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Michael Kennedy

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.

Talk Python To Me

See the full show notes for this episode on the website at talkpython.fm/488

#488: Multimodal data with LanceDB

See the full show notes for this episode on the website at talkpython.fm/489

#489: Anaconda Toolbox for Excel and more with Peter Wang

See the full show notes for this episode on the website at talkpython.fm/490

#490: Django Ninja

See the full show notes for this episode on the website at talkpython.fm/491

#491: DuckDB and Python: Ducks and Snakes living together

See the full show notes for this episode on the website at talkpython.fm/492

#492: Great Tables

See the full show notes for this episode on the website at talkpython.fm/493

#493: Quarto: Open-source technical publishing

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 show
Flet: 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 #494 deep-dive: talkpython.fm/494

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

#494: Update on Flet: Python + Flutter UIs

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 show
City 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 #495 deep-dive: talkpython.fm/495

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

#495: OSMnx: Python and OpenStreetMap

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 show
Calvin 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 #496 deep-dive: talkpython.fm/496

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

#496: Scaf: Complete blueprint for new Python Kubernetes projects

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 Outlier Detection in Python book: talkpython45 (45% off, no expiration date).

Episode sponsors

Posit

Python in Production

Talk Python Courses

Links from the show
Data-morph: github.com

PyOD: github.com

Prophet: github.com

Outlier Detection in Python Book: manning.com

Episode #497 deep-dive: talkpython.fm/497

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

#497: Outlier Detection with Python

Why do people listen to this podcast? Sure, they're looking for technical explorations of new libraries and ideas. But often it's to hear the story behind them. If that speaks to you, then I have the perfect episode lined up. I have Barry Warsaw, Paul Everitt, Carol Willing, and Brett Cannon all back on the show to share stories from the history of Python. You'll hear about how import this came to be and how the first PyCon had around 30 attendees (two of whom are guests on this episode!). Sit back and enjoy the humorous stories from Python's past.

Episode sponsors

Posit

Agntcy

Talk Python Courses

Links from the show
Barry's Zen of Python song: youtube.com

Jake Vanderplas - Keynote - PyCon 2017: youtube.com

Why it’s called “Python” (Monty Python fan-reference): geeksforgeeks.org

import antigravity: python-history.blogspot.com

NIST Python Workshop Attendees: legacy.python.org

Paul Everitt open-sources Zope: old.zope.dev

Carol Willing wins ACM Software System Award: awards.acm.org

Watch this episode on YouTube: youtube.com

Episode #513 deep-dive: talkpython.fm/513

Episode transcripts: talkpython.fm

Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong

--- 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

#513: Stories from Python History

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