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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#420: Database Consistency & Isolation for Python Devs
When you use a SQL database like Postgres, you have to understand the subtleties of isolation levels from "read committed" to "serializable." And distributed databases like MongoDB offer a range of consistency levels, from "eventually consistent" to "linearizable" and many options in between. Plus, it's easy enough to confuse "isolation" with "consistency!" We have A. Jesse Jiryu Davis from MongoDB back on the podcast to break it all down for us. Links from the show Jesse on Twitter: @jessejiryudavis Jesse on Mastodon: @jessejiryudavis@mas.to Files related to PyCon Talk: github.com Consistency and Isolation for Python Programmers blog post: emptysqua.re Consistency Models and Visuals: jepsen.io MongoDB Replication: mongodb.com MongoDB Transactions: mongodb.com Jesse's PyCon Talk: youtube.com Database Types: mongodb.com MongoDB Labs: github.com Watch this episode on YouTube: youtube.com --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Sentry Error Monitoring, Code TALKPYTHON influxdata Talk Python Training
#419: Debugging Python in Production with PyStack
Here's the situation. You have a Python app that is locked or even has completely crashed and all you're left with is a core dump on the server. Now what? It's time for PyStack! You can capture a view of your app as if you've set a breakpoint and even view the callstack and locals across langage calls (for example from Python to C++ and back). We have the maintainers, Pablo Galindo Salgado and Matt Wozniski, here to dive into PyStack. You'll definitely want to have this tool in your toolbox. Links from the show Pablo Galindo Salgado: @pyblogsal Matt Wozniski: github.com pystack: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Sentry Error Monitoring, Code TALKPYTHON RedHat Talk Python Training
#418: How To Keep A Secret in Python Apps
Think about the different APIs and databases your application works with. Every one of them requires either an API key or a database connection string that itself contains a password. How do you let your application access this sensitive information without storing it in source code or putting in other compromising locations? We have Glyph Lefkowitz on the show to share his security fable as well as just good advice for keeping secrets out of Python code. Links from the show Glyph on Mastodon: @glyph@mastodon.social ShhGit: github.com Encrust: github.com GitHub Security Alerts: github.com CIA Triad: fortinet.com pinpal: github.com XKCD Authorization: xkcd.com Tokenring: github.com AWS Vault: github.com Gimme-AWS-creds: github.com Secrets in GitHub Actions: github.com Python Client for HashiCorp Vault: python-hvac.org Pomodouroboros app: github.com DateType: pypi.org Haveibeenpwned: haveibeenpwned.com PEP 541: peps.python.org Glyph's security talk at PyCon: us.pycon.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors PyCharm RedHat Talk Python Training
#417: Test-Driven Prompt Engineering for LLMs with Promptimize
Large language models and chat-based AIs are kind of mind blowing at the moment. Many of us are playing with them for working on code or just as a fun alternative to search. But others of us are building applications with AI at the core. And when doing that, the slightly unpredictable nature and probabilistic nature of LLMs make writing and testing Python code very tricky. Enter promptimize from Maxime Beauchemin and Preset. It's a framework for non-deterministic testing of LLMs inside our applications. Let's dive inside the AIs with Max. Links from the show Max on Twitter: @mistercrunch Promptimize: github.com Introducing Promptimize ("the blog post"): preset.io Preset: preset.io Apache Superset: Modern Data Exploration Platform episode: talkpython.fm ChatGPT: chat.openai.com LeMUR: assemblyai.com Microsoft Security Copilot: blogs.microsoft.com AutoGPT: github.com Midjourney: midjourney.com Midjourney generated pytest tips thumbnail: talkpython.fm Midjourney generated radio astronomy thumbnail: talkpython.fm Prompt engineering: learnprompting.org Michael's ChatGPT result for scraping Talk Python episodes: github.com Apache Airflow: github.com Apache Superset: github.com Tay AI Goes Bad: theverge.com LangChain: github.com LangChain Cookbook: github.com Promptimize Python Examples: github.com TLDR AI: tldr.tech AI Tool List: futuretools.io Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors PyCharm RedHat Talk Python Training
#416: Open Source Sports Analytics with PySport
If you're looking for fun data sets for learning, for teaching, maybe a conference talk, or even if you're just really into them, sports offers up a continuous stream of rich data that many people can relate to. Yet, accessing that data can be tricky. Sometimes it's locked away in obscure file formats. Other times, the data exists but without a clear API to access it. On this episode, we talk about PySport - something of an awesome list of a wide range of libraries (mostly but not all Python) for accessing a wide variety of sports data from the NFL, NBA, F1, and more. We have Koen Vossen, maintainer of PySport to talk through some of the more popular projects. Links from the show Koen on Twitter: @mr_le_fox PySport on Twitter: @PySportOrg Calling R from Python: medium.com DuckDB: duckdb.org PySport Playground: playground.pysport.org NFLVerse: github.com NBA Stats: nba.com Sports Databases: opensource.pysport.org Data sets: opensource.pysport.org Visualizations: opensource.pysport.org I/O: opensource.pysport.org Models: opensource.pysport.org Scrapers/APIs: opensource.pysport.org Fast F1: docs.fastf1.dev Fast F1 graphics: docs.fastf1.dev Pysport Intro: pysport.org New Talk Python Training Apps: talkpython.fm Michael's blog post about the apps: mkennedy.codes Watch this episode on YouTube: youtube.com --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors PyCharm influxdata Talk Python Training
#415: Future of Pydantic and FastAPI
The release of Pydantic 2.0, its partial rewrite in Rust, and its refactoring into Pydantic core and top-level Pydantic in Python is big news. In fact, the alpha of Pydantic 2 was just released. Of course, these changes will have potentially wide ranging (and positive!) effects on libraries that are built upon Pydantic such as FastAPI, Beanie, and others. That's why this chance I had to catch up with Samuel Colvin from Pydantic and Sebastián Ramírez from FastAPI together, live from PyCon 2023. It's a super fun and wide ranging interview I'm sure you'll enjoy. Plus, there is a bit of an easter egg in the middle. Links from the show Sebastián Ramírez: @tiangolo Samuel Colvin: @samuel_colvin FastAPI: fastapi.tiangolo.com Pydantic: pydantic.dev Pydantic V2 Pre Release: pydantic.dev Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Sentry Error Monitoring, Code TALKPYTHON influxdata Talk Python Training
#414: A Stroll Down Startup Lane
At PyCon 2023, there was a section of the expo floor dedicated to new Python-based companies called Startup Row. I wanted to bring their stories and the experience of talking with these new startups to you. So in this episode, we'll talk with founders from these companies for 5 to 10 minutes each. Links from the show Ponder: ponder.io generally intelligent: generallyintelligent.com Wherobots: wherobots.ai Neptyne: neptyne.com Nixtla: nixtla.io Predibase: predibase.com Pynecone: pynecone.io Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Sentry Error Monitoring, Code TALKPYTHON Talk Python Training
#413: Live from PyCon 2023
Did you make this year's PyCon event in the US? There was a lot of excitement this time around in Salt Lake City. In this episode I'll bring you a bunch of experiences we had this year. It starts where frequent guest Jay Miller turns the tables and interviews me at the Microsoft booth on the expo hall floor in front of a live audience. Then you'll hear from Mario Munoz, Nick Muoh, Chris Williams, Ray McLendon, and Sean Tibor about their time at the conference. Links from the show Jay Miller: @kjaymiller Mario Munoz: @pythonbynight@fosstodon.org Ray McLendon: linkedin.com Nick Muoh: @nicksspirit@fosstodon.org Sean Tibor: @smtibor@fosstodon.org Chris Williams: @mistwire@fosstodon.org Python Community News: youtube.com The Birth & Death of JavaScript: destroyallsoftware.com Talk Python episode with Rivers Cuomo: talkpython.fm Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors airplane Sentry Error Monitoring, Code TALKPYTHON Talk Python Training
#412: PEP 711 - Distributing Python Binaries
What if we distributed CPython, the runtime, in the same way we distributed Python packages - as prebuilt binary wheels that only need to be downloaded and unzipped to run? For starters, that would mean we could ship and deploy Python apps without worrying whether Python itself is available or up-to-date on the platform. Nathaniel Smith has just proposed a PEP to do just that, PEP 711. And we'll dive into that with him next. Links from the show Nathaniel: @njs@mastodon.social [announce] Pybi and Posy: discuss.python.org PEP 711: peps.python.org Py2App: readthedocs.io PyInstaller: pyinstaller.org py-spy: github.com Anthropic: anthropic.com Trio: github.com Trio on Talk Python: talkpython.fm Zip Documentary: The Dark History of Zip Files: youtube.com Watch this episode on YouTube: youtube.com --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Sentry Error Monitoring, Code TALKPYTHON Talk Python Training
#411: Things I Wish Someone Had Explained To Me Sooner About Python
What advice would you give someone just getting into Python? What did you learn over time through hard work and a few tears that would have really helped you? It's a fun game to play and we have Jason McDonald on the podcast to give us his take. Enjoy! Links from the show Jason C. McDonald: @codemouse92@mastodon.online Dead Simple Python: nostarch.com Coroutines and Tasks: docs.python.org Duck Typing: wikipedia.org Static Duck Typing in Python with Protocols: daan.fyi PEP 709: peps.python.org PEP 289: peps.python.org Python Packaging Strategy Discussion - Part 1: discuss.python.org Branch-detective: github.com Hypothesis: readthedocs.io Pydantic v2 announcement: pydantic.dev Michael's venv alias: digitaloceanspaces.com Watch this episode on YouTube: youtube.com --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Sentry Error Monitoring, Code TALKPYTHON Talk Python Training
#410: The Intersection of Tabular Data and Generative AI
AI has taken the world by storm. It's gone from near zero to amazing in just a few years. We have ChatGPT, we have Stable Diffusion. But what about Jupyter Notebooks and pandas? In this episode, we meet Justin Waugh, the creator of Sketch. Sketch adds the ability to have conversational AI interactions about your pandas data frames (code and data). It's pretty powerful and I know you'll enjoy the conversation. Links from the show Sketch: github.com Lambdapromp: github.com Python Bytes 320 - Coverage of Sketch: pythonbytes.fm ChatGPT: chat.openai.com Midjourney: midjourney.com Github Copilot: github.com GitHub Copilot Litigation site: githubcopilotlitigation.com Attention is All You Need paper: research.google.com Live Colab Demo: colab.research.google.com AI Panda from Midjourney: digitaloceanspaces.com Ray: pypi.org Apache Arrow: arrow.apache.org Python Web Apps that Fly with CDNs Course: talkpython.fm Watch this episode on YouTube: youtube.com --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Brilliant 2023 Talk Python Training
#409: Privacy as Code with Fides
We all know that privacy regulations are getting more strict. And that many of our users no longer believe that "privacy is dead". But for even medium-sized organizations, actually tracking how we are using personal info in our myriad of applications and services is very tricky and error prone. On this episode, we have Thomas La Piana from the Fides project to discuss privacy in our applications and how Fides can enforce and track privacy requirements in your Python apps. Links from the show California Consumer Privacy Act (CCPA): oag.ca.gov 30 Biggest GDPR Fines So Far: tessian.com Website fined for Google Fonts: theregister.com Fides on Github: github.com Fides: ethyca.com Bunny.net Fonts: fonts.bunny.net DBT: getdbt.com eBFP Kernel tools: ebpf.io nox: nox.thea.codes rich-click: github.com Watch this episode on YouTube: youtube.com --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Microsoft Founders Hub 2023 Sentry Error Monitoring, Code TALKPYTHON Talk Python Training
#408: Hatch: A Modern Python Workflow
In recent years, there has been a lot of experimenting how we work with dependencies and external libraries for our Python code. There is pip, pip-tools, Poetry, pdm, pyenv, pipenv, Hatch and others workflows. We dove into this deeply back on episode 406: Reimagining Python's Packaging Workflows. We're back with Ofek Lev to take a deeper look at Hatch. Links from the show Hatch: hatch.pypa.io Ofek on Twitter: @Ofekmeister Mamba: github.com Hatch env management: hatch.pypa.io Packaging a Python project tutorial: packaging.python.org Customize project generation: hatch.pypa.io Textual: textualize.io Ruff on Talk Python: talkpython.fm RustUp: rustup.rs Conda: docs.conda.io import antigravity: xkcd.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Microsoft Founders Hub 2023 Sentry Error Monitoring, Code TALKPYTHON Talk Python Training
#407: pytest tips and tricks for better testing
If you're like most people, the simplicity and easy of getting started is a big part of pytest's appeal. But beneath that simplicity, there is a lot of power and depth. We have Brian Okken on this episode to dive into his latest pytest tips and tricks for beginners and power users. Links from the show pytest tips and tricks article: pythontest.com Getting started with pytest Course: training.talkpython.fm pytest book: pythontest.com Python Bytes podcast: pythonbytes.fm Brian on Mastodon: @brianokken@fosstodon.org Hypothesis: readthedocs.io Hypothesis: Reproducability: readthedocs.io Get More Done with the DRY Principle: zapier.com "The Key" Keyboard: stackoverflow.blog pytest plugins: docs.pytest.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Microsoft Founders Hub 2023 Brilliant 2023 Talk Python Training
#406: Reimagining Python's Packaging Workflows
The great power of Python is its over 400,000 packages on PyPI to serve as building blocks for your app. How do you get those needed packages on to your dev machine and managed within your project? What about production and QA servers? I don't even know where to start if you're shipping built software to non-dev end users. There are many variations on how this works today. And where we should go from here has become a hot topic of discussion. So today, that's the topic for Talk Python. I have a great panel of guests: Steve Dower, Pradyun Gedam, Ofek Lev, and Paul Moore. Links from the show Python Packaging Strategy Discussion - Part 1: discuss.python.org Thoughts on the Python packaging ecosystem: pradyunsg.me Python Packaging Authority: pypa.io Hatch: hatch.pypa.io Pyscript: pyscript.net Dark Matter Developers: The Unseen 99%: hanselman.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Cox Automotive Sentry Error Monitoring, Code TALKPYTHON Talk Python Training