Talk Python To Me

#492: Great Tables Jan 30, 2025

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
Talk Python Courses
DigitalOcean

Links from the show

Michael 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
--- 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

#491: DuckDB and Python: Ducks and Snakes living together Dec 27, 2024

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

#490: Django Ninja Dec 24, 2024

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 show

Vitaly: 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

#489: Anaconda Toolbox for Excel and more with Peter Wang Dec 20, 2024

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 show

Peter 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

#488: Multimodal data with LanceDB Dec 12, 2024

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 show

Chang 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

#487: Building Rust Extensions for Python Dec 01, 2024

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 show

Samuel 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
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

#486: CSnakes: Embed Python code in .NET Nov 22, 2024

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 show

Anthony 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

#485: Secure coding for Python with SheHacksPurple Nov 15, 2024

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 show

Tanya 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

#484: From React to a Django+HTMX based stack Nov 05, 2024

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 show

Sheena 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

#483: Reflex Framework: Frontend, Backend, Pure Python Oct 29, 2024

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 show

Elvis: 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

#482: Pre-commit Hooks for Python Devs Oct 24, 2024

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 show

Stefanie 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
--- 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

#481: Python Opinions and Zeitgeist with Hynek Oct 17, 2024

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 show

Hynek 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

#480: Ahoy, Narwhals are bridging the data science APIs Oct 09, 2024

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 show

Marco 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 ---
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

#479: Designing Effective Load Tests for Your Python App Oct 06, 2024

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 show

Anthony 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 ---
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

#478: When and how to start coding with kids Sep 25, 2024

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 show

Anna-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
--- 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

#477: Awesome Text Tricks with NLP and spaCy Sep 20, 2024

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 show

Course: 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
--- 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

#476: Unified Python packaging with uv Sep 04, 2024

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
Talk Python Courses

Links from the show

Charlie 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
--- 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

#475: Python Language Summit 2024 Aug 24, 2024

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
Posit
Talk Python Courses

Links from the show

Seth on Mastodon: @sethmlarson@fosstodon.org
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
--- 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

#474: Python Performance for Data Science Aug 19, 2024

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 show

Stan 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

#473: Being a developer with ADHD Aug 02, 2024

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 show

Chris 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
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

#472: State of Flask and Pallets in 2024 Jul 26, 2024

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 show

David 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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#471: Learning and teaching Pandas Jul 22, 2024

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#470: Python in Medicine and Patient Care Jul 12, 2024

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#469: PuePy: Reactive frontend framework in Python Jul 08, 2024

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#468: Python Trends Episode 2024 Jul 01, 2024

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#467: Data Science Panel at PyCon 2024 Jun 20, 2024

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#466: Pydantic Performance Tips Jun 14, 2024

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#465: The AI Revolution Won't Be Monopolized Jun 08, 2024

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#464: Seeing code flows and generating tests with Kolo May 29, 2024

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#463: Running on Rust: Granian Web Server May 25, 2024

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#462: Pandas and Beyond with Wes McKinney May 15, 2024

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#461: Python in Neuroscience and Academic Labs May 09, 2024

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#460: Dropbase: Build Internal Tools with Python May 02, 2024

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#459: I Built A Python SaaS with AI Apr 27, 2024

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#458: Serverless Python in 2024 Apr 24, 2024

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#457: Software Supply Chain Security with Phylum Apr 19, 2024

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#455: Land Your First Data Job Apr 04, 2024

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#454: Data Pipelines with Dagster Mar 21, 2024

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#453: uv - The Next Evolution in Python Packages? Mar 13, 2024

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#452: Top Quart (async Flask) Extensions Mar 10, 2024

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#451: Djangonauts, Ready for Blast-Off Mar 01, 2024

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#450: Versioning Web APIs in Python Feb 22, 2024

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#449: Building UIs in Python with FastUI Feb 13, 2024

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#448: Full-Time Open Source Devs Panel Feb 08, 2024

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#447: Parallel Python Apps with Sub Interpreters Feb 03, 2024

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#446: Python in Excel Jan 26, 2024

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#445: Inside Azure Data Centers with Mark Russinovich Jan 19, 2024

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#444: The Young Coder's Blueprint to Success Jan 02, 2024

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#443: Python Bytes Crossover 2023 Dec 29, 2023

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#442: Ultra High Speed Message Parsing with msgspec Dec 14, 2023

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#441: Python = Syntactic Sugar? Dec 06, 2023

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#440: Talking to Notebooks with Jupyter AI Nov 30, 2023

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#439: Pixi, A Fast Package Manager Nov 22, 2023

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#438: Celebrating JupyterLab 4 and Jupyter 7 Releases Nov 16, 2023

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#437: HTMX for Django Developers (And All of Us) Nov 07, 2023

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#436: An Unbiased Evaluation of Environment and Packaging Tools Nov 01, 2023

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#435: PyPI Security Oct 25, 2023

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#434: Building Mobile Apps Backed with Python Oct 19, 2023

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#433: Litestar: Effortlessly Build Performant APIs Oct 15, 2023

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#432: Migrating to Pydantic 2.0: Beanie for MongoDB Oct 06, 2023

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#431: Visualizing CPython Release Process Sep 29, 2023

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#430: Delightful Machine Learning Apps with Gradio Sep 19, 2023

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#429: Taming Flaky Tests Sep 11, 2023

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#428: Django Trends in 2023 Aug 29, 2023

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#427: 10 Tips and Ideas for the Beginner to Expert Python Journey Aug 19, 2023

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#426: What's New in PyScript [August 2023] Aug 09, 2023

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#425: Memray: The endgame Python memory profiler Aug 04, 2023

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#424: Shiny for Python Jul 27, 2023

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#423: Solving 10 different simulation problems with Python Jul 24, 2023

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#422: How data scientists use Python Jul 07, 2023

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#421: Python at Netflix Jul 02, 2023

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#420: Database Consistency & Isolation for Python Devs Jun 26, 2023

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#419: Debugging Python in Production with PyStack Jun 14, 2023

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#418: How To Keep A Secret in Python Apps Jun 02, 2023

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#417: Test-Driven Prompt Engineering for LLMs with Promptimize May 30, 2023

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#416: Open Source Sports Analytics with PySport May 22, 2023

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#415: Future of Pydantic and FastAPI May 15, 2023

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#414: A Stroll Down Startup Lane May 07, 2023

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#413: Live from PyCon 2023 Apr 26, 2023

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#412: PEP 711 - Distributing Python Binaries Apr 19, 2023

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#411: Things I Wish Someone Had Explained To Me Sooner About Python Apr 14, 2023

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#410: The Intersection of Tabular Data and Generative AI Apr 06, 2023

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#409: Privacy as Code with Fides Apr 01, 2023

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#408: Hatch: A Modern Python Workflow Mar 24, 2023

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#407: pytest tips and tricks for better testing Mar 18, 2023

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#406: Reimagining Python's Packaging Workflows Mar 12, 2023

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#405: Testing in Radio Astronomy with Python and pytest Mar 03, 2023

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#404: Clean Code in Python Feb 20, 2023

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#403: Fusion Ignition Breakthrough and Python Feb 13, 2023

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#402: Polars: A Lightning-fast DataFrame for Python [updated audio] Feb 08, 2023

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#401: Migrating 3.8 Million Lines of Python Feb 02, 2023

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#400: Ruff - The Fast, Rust-based Python Linter Jan 25, 2023

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#399: Monorepos in Python Jan 18, 2023

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#398: Imaging Black Holes with Python Jan 14, 2023

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#397: Evaluating New Open Source Tech Panel Jan 05, 2023

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#396: AI Goes on Trial For Writing Code (crossover) Dec 30, 2022

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#395: Tools for README.md Creation and Maintenance Dec 22, 2022

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#394: Awesome Jupyter Libraries and Extensions in 2022 Dec 15, 2022

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#393: Space Science with Python Dec 08, 2022

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#392: Data Science from the Command Line Dec 02, 2022

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#391: Pyscript powered by MicroPython Nov 29, 2022

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#390: Mastodon for Python Devs Nov 15, 2022

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#389: 18 awesome asyncio packages in Python Nov 09, 2022

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#388: Python 3.11 is here and it's fast Nov 02, 2022

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#387: Build All the Things with Pants Build System Oct 27, 2022

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#386: Realtime Web Apps and Dashboards with H2O Wave Oct 19, 2022

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#385: Higher level Python asyncio with AnyIO Oct 15, 2022

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#384: Python Data Visualization - Where To Start? Oct 04, 2022

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#383: Textinator and Building macOS Apps with Python Sep 28, 2022

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#382: Apache Superset: Modern Data Exploration Platform Sep 22, 2022

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#381: Python Perf: Specializing, Adaptive Interpreter Sep 16, 2022

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#380: 7 lessons from building a modern TUI framework Sep 05, 2022

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#379: 17 Libraries You Should Be Using in Django Aug 26, 2022

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#378: Flet: Flutter apps in Python Aug 21, 2022

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#377: Python Packaging and PyPI in 2022 Aug 13, 2022

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#376: Pydantic v2 - The Plan Aug 04, 2022

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#375: Python Language Summit 2022 Jul 30, 2022

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#374: PSF Survey in Review Jul 20, 2022

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#373: Reinventing Azure's Python CLI Jul 12, 2022

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#372: Applied mathematics with Python Jul 08, 2022

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#371: pipx - Installable, Isolated Python Applications Jun 30, 2022

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#370: OpenBB: Python's Open-source Investment Platform Jun 22, 2022

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#369: Getting Lazy with Python Imports and PEP 690 Jun 16, 2022

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#368: End-to-End Web Testing with Playwright Jun 03, 2022

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#367: Say Hello to PyScript (WebAssembly Python) May 25, 2022

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#366: Optimizing PostgreSQL DB Queries with pgMustard May 20, 2022

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#365: Solving Negative Engineering Problems with Prefect May 12, 2022

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#364: Symbolic Math with Python using SymPy May 07, 2022

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#363: Python for .NET and C# developers Apr 28, 2022

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#362: Hypermodern Python Projects Apr 20, 2022

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#361: Pangeo Data Ecosystem Apr 16, 2022

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#360: Removing Python's Dead Batteries (in just 5 years) Apr 08, 2022

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#359: Lifecycle of a machine learning project Apr 03, 2022

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#358: Understanding Pandas visually with PandasTutor Mar 25, 2022

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#357: Python and the James Webb Space Telescope Mar 21, 2022

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#356: Tips for ML / AI startups Mar 14, 2022

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#355: EdgeDB - Building a database in Python Mar 06, 2022

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#354: Sphinx, MyST, and Python Docs in 2022 Feb 24, 2022

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#353: SQLModel: The New ORM for FastAPI and Beyond Feb 18, 2022

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#352: Running Python in Production Feb 08, 2022

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#351: Machine Learning Ethics and Laws Panel Feb 03, 2022

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#350: Python Steering Council 2021 Retrospective Jan 26, 2022

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#349: Meet Beanie: A MongoDB ODM + Pydantic Jan 22, 2022

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#348: Dear PyGui: Simple yet Fast Python GUI Apps Jan 17, 2022

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#347: Cinder - Specialized Python that Flies Jan 08, 2022

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#346: 20 Recommended Packages in Review Dec 21, 2021

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#345: 10 Tips and Tools for Developer Productivity Dec 15, 2021

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#344: SQLAlchemy 2.0 Dec 09, 2021

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#343: Do Excel things, get notebook Python code with Mito Nov 30, 2021

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#342: Python in Architecture (as in actual buildings) Nov 23, 2021

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#341: 25 Pandas Functions You Didn’t Know Existed Nov 17, 2021

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#340: Time to JIT your Python with Pyjion? Nov 10, 2021

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#339: Making Python Faster with Guido and Mark Nov 04, 2021

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#338: Using cibuildwheel to manage the scikit-HEP packages Oct 17, 2021

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#337: Kedro for Maintainable Data Science Oct 09, 2021

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#336: Terminal magic with Rich and Textual Oct 05, 2021

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#335: Gene Editing with Python Sep 24, 2021

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#334: Microsoft Planetary Computer Sep 18, 2021

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#333: State of Data Science in 2021 Sep 10, 2021

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#332: Robust Python Aug 31, 2021

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#331: Meet the Python Developer in Residence: Lukasz Langa Aug 27, 2021

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#330: Apache Airflow Open-Source Workflow with Python Aug 20, 2021

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#329: Geekout: Renewable Energy Aug 13, 2021

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#328: Piccolo: A fast, async ORM for Python (updated) Aug 08, 2021

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#327: Little Automation Tools in Python Jul 30, 2021

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#326: Building Desktop Apps with wxPython Jul 23, 2021

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#325: MicroPython + CircuitPython Jul 15, 2021

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#324: Gatorade-powered Python APIs Jul 09, 2021

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#323: Best practices for Docker in production Jul 03, 2021

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#322: A path into data science Jun 25, 2021

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#321: HTMX - Clean, Dynamic HTML Pages Jun 19, 2021

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#320: Python in the Electrical Energy Sector Jun 12, 2021

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#319: Typosquatting and Supply Chains Vulnerabilities Jun 06, 2021

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#318: Measuring your ML impact with CodeCarbon May 28, 2021

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#317: Python at the US Federal Election Commission May 21, 2021

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#316: Flask 2.0 May 14, 2021

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#315: Awesome FastAPI extensions and add ons May 07, 2021

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#314: Ask us about modern Python projects and tools Apr 30, 2021

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#313: Automate your data exchange with Pydantic Apr 22, 2021

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#312: Python Apps that Scale to Billions of Users Apr 18, 2021

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#311: Get inside the .git folder Apr 08, 2021

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#310: AMA (Ask Me Anything) with Michael Apr 02, 2021

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#309: What ML Can Teach Us About Life: 7 Lessons Mar 26, 2021

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#308: Docker for Python Developers (2021 Edition) Mar 20, 2021

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#307: Python from 1994 to 2021, my how you've grown! Mar 11, 2021

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#306: Scaling Python and Jupyter with ZeroMQ Mar 05, 2021

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#305: Python community at Python Discord Mar 01, 2021

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#304: asyncio all the things with Omnilib Feb 21, 2021

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#303: Python for Astronomy with Dr. Becky Feb 12, 2021

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#302: The Data Engineering Landscape in 2021 Feb 04, 2021

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#301: Deploying and running Django web apps in 2021 Jan 28, 2021

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#300: Building a data science startup (panel) Jan 22, 2021

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#299: Personal search engine with datasette and dogsheep Jan 17, 2021

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#298: Building ML teams and finding ML jobs Jan 11, 2021

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#297: Python year in review (2020 edition) Dec 28, 2020

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#296: Python in F1 racing Dec 23, 2020

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#295: GIS + Python Dec 18, 2020

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#294: oso authorizes Python Dec 07, 2020

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#293: Learning how to learn as a developer Dec 01, 2020

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#292: Pythonic identity (auth in Python ecosystem) Nov 26, 2020

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#291: Operational Resilience with Pyomo Nov 22, 2020

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#290: Side Hustles for Data Scientists Nov 13, 2020

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#289: Discovering exoplanets with Python Nov 09, 2020

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#288: 10 tips to move from Excel to Python Oct 31, 2020

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#287: Testing without dependencies, mocking in Python Oct 21, 2020

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#286: Python and ML at NASA Jet Propulsion Laboratory (JPL) Oct 16, 2020

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#285: Dask as a Platform Service with Coiled Oct 09, 2020

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#284: Modern and fast APIs with FastAPI Oct 04, 2020

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#283: Web scraping, the 2020 edition Sep 23, 2020

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#282: pre-commit framework Sep 17, 2020

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#281: Python in Car Racing Sep 09, 2020

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#280: Python and AI in Journalism Sep 05, 2020

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#279: Modern Python Developer's Toolkit Aug 29, 2020

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#278: Teach kids Python with real programming and fun games at Code Combat Aug 21, 2020

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#277: 10 tips every Django developer should know Aug 10, 2020

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#276: Geekout: Life in the solar system and beyond Aug 06, 2020

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#275: Beautiful Pythonic Refactorings Aug 01, 2020

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#274: Profiling data science code with FIL Jul 24, 2020

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#273: CoCalc: A fully colloborative notebook development environment Jul 18, 2020

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#272: No IoT things in hand? Simulate them with Device Simulator Express Jul 12, 2020

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#271: Unlock the mysteries of time, Python's datetime that is! Jul 04, 2020

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#270: Python in supply chains: oil rigs, rockets, and lettuce Jun 25, 2020

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#269: HoloViz - a suite of tools for Python visualization Jun 19, 2020

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#268: Analyzing dozens of notebook environments Jun 13, 2020

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#267: 15 amazing pytest plugins Jun 06, 2020

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#266: Refactoring your code, like magic with Sourcery May 29, 2020

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#265: Why is Python slow? May 19, 2020

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#264: 10 tips every Flask developer should know May 12, 2020

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#263: SEO for developers May 06, 2020

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#262: Build a career in data science May 01, 2020

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#261: Monitoring and auditing machine learning Apr 25, 2020

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#260: From basic script to interactive data sci app with Streamlit Apr 18, 2020

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#259: From Academia to Tech Industry and Python Apr 09, 2020

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#258: Thriving in a remote developer environment Apr 04, 2020

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#257: Exploring the galaxy with the fastest supercomputer, Python, and radio astronomy Mar 28, 2020

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#256: Click to run your notebook with Binder Mar 20, 2020

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#255: Talking to cars with Python Mar 14, 2020

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#254: A Python mentorship story Mar 06, 2020

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#253: Moon base geekout Feb 25, 2020

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#252: What scientific computing can learn from CS Feb 21, 2020

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#251: Building and UX Testing Azure's Python SDK Feb 13, 2020

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#250: Capture over 400x C02 as trees with AI and Python Feb 08, 2020

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#249: Capture the Staff of Pythonic Knowledge in TwilioQuest Jan 30, 2020

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#248: Climate change and your Python code Jan 24, 2020

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#247: Solo maintainer of open-source in academia Jan 16, 2020

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#246: Practices of the Python Pro Jan 09, 2020

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#245: Python packaging landscape in 2020 Jan 03, 2020

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#244: Top 10 Real Python Articles of 2019 Dec 27, 2019

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#243: Python on Windows is OK, actually Dec 17, 2019

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#242: Your education will be live-streamed Dec 11, 2019

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#241: Opal: Full stack health care apps Dec 07, 2019

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#240: A guided tour of the CPython source code Nov 27, 2019

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#239: Bayesian foundations Nov 23, 2019

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#237: A gut feeling about Python Nov 06, 2019

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#236: Scaling data science across Python and R Oct 29, 2019

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#235: Python in your Browser with Skulpt Oct 23, 2019

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#234: Awesome Python Applications Oct 15, 2019

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#233: The Masonite Python Web Framework Oct 10, 2019

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#232: Become a robot developer with Python Oct 04, 2019

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#231: Advice for freelancing with Python Sep 25, 2019

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#230: Python in digital humanities research Sep 18, 2019

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#229: Building advanced Pythonic interviews with docassemble Sep 12, 2019

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#228: Hunting bugs and tech startups with Python Sep 04, 2019

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#227: Maintainable data science: Tips for non-developers Aug 28, 2019

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#226: Building Flask APIs for data scientists Aug 23, 2019

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#225: Can subinterpreters free us from Python's GIL? Aug 12, 2019

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#224: 12 lessons from 100 days of web Aug 05, 2019

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#223: Fun and Easy 2D Games with Python Jul 30, 2019

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#222: Interactive graphs with Bokeh and Python Jul 26, 2019

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#221: Empowering developers by embedding Python Jul 18, 2019

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#220: Machine Learning in the cloud with Azure ML Jul 12, 2019

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#219: Take a Python tour of duty at the United States Digital Service Jul 05, 2019

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#218: Serverless Python functions in Azure Jun 25, 2019

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#217: Notebooks vs data science-enabled scripts Jun 21, 2019

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#216: Digging into Visual Studio Code Jun 14, 2019

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#215: The software powering Talk Python courses and podcast Jun 06, 2019

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#214: Dive into CPython 3.8 and beyond May 31, 2019

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#213: WebAssembly and CPython May 25, 2019

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#212: Python in Web Assembly with Pyodide May 17, 2019

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#211: Classic CS problems in Python May 11, 2019

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#210: Making the most out of in-person training May 02, 2019

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#209: Inside Python's new governance model Apr 28, 2019

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#208: Packaging, Making the most of PyCon, and more Apr 21, 2019

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#207: Parallelizing computation with Dask Apr 14, 2019

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#206: Running Django in Production Apr 06, 2019

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#205: Beginners and Experts Panel Apr 02, 2019

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#204: StaticFrame, like Pandas but safer Mar 21, 2019

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#203: Beginners and Experts in Software Development Mar 13, 2019

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#202: Building a software business Mar 09, 2019

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#201: Choosing JupyterHub and Python over MATLAB Feb 27, 2019

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#200: Escaping Excel Hell with Python and Pandas Feb 21, 2019

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#199: Automate all the things with Python at Zapier Feb 14, 2019

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#198: Catching up with the Anaconda distribution Feb 09, 2019

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#197: Modern Python Standard Library Cookbook Feb 02, 2019

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#196: Datalore: Hosted smart notebooks Jan 23, 2019

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#195: Teaching Python at Apple Jan 20, 2019

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#194: Learning (and teaching) Python in a vacuum Jan 11, 2019

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#193: Data Science Year in Review 2018 Edition Dec 31, 2018

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#192: Python Year in Review 2018 Edition Dec 26, 2018

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#191: Python's journey at Microsoft Dec 18, 2018

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#190: Teaching Django Dec 11, 2018

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#189: War Stories of the Developer Evangelists Dec 07, 2018

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#188: Async for the Pythonic web with Sanic Dec 01, 2018

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#187: Secure all the things with HubbleStack Nov 20, 2018

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#186: 100 Days of Python in a Magical Universe Nov 16, 2018

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#185: Creating a Python 3 Culture at Facebook Nov 09, 2018

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#184: Teaching Python with BBC micro:bit Nov 02, 2018

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#183: Qt for Python Oct 24, 2018

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#182: Picture Python at Shutterfly Oct 17, 2018

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#181: 30 amazing Python projects Oct 12, 2018

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#180: What's new in Python 3.7 and beyond Oct 02, 2018

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#179: Python Language Summit 2018 Sep 26, 2018

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#178: Coverage.py Sep 21, 2018

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#177: Flask goes 1.0 Sep 15, 2018

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#176: The Python Community by the Numbers Sep 10, 2018

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#175: Teaching Python to network engineers Aug 31, 2018

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#174: Coming into Python from another Industry (part 2) Aug 16, 2018

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#173: Coming into Python from another Industry (part 1) Aug 07, 2018

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#172: Nuitka: A full Python compiler Aug 01, 2018

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#171: 1M Jupyter notebooks analyzed Jul 29, 2018

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#170: Guido van Rossum steps down Jul 20, 2018

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#169: Becoming a Python content creator Jul 13, 2018

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#168: 10 Python security holes and how to plug them Jul 06, 2018

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#167: Simplifying Python's Async with Trio Jun 29, 2018

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#166: Continuous delivery with Python Jun 14, 2018

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#165: Python and the blockchain Jun 08, 2018

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#164: Python in Brain Research at the Allen Institute Jun 01, 2018

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#163: Python in Geoscience May 25, 2018

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#162: Python in Building and Architecture May 21, 2018

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#161: Django 2.0 May 12, 2018

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#160: Lektor: Beautiful websites out of flat files May 04, 2018

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#159: Inside the new PyPI launch Apr 27, 2018

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#158: Quantum Computing and Python Apr 20, 2018

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#157: The Journal of Open Source Software Apr 06, 2018

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#156: Python History and Perspectives Mar 24, 2018

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#155: Practical steps for moving to Python 3 Mar 16, 2018

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#154: Python in Biology and Genomics Mar 07, 2018

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#153: How Python Evolves Mar 01, 2018

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#152: Understanding and using Python's AST Feb 23, 2018

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#151: Gradual Typing of Production Applications Feb 16, 2018

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#150: Technical Lessons Learned from Pythonic Refactoring Feb 08, 2018

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#149: 4 Python Web Frameworks, Compared Feb 02, 2018

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#148: Python Book Authors' Panel Discussion Jan 28, 2018

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#147: Quart: Flask, but 3x faster Jan 19, 2018

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#146: Building Alexa Skills with Python and Flask Jan 11, 2018

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#145: 2017 Python Year in Review Dec 31, 2017

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#144: Machine Learning at the Large Hadron Collider Dec 26, 2017

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#143: Tuning Python Web App Performance Dec 20, 2017

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#141: Python tricks Dec 07, 2017

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#140: Level up your Python with #100DaysOfCode challenge Nov 29, 2017

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#139: Paths into a data science career Nov 22, 2017

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#138: Anvil: All web, all Python Nov 15, 2017

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#137: Design concepts and tips for developers Nov 08, 2017

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#136: Secure code lessons from Have I Been Pwned Nov 02, 2017

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#135: Capturing human moments with AI and Python Oct 27, 2017

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#134: Python in Climate Science Oct 19, 2017

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#133: Productivity for developers Oct 11, 2017

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#132: Contributing to open source Oct 04, 2017

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#131: Top 10 machine learning libraries Sep 26, 2017

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#130: 10 books Python developers should be reading Sep 19, 2017

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#129: Falcon: The bare-metal Python web framework Sep 14, 2017

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#128: Pythonic Networks with NAPALM Sep 07, 2017

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#127: Shipping software to users Aug 31, 2017

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#126: Kubernetes for Pythonistas Aug 22, 2017

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#125: Django REST framework and a new API star is born Aug 15, 2017

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#124: Python for AI research Aug 07, 2017

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#123: Lessons from 100 straight dev job interviews Jul 31, 2017

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#122: Home Assistant: Pythonic Home Automation Jul 26, 2017

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#121: Microservices in Python Jul 19, 2017

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#120: Python in Finance Jul 12, 2017

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#119: Python in Engineering Jul 06, 2017

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#118: Serverless software Jun 27, 2017

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#117: Functional Python with Coconut Jun 21, 2017

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#116: 10 top talks of PyCon 2017 reviewed Jun 12, 2017

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#115: Python for Humans projects Jun 08, 2017

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#114: Empowering developers at the Hidden Genius project May 30, 2017

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#113: Dedicated AI chips and running old Python faster at Intel May 27, 2017

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#112: Geeking out in the golden years May 18, 2017

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#111: Pythonic Career Advice and More May 13, 2017

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#110: Data Democratization with Redash May 02, 2017

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#109: MongoDB Applied Design Patterns Apr 29, 2017

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#108: MicroPython and Open Source Hardware at Adafruit Apr 21, 2017

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#107: Python concurrency with Curio Apr 15, 2017

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#106: Invent your own computer games with Python Apr 07, 2017

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#105: A Pythonic Database Tour Mar 27, 2017

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#104: Game Theory in Python Mar 23, 2017

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#103: Compiling Python through PyLLVM and MongoDB for Data Scientists Mar 16, 2017

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#102: Effective Code Reviews Mar 08, 2017

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#101: Adding a full featured Python environment to Visual Studio Code Mar 03, 2017

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#100: Python past, present, and future with Guido van Rossum Feb 22, 2017

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#99: Morepath: Super Powered Python Web Framework Feb 15, 2017

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#98: Adding concurrency to Django with Django Channels Feb 08, 2017

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#97: Flask, Django style with Flask-Diamond Feb 02, 2017

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#96: Exploring Awesome Python Jan 25, 2017

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#95: Grumpy: Running Python on Go Jan 18, 2017

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#94: Guarenteed packages via Conda and Conda-Forge Jan 11, 2017

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#93: Spreading Python through the sciences with Software Carpentry Jan 03, 2017

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#92: Bonus: Python Bytes Crossover: Python 3.6 is going to be awesome, Kite: your friendly co-developing AI Dec 29, 2016

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#91: Top 10 Data Science Stories of 2016 Dec 27, 2016

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#90: Data Wrangling with Python Dec 21, 2016

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#89: A conversation with the Chief Data Scientist of the United States Dec 15, 2016

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#88: Lightweight Django Dec 06, 2016

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#87: PonyORM: The most Pythonic ORM yet? Nov 29, 2016

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#86: Python at StackOverflow Nov 24, 2016

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#85: Parsing horrible things with Python Nov 17, 2016

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#84: Are we failing to fund Python's core infrastructure? Nov 08, 2016

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#83: Python Videos on Demand at PyVideo Nov 02, 2016

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#82: Grokking Algorithms in Python Oct 27, 2016

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#81: Python and Machine Learning in Astronomy Oct 21, 2016

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#80: TinyDB: A tiny document db written in Python Oct 16, 2016

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#79: Beeware Python Tools Oct 07, 2016

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#78: How I built an entire game and toolchain 100% in Python Sep 28, 2016

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#77: 20 Python Libraries You Aren't Using (But Should) Sep 23, 2016

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#76: Renewable Python Sep 15, 2016

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#75: Pythonic games at CheckIO Sep 09, 2016

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#74: Past, Present, and Future of IronPython Sep 02, 2016

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#73: Machine learning at the new Microsoft Aug 26, 2016

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#72: Fashion-driven open source software at Zalando Aug 19, 2016

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#71: Soft Skills: The software developer's life manual Aug 11, 2016

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#70: Pythonic cover songs at Loudr Aug 05, 2016

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#69: Write an Excellent Programming Blog Jul 26, 2016

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#68: Crossing the streams with Podcast.__init__ Jul 20, 2016

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#67: Property-based Testing with Hypothesis Jul 13, 2016

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#66: Faster Python Programs: Measure, Don't Guess Jul 07, 2016

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#65: Jump on the real-time web with RethinkDB Jun 29, 2016

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#64: Inside the Python Package Index Jun 24, 2016

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#63: Validating Python tests with mutation testing Jun 16, 2016

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#62: San Diego Technology Immersion Group Learns Python Jun 07, 2016

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#61: Free software, free people May 30, 2016

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#60: Scaling Python to 1000's of cores with Ufora May 24, 2016

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#59: SageMath - Open source is ready to compete in the classroom May 18, 2016

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#58: Create better Python programs with concurrency, libraries, and patterns May 10, 2016

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#57: Python performance from the inside-out at Intel May 05, 2016

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#56: Data Science from Scratch Apr 27, 2016

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#55: How our engineering environments are killing diversity (and how we can fix it) Apr 21, 2016

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#54: Enterprise Software with Python Apr 14, 2016

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#53: Python in Visual Studio Apr 06, 2016

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#52: EVE Online: MMO game powered by Python Mar 27, 2016

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#51: SigOpt: Optimizing Everything with Python Mar 21, 2016

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#50: Web scraping at scale with Scrapy and ScrapingHub Mar 15, 2016

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#49: Microsoft's JIT-based Python Project: Pyjion Mar 08, 2016

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#48: Building Flask-based Web Apps Mar 01, 2016

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#47: Python in Typeface and Font Development Feb 23, 2016

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#46: Python in Movies and Entertainment Feb 16, 2016

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#45: The Python Testing Column, Now a Thing Feb 09, 2016

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#44: Project Jupyter and IPython Feb 02, 2016

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#43: Monitoring high performance Python apps at Opbeat Jan 26, 2016

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#42: Python in Startups and Investing Jan 19, 2016

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#41: Getting your first dev job as a Python developer (part 2) Jan 12, 2016

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#40: Top 10 Data Science Stories from 2015 Dec 29, 2015

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#39: Getting your first dev job as a Python developer (part 1) Dec 22, 2015

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#38: Continuous Integration and Delivery at Codeship Dec 15, 2015

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#37: Python Cybersecurity and Penetration Testing Dec 08, 2015

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#36: Python IDEs with the PyCharm team Dec 01, 2015

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#35: Turbogears and the future of Python web frameworks Nov 24, 2015

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#34: Continuum: Scientific Python and The Business of Open Source Nov 17, 2015

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#33: OpenStack: Cloud computing built on Python Nov 10, 2015

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#32: PyPy.js - PyPy Python in Your Browser Nov 03, 2015

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#31: Machine Learning with Python and scikit-learn Oct 27, 2015

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#30: Python Community and Python at Dropbox Oct 20, 2015

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#29: Python at the Large Hadron Collider and CERN Oct 13, 2015

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#28: Making Python Fast: Profiling Python Code Oct 06, 2015

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#27: Four Years of Python for High Schoolers Sep 29, 2015

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#26: Deploying Python Web Applications (Updated) Sep 22, 2015

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#25: Effective Python Sep 15, 2015

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#24: Fluent Python Sep 08, 2015

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#23: 3D Printing with Python at Authentise Sep 01, 2015

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#22: CPython Internals and Learning Python with pythontutor.com Aug 25, 2015

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#21: PyPy - The JIT Compiled Python Implementation Aug 18, 2015

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#20: Interactive Python and Teaching Python: Beyond Text Books Aug 11, 2015

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#19: Automate the Boring Stuff with Python Aug 04, 2015

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#18: Python Anti-patterns and other mistakes Jul 28, 2015

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#17: Python on bare metal with MicroPython Jul 21, 2015

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#16: Python at Netflix Jul 14, 2015

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#15: Python at Spotify, PSF, and PyLadies Jul 07, 2015

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#14: Moving from PHP to Python 3 with Patreon Jun 30, 2015

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#13: Flask web framework and much, much more Jun 23, 2015

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#12: Deep Dive into Modules and Packages Jun 16, 2015

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#11: PyImageSearch and Computer Vision Jun 09, 2015

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#10: Bringing Python to the Masses with Hosting and DevOps at PythonAnywhere Jun 02, 2015

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#9: Docker for the Python Developer May 26, 2015

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#8: Teaching Python at Grok Learning and Classrooms May 19, 2015

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#7: Robot Operating System (ROS) and ROSPy May 12, 2015

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#6: Requests, PyCon, and Python's future May 05, 2015

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#5: SQLAlchemy and data access in Python Apr 28, 2015

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#4: Enterprise Python and Large-Scale Projects Apr 23, 2015

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#3: Pyramid Web Framework Apr 16, 2015

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#2: Python and MongoDB Apr 07, 2015

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#1: EVE - RESTful APIs for humans Mar 31, 2015

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#0: Introducing the show! Mar 21, 2015

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