Avsnitt
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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 Django Ninja on this show to tell us all about it.
Episode sponsors
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Links from the showVitaly: github.com/vitalik
Vitaly on X: @vital1k
Top 5 Episodes of 2024: talkpython.fm/blog/posts/top-talk-python-podcast-episodes-of-2024
Django Ninja: django-ninja.dev
Motivation section we talked through: django-ninja.dev/motivation
LLM for Django Ninja: llm.django-ninja.dev
Nano Django: github.com/vitalik/nano-django
Episode transcripts: talkpython.fm
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Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Peter 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 topics and trends.
Episode sponsors
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Links from the showPeter on BSky: @wang.social
Michael on BSky: @mkennedy.codes
Michael's Curated BSky Starter List: bsky.app
Python Blsky Starter Pack List: blueskydirectory.com
Anaconda Toolbox for Microsoft Excel: anaconda.com
JupyterLite: jupyter.org
8 of the Biggest Excel Mistakes of All Time: blog.hurree.co
The Five Demons of Python Packaging PyBay talk: youtube.com
PEP 759: peps.python.org
TIOBE Index: tiobe.com
pyscript: pyscript.net
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Saknas det avsnitt?
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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 TALKPYTHON
Bluehost
Talk Python Courses
Links from the showChang She: @changhiskhan
Chang on Github: github.com
LanceDB: lancedb.com
LanceDB Source: github.com
Embeddings API: github.com
MinIO: min.io
LanceDB Quickstart: github.com
VectorDB-recipes: github.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
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Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
There 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 apps in Rust with David Seddon and Samuel Colvin.
Episode sponsors
Posit
Data Citizens Podcast
Talk Python Courses
Links from the showSamuel Colvin: github.com/samuelcolvin
David Seddon: github.com/seddonym
David's blog: seddonym.me
Pydantic: pydantic.dev
PEP 0759: peps.python.org
TypeShed: github.com
Maturin: maturin.rs
rloop: github.com
Install Rust: rust-lang.org
Py03: pyo3.rs
The Rust Programming Language (book): https://doc.rust-lang.org/book/
Grimp: github.com
Grimp Workflows: github.com
White House recommends memory safe languages: whitehouse.gov
Installing Rust: rust-lang.org
jiter: github.com
import-linter: github.com
Logfire: pydantic.dev
Crabs in Snakes, David Seddon, Pycon Italia: youtube.com
Kraken engineering blog: engineering.kraken.tech
Serde: serde.rs
Mypy stub testing: mypy.readthedocs.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
If 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 reach, until CSnakes. This project by Anthony Shaw and Aaron Powell unlocks some pretty serious integration between the two languages. We have them both here on the show today to tell us all about it.
Episode sponsors
Posit
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Links from the showAnthony Shaw: github.com
Aaron Powell: github.com
Introducing CSnakes: tonybaloney.github.io
CSnakes: tonybaloney.github.io
Talk Python: We've moved to Hetzner: talkpython.fm/blog
Talk Python: Talk Python rewritten in Quart (async Flask): talkpython.fm/blog
Pyjion - A JIT for Python based upon CoreCLR: github.com
Iron Python: ironpython.net
Python.NET: pythonnet.github.io
The buffer protocol: docs.python.org
Avalonia UI: avaloniaui.net
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
What 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
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Links from the showTanya on X: @shehackspurple
She Hacks Purple website: shehackspurple.ca
White House recommends memory safe languages: whitehouse.gov
Python Developer Survey Results: jetbrains.com
Bandit: github.com
Semgrep Academy: academy.semgrep.dev
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Have 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 showSheena O'Connell: sheenaoc.com
An HTMX success story essay: sheenaoc.com
Sheena's HTMX Workshop: prelude.tech - discount code: talk_python
Talk Python's HTMX Courses
HTMX + Flask course: training.talkpython.fm
HTMX + Django course: training.talkpython.fm
Build An Audio AI App course: training.talkpython.fm
HTMX: htmx.org
Playwright: playwright.dev
django-template-partials: github.com
Michael's jinja_partials: github.com
django-guardian: github.com
Talk Python Courses HTMX Example: training.talkpython.fm/courses/all
Alpine.js: alpinejs.dev
David Guillot SaaS video: youtube.com
awesome-htmx: github.com
Guild of Educators: guildofeducators.org
The big rewrite song: youtube.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Let'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, React and more plus it handles the deployment for you. It's a cool idea. Let's talk to Elvis Kahoro and Nikhil Rao from Reflex.dev.
Episode sponsors
Posit
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Links from the showElvis: github.com
Nikhil: github.com
Reflex Framework: reflex.dev
Reflex source: github.com
Reflex docs: reflex.dev
Reflex Roadmap: github.com
AG Grid: ag-grid.com
Warp terminal: warp.dev
A Stroll Down Startup Lane episode: talkpython.fm
PuePy: Reactive frontend framework in Python episode: talkpython.fm
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Do 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 and teaching of git hooks.
Episode sponsors
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Talk Python Courses
Links from the showStefanie Molin: stefaniemolin.com
Talk Python Blog: talkpython.fm/blog
How to Set Up Pre-Commit Hooks: stefaniemolin.com
Common Pre-Commit Errors and How to Solve Them: stefaniemolin.com
A Behind-the-Scenes Look at How Pre-Commit Works: stefaniemolin.com
Pre-Commit Hook Creation Guide: stefaniemolin.com
(Pre-)Commit to Better Code Workshop: stefaniemolin.com
exif-stripper: stefaniemolin.com
exif-stripper on GitHub: github.com
docstring-validation-using-pre-commit-hook: numpydoc.readthedocs.io
Data Morph: Moving Beyond the Datasaurus Dozen: stefaniemolin.com
Data Morph on GitHub: github.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Hynek has been writing and speaking on some of the most significant topics in the Python space and I've enjoyed his takes. So I invited him on the show to share them with all of us. This episode really epitomizes one of the reasons I launched Talk Python 9 years ago. It's as if we run into each other at a bar during a conference and I ask Hynek, "So what are your thoughts on ..." and we dive down the rabbit hole for an hour. I hope you enjoy it.
Episode sponsors
WorkOS
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Links from the showHynek Schlawack on Mastodon: @hynek
Why I Still Use Python Virtual Environments in Docker: hynek.me
Production-ready Python Docker Containers with uv: hynek.me
Attrs: github.com
uv: astral.sh
What’s New In Python 4: python.org
BusyBox: busybox.net
Hynek's YouTube Channel: youtube.com
MOPUp for macOS: github.com
Homebrew Python Is Not For You: justinmayer.com
argon2-cffi: Argon2 for Python: github.com
pytest-freethreaded: github.com
LM Studio: lmstudio.ai
StackOverflow Trends Graph: trends.stackoverflow.co
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
If you work in data science, you definitely know about data frame libraries. Pandas is certainly the most popular, but there are others such as cuDF, Modin, Polars, Dask, and more. They are all similar but definitely not the same APIs and Polars is quite different. But here's the problem. If you want to write a library that is for users of more than one of these data frame frameworks, how do you do that? Or if you want to leave open the possibility of changing yours after the app is built, same problem. That's the problem that Narwhals solves. We have Marco Gorelli on the show to tell us all about it.
Episode sponsors
WorkOS
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Links from the showMarco Gorelli: @marcogorelli
Marco on LinkedIn: linkedin.com
Narwhals: github.io
Narwhals on Github: github.com
DuckDB: duckdb.org
Ibis: ibis-project.org
modin: readthedocs.io
Pandas and Beyond with Wes McKinney: talkpython.fm
Polars: A Lightning-fast DataFrame for Python: talkpython.fm
Polars: pola.rs
Pandas: pandas.pydata.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
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Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
You're about to launch your new app or API, or even just a big refactor of your current project. Will it stand up and deliver when you put it into production or when that big promotion goes live? Or will it wither and collapse? How would you know? Well you would test that of course. We have Anthony Shaw back on the podcast to dive into a wide range of tools and techniques for performance and loading testing of web apps.
Episode sponsors
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WorkOS
Talk Python Courses
Links from the showAnthony on Twitter: @anthonypjshaw
Anthony's PyCon Au Talk: youtube.com
locust load testing tool: locust.io
playwright: playwright.dev
mimesis: github.com
mimesis providers: mimesis.name
vscode pets: marketplace.visualstudio.com
vscode power-mode: marketplace.visualstudio.com
opentelemetry: opentelemetry.io
uptime-kuma: github.com
Talk Python uptime / status: talkpython.fm/status
when your serverless computing bill goes parabolic...: youtube.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
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Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Do you have kids? Maybe nieces and nephews? Or maybe you work in a school environment? Maybe it's just friend's who know you're a programmer and ask about how they should go about introducing programming concepts with them. Anna-Lena Popkes is back on the show to share her research on when and how to teach kids programming. We spend the second half of the episode talking about concrete apps and toys you might consider for each age group. Plus, some of these things are fun for adults too. ;)
Episode sponsors
WorkOS
Talk Python Courses
Links from the showAnna-Lena: alpopkes.com
Magical universe repo: github.com
Machine learning basics repo: github.com
PyData recording "when and how to start coding with kids": youtube.com
Robots and devices
Bee Bot: terrapinlogo.com
Cubelets: modrobotics.com
BBC Microbit: microbit.org
RaspberryPi: raspberrypi.com
Adafruit Qualia ESP32 for CircuitPython: adafruit.com
Zumi: robolink.com
Board games
Think Fun Robot Turtles Board Game: amazon.com
Visual programming:
Scratch Jr.: scratchjr.org
Scratch: scratch.org
Blocky: google.com
Microbit's Make Code: microbit.org
Code Club: codeclubworld.org
Textual programming
Code Combat: codecombat.com
Hedy: hedycode.com
Anvil: anvil.works
Coding classes / summer camps (US)
Portland Community College Summer Teen Program: pcc.edu
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Do you have text that you want to process automatically? Maybe you want to pull out key products or topics of conversation? Maybe you want to get the sentiment? The possibilities are many with this week's topic: NLP with spaCy and Python. Our guest, Vincent D. Warmerdam, has worked on spaCy and other tools at Explosion AI and he's here to give us his tips and tricks for working with text from Python.
Episode sponsors
Posit
Talk Python Courses
Links from the showCourse: Getting Started with NLP and spaCy: talkpython.fm
Vincent on X: @fishnets88
Vincent on Mastodon: @koaning
Programmable Keyboards on CalmCode: youtube.com
Sample Space Podcast: youtube.com
spaCy: spacy.io
Course: Build An Audio AI App: talkpython.fm
Lemma example: github.com
Code for spaCy course: github.com
Python Bytes transcripts: github.com
scikit-lego: github.com
Projects that import "this": calmcode.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
A couple of weeks ago, Charlie Marsh and the folks at Astral made another big splash with a major release of uv called "uv: Unified Python packaging" which has many far reaching features. We had to have Charlie on the show to give us the inside look into this development. Let's get to it.
Episode sponsors
Posit
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Links from the showCharlie Marsh on Twitter: @charliermarsh
Charlie Marsh on Mastodon: @charliermarsh
Episode follow up: Wrote up how we use uv at Talk Python: mkennedy.codes
uv: Unified Python packaging: astral.sh
Python executable management: astral.sh
Projects: astral.sh
Tools: astral.sh
Scripts: astral.sh
Rye and uv: August is Harvest Season for Python Packaging: lucumr.pocoo.org
Python Build Standalone releases: github.com
Rules: astral.sh
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Every year the core developers meet to discuss and propose the major changes and trends in Python itself. This invite-only conference of about 50 people happens inside PyCon in the US. Because it's private, we rarely get detailed looks inside this event. On this episode, we have Seth Michael Larson here to give us his account of the sessions and proposals. It's a unique look into the zeitgeist of CPython.
Episode sponsors
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Links from the showSeth on Mastodon: @[email protected]
Seth on Twitter: @sethmlarson
Seth on Github: github.com
The Python Language Summit 2024: blogspot.com
PEP 2026: Calendar versioning for Python: github.com
PSF authorized as a CVE Numbering Authority: python.org
Recommends Memory-Safe Programming Languages: blogspot.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Python performance has come a long way in recent times. And it's often the data scientists, with their computational algorithms and large quantities of data, who care the most about this form of performance. It's great to have Stan Seibert back on the show to talk about Python's performance for data scientists. We cover a wide range of tools and techniques that will be valuable for many Python developers and data scientists.
Episode sponsors
Posit
Talk Python Courses
Links from the showStan on Twitter: @seibert
Anaconda: anaconda.com
High Performance Python with Numba training: learning.anaconda.cloud
PEP 0703: peps.python.org
Python 3.13 gets a JIT: tonybaloney.github.io
Numba: numba.pydata.org
LanceDB: lancedb.com
Profiling tips: docs.python.org
Memray: github.com
Fil: a Python memory profiler for data scientists and scientists: pythonspeed.com
Rust: rust-lang.org
Granian Server: github.com
PIXIE at SciPy 2024: github.com
Free threading Progress: py-free-threading.github.io
Free Threading Compatibility: py-free-threading.github.io
caniuse.com: caniuse.com
SPy, presented at PyCon 2024: us.pycon.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Do you feel like ADHD is holding you back? Maybe you don't personally have ADHD but you work with folks who do and you'd like to support them better. Either way, how ADHD interplays with programming and programmers is pretty fascinating. On this episode we have Chris Ferdinandi who himself has ADHD and has written a lot about it to share his journey and his advice for thriving with ADHD as a programmer or data scientist.
Episode sponsors
Posit
Talk Python Courses
Links from the showChris on Mastodon: @cferdinandi
ADHD FTW Talk Python Page: adhdftw.com
Building a Second Brain: buildingasecondbrain.com
Building a Second Brain Book: buildingasecondbrain.com
White Collar Jobs are Just Meetings: theatlantic.com
Article with Fighting Duck-Sized Horses Agile: mensurdurakovic.com
Nothing Phone: nothing.tech
Apple Watch: apple.com
Todoist: todoist.com
Anytype (open source Notion): anytype.io
Obsidian: obsidian.md
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
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Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
This episode turned out to be a seminal one for me. After speaking with David about the Flask ecosystem, it finally convinced me to get moving and convert talkpython.fm to Quart. You can read all about the journey in a detailed write up I did at Talk Python rewritten in Quart (async Flask).
With this episode, I hope you’re ready for an inside look at the latest happenings in Flask, one of Python’s most popular web frameworks. David Lord, Flask’s lead maintainer, takes us behind the scenes of recent performance boosts (like a 50% speedup in Werkzeug), the future of async support via Quart, and how the broader Pallets ecosystem is evolving under one umbrella. You’ll also hear about Pallets Eco, which aims to streamline and revive critical Flask extensions, and learn how you can contribute to this massive open-source effort. If you use Flask, want to keep your Python apps on the cutting edge, or just love data-driven insights from top maintainers, this episode is for you.
Flask and its sister libraries are faster, leaner, and more maintainable than ever. The pallets-eco initiative aims to keep the Flask extension ecosystem thriving. David and the Pallets team welcome new contributors, especially folks interested in type annotations, extension maintenance, or community support. Check out the Pallets Discord to get involved!
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Talk Python Courses
Links from the showDavid on Mastodon: @davidism
David on X: @davidism
State of Pallets 2024 FlaskCon Talk: youtube.com
FlaskCon: flaskcon.com
FlaskCon 2024 Talks: youtube.com
Pallets Discord: discord.com
Pallets Eco: github.com
JazzBand: jazzband.co
Pallets Github Org: github.com
Jinja: github.com
Click: github.com
Werkzeug: github.com
MarkupSafe: github.com
ItsDangerous: github.com
Quart: github.com
pypistats: pypistats.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Michael on Mastodon: mkennedy
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If you want to get better at something, often times the path is pretty clear. If you get better at swimming, you go to the pool and practice your strokes and put in time doing the laps. If you want to get better at mountain biking, hit the trails and work on drills focusing on different aspects of riding. You can do the same for programming. Reuven Lerner is back on the podcast to talk about his book Pandas Workout. We dive into strategies for learning Pandas and Python as well as some of his workout exercises.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Scalable Path
Talk Python Courses
Links from the showReuven Lerner on Twitter: @reuvenmlerner
Pandas Workout Book: manning.com
Bamboo Weekly: Solar eclipse: bambooweekly.com
Bamboo Weekly: Avocado hand: bambooweekly.com
Scaling data science across Python and R: talkpython.fm
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
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Michael on Mastodon: mkennedy - Visa fler
