been at this for more than a decade, and the progress is now hitting critical mass. We'll talk about the Toga GUI toolkit, building and shipping your apps with Briefcase, the newly official support for iOS …
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pytest-html - a plugin that generates HTML reports for test results
6:49
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6:49pytest-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 ea…
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#498: Algorithms for high performance terminal apps
1:08:16
1:08:16
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1:08:16In this episode, we welcome back Will McGugan, the creator of the wildly popular Rich library and founder of Textualize. We'll dive into Will's latest article on "Algorithms for High Performance Terminal Apps" and explore how he's quietly revolutionizing what's possible in the terminal, from smooth animations and dynamic widgets to full-on TUI (or …
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Have you ever wondered why certain data points stand out so dramatically? They might hold the key to everything from fraud detection to groundbreaking discoveries. This week on Talk Python to Me, we dive into the world of outlier detection with Python with Brett Kennedy. You'll learn how outliers can signal errors, highlight novel insights, or even…
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#496: Scaf: Complete blueprint for new Python Kubernetes projects
1:19:34
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1:19:34Today we explore the wild world of Python deployment with my friend, Calvin Hendryx-Parker from Six Feet Up. We’ll tackle some of the biggest challenges in taking a Python app from “it works on my machine” to production, covering inconsistent environments, conflicting dependencies, and sneaky security pitfalls. Along the way, Calvin shares how cont…
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pytest-md and pytest-md-report: Markdown reports for pytest
10:41
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10:41Markdown 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…
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#495: OSMnx: Python and OpenStreetMap
1:01:55
1:01:55
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1:01:55On this episode, I'm joined by Dr. Geoff Boeing, an assistant professor at the University of Southern California whose research spans urban planning, spatial analysis, and data science. We explore why OpenStreetMap is such a powerful source of global map data—and how Geoff's Python library, OSMnx, makes that data easier to download, model, and visu…
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#494: Update on Flet: Python + Flutter UIs
1:00:23
1:00:23
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1:00:23As Python developers, we're incredibly lucky to have over half a million packages that we can use to build our applications with over at PyPI. However, when it comes to choosing a UI framework, the options get narrowed down very quickly. Intersect those choices with the ones that work on mobile, and you have a very short list. Flutter is a UI frame…
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#493: Quarto: Open-source technical publishing
1:05:01
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1:05:01In this episode, I'm joined by JJ Allaire, founder and executive chairman at Posit, and Carlos Scheidegger, a software engineer at Posit, to explore Quarto, an open-source tool revolutionizing technical publishing. We discuss how Quarto empowers users to seamlessly transform Jupyter notebooks into polished reports, dashboards, e-books, websites, an…
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Mocking in Python with unittest.mock - Michael Foord
47:49
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47:49This 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 withi…
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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 unitt…
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Join me as I chat with Rich Iannone and Michael Chow from Posit where we explore the transformative power of data tables with the Great Tables library. We'll cover practical applications of Great Tables, showcasing how thoughtful design and advanced formatting can elevate your data presentations. And you'll learn about innovative features like nano…
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pytest-cov : The pytest plugin for measuring coverage
13:01
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13:01pytest-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 p…
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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…
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#491: DuckDB and Python: Ducks and Snakes living together
1:02:03
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1:02:03Join me for an insightful conversation with Alex Monahan, who works on documentation, tutorials, and training at DuckDB Labs. We explore why DuckDB is gaining momentum among Python and data enthusiasts, from its in-process database design to its blazingly fast, columnar architecture. We also dive into indexing strategies, concurrency considerations…
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If you're a Django developer, I'm sure you've heard so many people raving about FastAPI and Pydantic. But you really love Django and don't want to switch. Then you might want to give Django Ninja a serious look. Django Ninja is highly inspired by FastAPI, but is also deeply integrated into Django itself. We have Vitaliy Kucheryaviy the creator of D…
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#489: Anaconda Toolbox for Excel and more with Peter Wang
1:09:09
1:09:09
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1:09:09Peter Wang has been pushing Python forward since the early days of its data science roots. We're lucky to have him back on the show. We're going to talk about the Anaconda Toolbox for Excel as well as many other trends and topics that are hot in the Python space right now. I'm sure you'll enjoy listening to the two of us exchanging our takes on the…
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LanceDB is a developer-friendly, open source database for AI. It's used by well-known companies such as Midjourney and Character.ai. We have Chang She, the CEO and cofounder of LanceDB on to give us a look at the concept of multi-modal data and how you can use LanceDB in your own Python apps. Episode sponsors Sentry Error Monitoring, Code TALKPYTHO…
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#487: Building Rust Extensions for Python
1:02:24
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1:02:24There has been a lot of changes in the low-level Python space these days. The biggest has to be how many projects have rewritten core performance-intensive sections in Rust. Or even the wholesale adoption of Rust for newer projects such as uv and ruff. On this episode, we dive into the tools and workflow needed to build these portions of Python app…
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#486: CSnakes: Embed Python code in .NET
1:02:45
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1:02:45If you are a .NET developer or work in a place that has some of those folks, wouldn't it be great to fully leverage the entirety of PyPI with it's almost 600,000 packages inside your .NET code? But how would you do this? Previous efforts have let you write Python syntax but using the full libraries (especially the C-based ones) has been out of reac…
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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…
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#485: Secure coding for Python with SheHacksPurple
1:09:28
1:09:28
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1:09:28What do developers need to know about AppSec and building secure software? We have Tanya Janca (AKA SheHacksPurple) on the show to tell us all about it. We talk about what developers should expect from threat modeling events as well as concrete tips for security your apps and services. Episode sponsors Posit Bluehost Talk Python Courses Links from …
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#484: From React to a Django+HTMX based stack
57:44
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57:44Have you heard about HTMX? We've discussed it a time or two on this show. We're back with another episode on HTMX, this time with a real-world success story and lessons learned. We have Sheena O'Connell on to tell us how she moved from a React-Django app to pure Django with HTMX. Episode sponsors Posit Bluehost Talk Python Courses Links from the sh…
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#483: Reflex Framework: Frontend, Backend, Pure Python
1:03:05
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1:03:05Let's say you want to create a web app and you know Python really well. Your first thought might be Flask or Django or even FastAPI? All good choices but there is a lot to get a full web app into production. The framework we'll talk about today, Reflex, allows you to just write Python code and it turns it into a full web app running FastAPI, NextJS…
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#482: Pre-commit Hooks for Python Devs
1:10:20
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1:10:20Do you struggle to make sure your code is always correct before you check it in? What about your team members' code? That one person who never wants to run the linter? Tired of dealing with tons of conflicts and spurious git changes? You need git pre-commit hooks. We're lucky to have Stefanie Molin on this episode who has done a bunch of writing an…
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#481: Python Opinions and Zeitgeist with Hynek
1:03:00
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1:03:00See the full show notes for this episode on the website at talkpython.fm/481By Michael Kennedy (@mkennedy)
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#480: Ahoy, Narwhals are bridging the data science APIs
59:15
59:15
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59:15See the full show notes for this episode on the website at talkpython.fm/480By Michael Kennedy (@mkennedy)
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#479: Designing Effective Load Tests for Your Python App
59:06
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59:06See the full show notes for this episode on the website at talkpython.fm/479By Michael Kennedy (@mkennedy)
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#478: When and how to start coding with kids
54:25
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54:25See the full show notes for this episode on the website at talkpython.fm/478By Michael Kennedy (@mkennedy)
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#477: Awesome Text Tricks with NLP and spaCy
1:03:47
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1:03:47See the full show notes for this episode on the website at talkpython.fm/477By Michael Kennedy (@mkennedy)
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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 Comp…
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#476: Unified Python packaging with uv
1:12:59
1:12:59
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1:12:59See the full show notes for this episode on the website at talkpython.fm/476By Michael Kennedy (@mkennedy)
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See the full show notes for this episode on the website at talkpython.fm/475By Michael Kennedy (@mkennedy)
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#474: Python Performance for Data Science
1:08:23
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1:08:23See the full show notes for this episode on the website at talkpython.fm/474By Michael Kennedy (@mkennedy)
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See the full show notes for this episode on the website at talkpython.fm/473By Michael Kennedy (@mkennedy)
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#472: State of Flask and Pallets in 2024
1:01:33
1:01:33
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1:01:33See the full show notes for this episode on the website at talkpython.fm/472By Michael Kennedy (@mkennedy)
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See the full show notes for this episode on the website at talkpython.fm/471By Michael Kennedy (@mkennedy)
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#470: Python in Medicine and Patient Care
1:19:04
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1:19:04See the full show notes for this episode on the website at talkpython.fm/470By Michael Kennedy (@mkennedy)
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#469: PuePy: Reactive frontend framework in Python
58:46
58:46
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58:46See the full show notes for this episode on the website at talkpython.fm/469By Michael Kennedy (@mkennedy)
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See the full show notes for this episode on the website at talkpython.fm/468By Michael Kennedy (@mkennedy)
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See the full show notes for this episode on the website at talkpython.fm/467By Michael Kennedy (@mkennedy)
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See the full show notes for this episode on the website at talkpython.fm/466By Michael Kennedy (@mkennedy)
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#465: The AI Revolution Won't Be Monopolized
1:08:46
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1:08:46See the full show notes for this episode on the website at talkpython.fm/465By Michael Kennedy (@mkennedy)
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221: How to get pytest to import your code under test
8:18
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8:18We'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 pack…
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