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Do 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, created by Miguel Sanda, which can do just that.
Episode sponsors
Auth0
Talk Python Courses
Links from the showMiguel Sanda on Twitter: @elarroba
Miguel on Mastodon: @[email protected]
Miguel on GitHub: github.com
Django Ledger on Github: github.com
Django Ledger Discord: discord.gg
Get Started with Django MongoDB Backend: mongodb.com
Wagtail CMS: wagtail.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Have 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 always stay in lockstep. And that's just the start! We'll also dig into Akshay's background at Google Brain and Stanford, what it's like to work on the cutting edge of AI, and how Marimo is uniting the best of data science exploration and real software engineering.
Episode sponsors
Worth Search
Talk Python Courses
Links from the showAkshay Agrawal: akshayagrawal.com
YouTube: youtube.com
Source: github.com
Docs: marimo.io
Marimo: marimo.io
Discord: marimo.io
WASM playground: marimo.new
Experimental generate notebooks with AI: marimo.app
Pluto.jl: plutojl.org
Observable JS: observablehq.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Eksik bölüm mü var?
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We'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 away the boilerplate parts of deployment, so you can focus on building features instead of deciphering endless configs. We'll talk about this new project's journey to 1.0, the range of hosting platforms it supports, and why it's not just for beginners.
Episode sponsors
Worth Search
Talk Python Courses
Links from the showdjango-simple-deploy documentation: readthedocs.io
django-simple-deploy repository: github.com
Python Crash Course book: ehmatthes.github.io
Code Red: codered.cloud
Docker: docker.com
Caddy: caddyserver.com
Bunny.net CDN: bunny.net
Platform.sh: platform.sh
fly.io: fly.io
Heroku: heroku.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 -
This 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 and Android in CPython, and so much more. I can't wait to explore how BeeWare opens up the entire mobile ecosystem for Python developers, let's jump right in.
Episode sponsors
Posit
Python in Production
Talk Python Courses
Links from the showAnaconda open source team: anaconda.com
PEP 730 – Adding iOS: peps.python.org
PEP 738 – Adding Android: peps.python.org
Toga: beeware.org
Briefcase: beeware.org
emscripten: emscripten.org
Russell Keith-Magee - Keynote - PyCon 2019: youtube.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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Michael on Mastodon: mkennedy -
In 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 should we say GUI?) frameworks. Whether you're looking to supercharge your command-line tools or just curious how Python can push the limits of text-based UIs, you'll love hearing how Will's taking a modern, web-inspired approach to old-school terminals.
Episode sponsors
Posit
Python in Production
Talk Python Courses
Links from the showAlgorithms for high performance terminal apps post: textual.textualize.io
Textual Demo: github.com
Textual: textualize.io
Zero ver: 0ver.org
memray: github.com
Posting app: posting.sh
Bulma CSS framewokr: bulma.io
JP Term: davidbrochart.github.io
Rich: github.com
btop: github.com
starship: starship.rs
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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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.
Discount code for book: TPkennedy3 (45% off, no expiration date)
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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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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Michael on Mastodon: mkennedy -
On 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 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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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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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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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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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
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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
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
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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
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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
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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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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
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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
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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
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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
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Michael on Mastodon: mkennedy - Daha fazla göster
