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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 reveal hidden patterns lurking in the data you thought you understood. We’ll explore fresh research developments, practical use cases, and how outlier detection compares to other core data science tasks like prediction and clustering. If you're ready to spot those game-changing anomalies in your own projects, stay tuned.
Episode sponsors
Posit
Python in Production
Talk Python Courses
Links from the showData-morph: github.com
PyOD: github.com
Prophet: github.com
Episode transcripts: talkpython.fm
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Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy -
Today 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 containerization with Docker and Kubernetes can both simplify and complicate deployments, especially for smaller teams. Finally, we’ll introduce Scaf, a powerful project blueprint designed to give developers a rock-solid start on Python web projects of all sizes.
Get notified when the Talk Python in Production book goes live and read the first third online right now.
Episode sponsors
Posit
Python in Production
Talk Python Courses
Links from the showCalvin Hendryx-Parker: github.com
Scaf on GitHub: github.com
Scaf on GitHub (duplicate): github.com
"Deploy the Dream" song: deploy-the-dream-talk-python.mp3
CloudDevEngineering YouTube Channel: youtube.com
TechWorld with Nana YouTube Channel: youtube.com
Tilt (Kubernetes Dev Tool): tilt.dev
Talos (Minimal OS for Kubernetes): talos.dev
Traefik Reverse Proxy: traefik.io
Sealed Secrets on GitHub: github.com
Argo CD Documentation: readthedocs.io
MailHog on GitHub: github.com
Next.js: nextjs.org
Cloud Custodian: cloudcustodian.io
Valkey (Redis Replacement): valkey.io
“The ‘Works on My Machine’ Certification Program” (Coding Horror): blog.codinghorror.com
NVIDIA’s First Desktop AI PC (Ars Technica): arstechnica.com
Kind (Kubernetes in Docker): kind.sigs.k8s.io
Updated Effective PyCharm Course: training.talkpython.fm
Talk Python in Production book: talkpython.fm/books/python-in-production
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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On this episode, I’m joined by Dr. Jeff 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 Jeff’s Python library, OSMnx, makes that data easier to download, model, and visualize. Along the way, we talk about what shapes city streets around the world, how urban design influences everything from daily commutes to disaster resilience, and why turning open data into accessible tools can open up completely new ways of understanding our cities. If you’ve ever wondered how to build or analyze your own digital maps in Python, or what it takes to manage a project that transforms raw geographic data into meaningful research, you won’t want to miss this conversation.
Episode sponsors
Posit
Python in Production
Talk Python Courses
Links from the showCity Street Orientations World: geoffboeing.com
OSMnx Documentation: readthedocs.io
OSMnx GitHub: github.com
OpenStreetMap: openstreetmap.org
Open Database License: opendatacommons.org
ID Editor (Web Editor): wiki.openstreetmap.org
Planet OSM: planet.openstreetmap.org
Overpass API: wiki.openstreetmap.org
GeoPandas: geopandas.org
NetworkX: networkx.org
Shapely: shapely.readthedocs.io
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 -
As 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 framework for building desktop and mobile applications, and is in fact the one that we used to build the Talk Python courses app, you'd find at talkpython.fm/apps. That's why I'm so excited about Flet. Flet is a Python UI framework that is distributed and executed on the Flutter framework, making it possible to build mobile apps and desktop apps with Python. We have Feodor Fitsner back on the show after he launched his project a couple years ago to give us an update on how close they are to a full featured mobile app framework in Python.
Episode sponsors
Posit
Python in Production
Talk Python Courses
Links from the showFlet: flet.dev
Flet on Github: github.com
Packaging apps with Flet: flet.dev/docs/publish
Flutter: flutter.dev
React vs. Flutter: trends.stackoverflow.co
Kivy: kivy.org
Beeware: beeware.org
Mobile forge from Beeware: github.com
The list of built-in binary wheels: flet.dev/docs/publish/android#binary-python-packages
Difference between dynamic and static Flet web apps: flet.dev/docs/publish/web
Integrating Flutter packages: flet.dev/docs/extend/integrating-existing-flutter-packages
serious_python: pub.dev/packages/serious_python
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 -
In 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, and more. JJ shares his journey from creating RStudio to developing Quarto as a versatile, multi-language tool, while Carlos delves into its roots in reproducibility and the challenges of academic publishing. Don't miss this deep dive into a tool that's shaping the future of data-driven storytelling!
Episode sponsors
Talk Python Courses
Podcast Later
Links from the showJJ Allaire
JJ on LinkedIn: linkedin.com
JJ on GitHub: github.com
Carlos Scheidegger
Personal site: cscheid.net
Mastodon: @scheidegger
Fast AI: fast.ai
nbdev: nbdev.fast.ai
nbsanity - Share Notebooks as Polished Web Pages in Seconds: answer.ai
Pandoc: pandoc.org
Observable: github.com
Quarto Pub: quartopub.com
Deno: deno.com
Real World Data Science site: realworlddatascience.net
Typst: typst.app
Github Actions for Quarto: github.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 -
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 plots and interactive elements and the importance of structure, format, and style in crafting tables that both inform and inspire. Whether you're a seasoned data scientist or just starting out, this episode is packed with valuable tips and inspiring examples to enhance your data storytelling.
Episode sponsors
Posit
Podcast Later
Talk Python Courses
Links from the showMichael Chow: github.com/machow
Richard Iannone: github.com/rich-iannone
Episode Deep Dives Writeup: talkpython.fm/blog
Great Tables: github.com
Making Beautiful, Publication Quality Tables PyCon talk: youtube.com
Andrew Weatherman's Visualization Gallery: aweatherman.com
Bureau of the Census Manual of Tabular Presentation: census.gov
Table Contest: posit.co
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 -
Join 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, and the fascinating way MotherDuck (the cloud companion to DuckDB) handles large-scale data seamlessly. Don’t miss this chance to learn how a single pip install could totally transform your Python data workflow!
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Data Citizens Podcast
Talk Python Courses
Links from the showAlex on Mastodon: @__Alex__
DuckDB: duckdb.org
MotherDuck: motherduck.com
SQLite: sqlite.org
Moka-Py: github.com
PostgreSQL: www.postgresql.org
MySQL: www.mysql.com
Redis: redis.io
Apache Parquet: parquet.apache.org
Apache Arrow: arrow.apache.org
Pandas: pandas.pydata.org
Polars: pola.rs
Pyodide: pyodide.org
DB-API (PEP 249): peps.python.org/pep-0249
Flask: flask.palletsprojects.com
Gunicorn: gunicorn.org
MinIO: min.io
Amazon S3: aws.amazon.com/s3
Azure Blob Storage: azure.microsoft.com/products/storage
Google Cloud Storage: cloud.google.com/storage
DigitalOcean: www.digitalocean.com
Linode: www.linode.com
Hetzner: www.hetzner.com
BigQuery: cloud.google.com/bigquery
DBT (Data Build Tool): docs.getdbt.com
Mode: mode.com
Hex: hex.tech
Python: www.python.org
Node.js: nodejs.org
Rust: www.rust-lang.org
Go: go.dev
.NET: dotnet.microsoft.com
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'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
Sentry Error Monitoring, Code TALKPYTHON
Bluehost
Talk Python Courses
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
--- 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 -
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
Sentry Error Monitoring, Code TALKPYTHON
Bluehost
Talk Python Courses
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
--- 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 -
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 ---
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 -
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
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
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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
Bluehost
Talk Python Courses
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
--- 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 -
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
Posit
Bluehost
Talk Python Courses
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
--- 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 -
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
--- 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 -
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
Bluehost
Talk Python Courses
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
--- 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 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
Sentry Error Monitoring, Code TALKPYTHON
Bluehost
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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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 -
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
Bluehost
Talk Python Courses
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
Talk Python Courses
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
Sentry Error Monitoring, Code TALKPYTHON
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
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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 -
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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