Talk Python To Me
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.
Episodes
#487: Building Rust Extensions for Python
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
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01/12/24•1h 2m
#486: CSnakes: Embed Python code in .NET
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
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22/11/24•1h 2m
#485: Secure coding for Python with SheHacksPurple
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
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15/11/24•1h 9m
#484: From React to a Django+HTMX based stack
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
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05/11/24•57m 44s
#483: Reflex Framework: Frontend, Backend, Pure Python
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
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29/10/24•1h 3m
#482: Pre-commit Hooks for Python Devs
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
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24/10/24•1h 10m
#481: Python Opinions and Zeitgeist with Hynek
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
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17/10/24•1h 3m
#480: Ahoy, Narwhals are bridging the data science APIs
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
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09/10/24•59m 15s
#479: Designing Effective Load Tests for Your Python App
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
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06/10/24•59m 6s
#478: When and how to start coding with kids
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
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25/09/24•54m 25s
#477: Awesome Text Tricks with NLP and spaCy
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
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20/09/24•1h 3m
#476: Unified Python packaging with uv
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
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04/09/24•1h 12m
#475: Python Language Summit 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
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24/08/24•1h 1m
#474: Python Performance for Data Science
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
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19/08/24•1h 8m
#473: Being a developer with ADHD
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
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02/08/24•1h
#472: State of Flask and Pallets in 2024
Flask is one of the most important Python web frameworks and powers a bunch of the internet. David Lord, Flask's lead maintainer is here to give us an update on the state of Flask and Pallets in 2024. If you care about where Flask is and where it's going, you'll definitely want to listen in.
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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26/07/24•1h 1m
#471: Learning and teaching Pandas
If you want to get better at something, often times the path is pretty clear. If you get better at swimming, you go to the pool and practice your strokes and put in time doing the laps. If you want to get better at mountain biking, hit the trails and work on drills focusing on different aspects of riding. You can do the same for programming. Reuven Lerner is back on the podcast to talk about his book Pandas Workout. We dive into strategies for learning Pandas and Python as well as some of his workout exercises.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Scalable Path
Talk Python Courses
Links from the show
Reuven Lerner on Twitter: @reuvenmlerner
Pandas Workout Book: manning.com
Bamboo Weekly: Solar eclipse: bambooweekly.com
Bamboo Weekly: Avocado hand: bambooweekly.com
Scaling data science across Python and R: talkpython.fm
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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22/07/24•1h 4m
#470: Python in Medicine and Patient Care
Python is special. It's used by the big tech companies but also by those you would rarely classify as developers. On this episode, we get a look inside how Python is being used at a Children's Hospital to speed and improve patient care. We have Dr. Somak Roy here to share how he's using Python in his day to day job to help kids get well a little bit faster.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Posit
Talk Python Courses
Links from the show
Somak Roy: linkedin.com
Cincinnati Children's Hospital: cincinnatichildrens.org
CNVkit: Genome-wide copy number: readthedocs.io
cnaplotr: github.com
hgvs: readthedocs.io
openpyxl: readthedocs.io
Hera is an Argo Python SDK: github.com
insiM: in silico Mutator software for bioinformatics: github.com
Bamsurgeon: github.com
pysam - An interface for reading and writing SAM files: readthedocs.io
Scientists rename human genes to stop Microsoft Excel from misreading them as dates: theverge.com
BioPython: biopython.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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12/07/24•1h 19m
#469: PuePy: Reactive frontend framework in Python
Python is one of the most popular languages of the current era. It dominates data science, it an incredible choice for web development, and its many people's first language. But it's not super great on front-end programing, is it? Frameworks like React, Vue and other JavaScript frameworks rule the browser and few other languages even get a chance to play there. But with pyscript, which I've covered several times on this show, we have the possibility of Python on the front end. Yet it's not really a front end framework, just a runtime in the browser. That's why I'm excited to have Ken Kinder on the podcast to talk about his project PuePy, a reactive frontend framework in Python.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Code Comments
Talk Python Courses
Links from the show
Michael's Code in a Castle Course: talkpython.fm/castle
Ken Kinder: @bouncing@twit.social
PuePy: puepy.dev
PuePy Docs: docs.puepy.dev
PuePy on Github: github.com
pyscript: pyscript.net
VueJS: vuejs.org
Hello World example: docs.puepy.dev
Tutorial: docs.puepy.dev
Tutorial running at pyscript.com: pyscript.com
Micropython: micropython.org
Pyodide: pyodide.org
PgQueuer: github.com
Writerside: jetbrains.com
Michael's PWA pyscript app: github.com
Michael's demo of a PWA pyscript app: youtube.com
Python iOS Web App with pyscript and offline PWAs video: youtube.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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08/07/24•58m 46s
#468: Python Trends Episode 2024
I've gathered a group of Python experts who have been thinking deeply about where Python is going and who have lived through where it has been. This episode is all about near-term Python trends and things we each believe will be important to focus on as Python continues to grow. Our panelists are Jodie Burchell, Carol Willing, and Paul Everett.
Episode sponsors
Code Comments
Posit
Talk Python Courses
Links from the show
Shiny course at Talk Python: talkpython.fm/shiny
Jodie Burchell: @t_redactyl
Carol on Mastodon: @willingc@hachyderm.io
Paul Everitt: @paulweveritt
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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01/07/24•1h 5m
#467: Data Science Panel at PyCon 2024
I have a special episode for you this time around. We're coming to you live from PyCon 2024. I had the chance to sit down with some amazing people from the data science side of things: Jodie Burchell, Maria Jose Molina-Contreras, and Jessica Greene. We cover a whole set of recent topics from a data science perspective. Though we did have to cut the conversation a bit short as they were coming from and go to talks they were all giving but it was still a pretty deep conversation.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Code Comments
Talk Python Courses
Links from the show
Jodie Burchell: @t_redactyl
Jessica Greene: linkedin.com
Maria Jose Molina-Contreras: linkedin.com
Talk Python's free Shiny course: talkpython.fm/shiny
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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20/06/24•34m 40s
#466: Pydantic Performance Tips
See the full show notes for this episode on the website at talkpython.fm/466
14/06/24•1h
#465: The AI Revolution Won't Be Monopolized
See the full show notes for this episode on the website at talkpython.fm/465
08/06/24•1h 8m
#464: Seeing code flows and generating tests with Kolo
See the full show notes for this episode on the website at talkpython.fm/464
29/05/24•54m 59s
#463: Running on Rust: Granian Web Server
See the full show notes for this episode on the website at talkpython.fm/463
25/05/24•1h 4m
#462: Pandas and Beyond with Wes McKinney
See the full show notes for this episode on the website at talkpython.fm/462
15/05/24•59m 51s
#461: Python in Neuroscience and Academic Labs
See the full show notes for this episode on the website at talkpython.fm/461
09/05/24•1h 3m
#460: Dropbase: Build Internal Tools with Python
See the full show notes for this episode on the website at talkpython.fm/460
02/05/24•52m 29s
#459: I Built A Python SaaS with AI
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27/04/24•55m 6s
#458: Serverless Python in 2024
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24/04/24•1h
#457: Software Supply Chain Security with Phylum
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19/04/24•1h 8m
#456: Building GPT Actions with FastAPI and Pydantic
See the full show notes for this episode on the website at talkpython.fm/456
16/04/24•1h 5m
#455: Land Your First Data Job
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04/04/24•59m 33s
#454: Data Pipelines with Dagster
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21/03/24•58m 25s
#453: uv - The Next Evolution in Python Packages?
See the full show notes for this episode on the website at talkpython.fm/453
13/03/24•1h 14m
#452: Top Quart (async Flask) Extensions
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10/03/24•55m 42s
#451: Djangonauts, Ready for Blast-Off
See the full show notes for this episode on the website at talkpython.fm/451
01/03/24•58m 33s
#450: Versioning Web APIs in Python
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22/02/24•1h 2m
#449: Building UIs in Python with FastUI
See the full show notes for this episode on the website at talkpython.fm/449
13/02/24•1h 6m
#448: Full-Time Open Source Devs Panel
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08/02/24•58m 46s
#447: Parallel Python Apps with Sub Interpreters
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03/02/24•1h 11m
#446: Python in Excel
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26/01/24•48m 9s
#445: Inside Azure Data Centers with Mark Russinovich
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19/01/24•42m 25s
#444: The Young Coder's Blueprint to Success
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02/01/24•54m 59s
#443: Python Bytes Crossover 2023
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29/12/23•35m 15s
#442: Ultra High Speed Message Parsing with msgspec
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14/12/23•1h
#441: Python = Syntactic Sugar?
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06/12/23•1h 7m
#440: Talking to Notebooks with Jupyter AI
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30/11/23•58m 52s
#439: Pixi, A Fast Package Manager
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22/11/23•59m 4s
#438: Celebrating JupyterLab 4 and Jupyter 7 Releases
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16/11/23•1h 4m
#437: HTMX for Django Developers (And All of Us)
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07/11/23•1h 4m
#436: An Unbiased Evaluation of Environment and Packaging Tools
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01/11/23•58m 32s
#435: PyPI Security
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25/10/23•1h 3m
#434: Building Mobile Apps Backed with Python
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19/10/23•58m 49s
#433: Litestar: Effortlessly Build Performant APIs
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15/10/23•1h 4m
#432: Migrating to Pydantic 2.0: Beanie for MongoDB
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06/10/23•53m 54s
#431: Visualizing CPython Release Process
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29/09/23•1h 2m
#430: Delightful Machine Learning Apps with Gradio
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19/09/23•59m 43s
#429: Taming Flaky Tests
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11/09/23•1h 9m
#428: Django Trends in 2023
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29/08/23•1h 9m
#427: 10 Tips and Ideas for the Beginner to Expert Python Journey
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19/08/23•1h 6m
#426: What's New in PyScript [August 2023]
See the full show notes for this episode on the website at talkpython.fm/426
09/08/23•1h 5m
#425: Memray: The endgame Python memory profiler
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04/08/23•1h 10m
#424: Shiny for Python
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27/07/23•1h 4m
#423: Solving 10 different simulation problems with Python
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24/07/23•1h 6m
#422: How data scientists use Python
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07/07/23•1h 2m
#421: Python at Netflix
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02/07/23•1h 4m
#420: Database Consistency & Isolation for Python Devs
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26/06/23•56m 2s
#419: Debugging Python in Production with PyStack
See the full show notes for this episode on the website at talkpython.fm/419
14/06/23•1h 12m
#418: How To Keep A Secret in Python Apps
See the full show notes for this episode on the website at talkpython.fm/418
02/06/23•1h 7m
#417: Test-Driven Prompt Engineering for LLMs with Promptimize
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30/05/23•1h 13m
#416: Open Source Sports Analytics with PySport
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22/05/23•57m 29s
#415: Future of Pydantic and FastAPI
See the full show notes for this episode on the website at talkpython.fm/415
15/05/23•50m 5s
#414: A Stroll Down Startup Lane
See the full show notes for this episode on the website at talkpython.fm/414
07/05/23•52m 47s
#413: Live from PyCon 2023
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26/04/23•47m 20s
#412: PEP 711 - Distributing Python Binaries
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19/04/23•1h 18m
#411: Things I Wish Someone Had Explained To Me Sooner About Python
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14/04/23•1h 3m
#410: The Intersection of Tabular Data and Generative AI
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06/04/23•1h 5m
#409: Privacy as Code with Fides
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01/04/23•1h 8m
#408: Hatch: A Modern Python Workflow
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24/03/23•1h 2m
#407: pytest tips and tricks for better testing
See the full show notes for this episode on the website at talkpython.fm/407
18/03/23•56m 22s
#406: Reimagining Python's Packaging Workflows
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12/03/23•1h 6m
#405: Testing in Radio Astronomy with Python and pytest
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03/03/23•59m 21s
#404: Clean Code in Python
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20/02/23•1h 4m
#403: Fusion Ignition Breakthrough and Python
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13/02/23•1h 4m
#402: Polars: A Lightning-fast DataFrame for Python [updated audio]
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08/02/23•58m 48s
#401: Migrating 3.8 Million Lines of Python
See the full show notes for this episode on the website at talkpython.fm/401
02/02/23•1h
#400: Ruff - The Fast, Rust-based Python Linter
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25/01/23•1h 3m
#399: Monorepos in Python
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18/01/23•1h 10m
#398: Imaging Black Holes with Python
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14/01/23•58m 13s
#397: Evaluating New Open Source Tech Panel
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05/01/23•1h 3m
#396: AI Goes on Trial For Writing Code (crossover)
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30/12/22•37m 32s
#395: Tools for README.md Creation and Maintenance
See the full show notes for this episode on the website at talkpython.fm/395
22/12/22•1h 13m
#394: Awesome Jupyter Libraries and Extensions in 2022
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15/12/22•1h 2m
#393: Space Science with Python
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08/12/22•1h 3m
#392: Data Science from the Command Line
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02/12/22•1h 11m
#391: Pyscript powered by MicroPython
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29/11/22•1h 11m
#390: Mastodon for Python Devs
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15/11/22•1h 8m
#389: 18 awesome asyncio packages in Python
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09/11/22•57m 28s
#388: Python 3.11 is here and it's fast
See the full show notes for this episode on the website at talkpython.fm/388
02/11/22•1h 6m
#387: Build All the Things with Pants Build System
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27/10/22•1h 7m
#386: Realtime Web Apps and Dashboards with H2O Wave
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19/10/22•1h 5m
#385: Higher level Python asyncio with AnyIO
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15/10/22•59m 55s
#384: Python Data Visualization - Where To Start?
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04/10/22•1h 13m
#383: Textinator and Building macOS Apps with Python
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28/09/22•1h 6m
#382: Apache Superset: Modern Data Exploration Platform
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22/09/22•1h 8m
#381: Python Perf: Specializing, Adaptive Interpreter
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16/09/22•1h 8m
#380: 7 lessons from building a modern TUI framework
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05/09/22•1h 7m
#379: 17 Libraries You Should Be Using in Django
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26/08/22•1h 20m
#378: Flet: Flutter apps in Python
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21/08/22•1h
#377: Python Packaging and PyPI in 2022
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13/08/22•1h 8m
#376: Pydantic v2 - The Plan
See the full show notes for this episode on the website at talkpython.fm/376
04/08/22•1h 18m
#375: Python Language Summit 2022
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30/07/22•58m 31s
#374: PSF Survey in Review
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20/07/22•1h 2m
#373: Reinventing Azure's Python CLI
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12/07/22•1h 6m
#372: Applied mathematics with Python
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08/07/22•1h 15m
#371: pipx - Installable, Isolated Python Applications
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30/06/22•58m 43s
#370: OpenBB: Python's Open-source Investment Platform
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22/06/22•54m 28s
#369: Getting Lazy with Python Imports and PEP 690
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16/06/22•56m 26s
#368: End-to-End Web Testing with Playwright
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03/06/22•1h 13m
#367: Say Hello to PyScript (WebAssembly Python)
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25/05/22•1h 13m
#366: Optimizing PostgreSQL DB Queries with pgMustard
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20/05/22•1h 14m
#365: Solving Negative Engineering Problems with Prefect
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12/05/22•1h 4m
#364: Symbolic Math with Python using SymPy
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07/05/22•1h 7m
#363: Python for .NET and C# developers
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28/04/22•1h 6m
#362: Hypermodern Python Projects
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20/04/22•1h 6m
#361: Pangeo Data Ecosystem
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16/04/22•54m 16s
#360: Removing Python's Dead Batteries (in just 5 years)
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08/04/22•1h 20m
#359: Lifecycle of a machine learning project
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03/04/22•1h 7m
#358: Understanding Pandas visually with PandasTutor
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25/03/22•46m 48s
#357: Python and the James Webb Space Telescope
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21/03/22•1h 2m
#356: Tips for ML / AI startups
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14/03/22•1h 6m
#355: EdgeDB - Building a database in Python
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06/03/22•1h 18m
#354: Sphinx, MyST, and Python Docs in 2022
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24/02/22•1h 11m
#353: SQLModel: The New ORM for FastAPI and Beyond
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18/02/22•1h 18m
#352: Running Python in Production
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08/02/22•1h
#351: Machine Learning Ethics and Laws Panel
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03/02/22•1h 10m
#350: Python Steering Council 2021 Retrospective
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26/01/22•1h 10m
#349: Meet Beanie: A MongoDB ODM + Pydantic
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22/01/22•1h 20m
#348: Dear PyGui: Simple yet Fast Python GUI Apps
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17/01/22•1h 1m
#347: Cinder - Specialized Python that Flies
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08/01/22•1h 11m
#346: 20 Recommended Packages in Review
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21/12/21•1h 13m
#345: 10 Tips and Tools for Developer Productivity
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15/12/21•1h 16m
#344: SQLAlchemy 2.0
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09/12/21•1h 6m
#343: Do Excel things, get notebook Python code with Mito
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30/11/21•1h 6m
#342: Python in Architecture (as in actual buildings)
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23/11/21•1h 1m
#341: 25 Pandas Functions You Didn’t Know Existed
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17/11/21•59m 16s
#340: Time to JIT your Python with Pyjion?
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10/11/21•1h 13m
#339: Making Python Faster with Guido and Mark
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04/11/21•1h 1m
#338: Using cibuildwheel to manage the scikit-HEP packages
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17/10/21•1h 17m
#337: Kedro for Maintainable Data Science
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09/10/21•1h 3m
#336: Terminal magic with Rich and Textual
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05/10/21•59m 12s
#335: Gene Editing with Python
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24/09/21•58m 20s
#334: Microsoft Planetary Computer
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18/09/21•59m 46s
#333: State of Data Science in 2021
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10/09/21•1h 3m
#332: Robust Python
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31/08/21•1h 11m
#331: Meet the Python Developer in Residence: Lukasz Langa
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27/08/21•1h 6m
#330: Apache Airflow Open-Source Workflow with Python
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20/08/21•1h 7m
#329: Geekout: Renewable Energy
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13/08/21•48m 18s
#328: Piccolo: A fast, async ORM for Python (updated)
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08/08/21•58m 51s
#327: Little Automation Tools in Python
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30/07/21•1h 5m
#326: Building Desktop Apps with wxPython
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23/07/21•53m 32s
#325: MicroPython + CircuitPython
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15/07/21•1h 8m
#324: Gatorade-powered Python APIs
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09/07/21•1h 12m
#323: Best practices for Docker in production
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03/07/21•1h 10m
#322: A path into data science
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25/06/21•59m 56s
#321: HTMX - Clean, Dynamic HTML Pages
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19/06/21•1h 12m
#320: Python in the Electrical Energy Sector
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12/06/21•1h 8m
#319: Typosquatting and Supply Chains Vulnerabilities
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06/06/21•59m 43s
#318: Measuring your ML impact with CodeCarbon
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28/05/21•1h 7m
#317: Python at the US Federal Election Commission
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21/05/21•52m 39s
#316: Flask 2.0
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14/05/21•57m 38s
#315: Awesome FastAPI extensions and add ons
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07/05/21•1h 7m
#314: Ask us about modern Python projects and tools
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30/04/21•1h 4m
#313: Automate your data exchange with PyDantic
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22/04/21•1h
#312: Python Apps that Scale to Billions of Users
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18/04/21•1h 17m
#311: Get inside the .git folder
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08/04/21•1h 12m
#310: AMA (Ask Me Anything) with Michael
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02/04/21•1h 2m
#309: What ML Can Teach Us About Life: 7 Lessons
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26/03/21•55m 44s
#308: Docker for Python Developers (2021 Edition)
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20/03/21•1h 8m
#307: Python from 1994 to 2021, my how you've grown!
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11/03/21•1h 11m
#306: Scaling Python and Jupyter with ZeroMQ
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05/03/21•1h 5m
#305: Python community at Python Discord
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01/03/21•1h 1m
#304: asyncio all the things with Omnilib
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21/02/21•1h
#303: Python for Astronomy with Dr. Becky
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12/02/21•1h 3m
#302: The Data Engineering Landscape in 2021
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04/02/21•1h 4m
#301: Deploying and running Django web apps in 2021
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28/01/21•1h 8m
#300: Building a data science startup (panel)
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22/01/21•1h 6m
#299: Personal search engine with datasette and dogsheep
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17/01/21•1h 1m
#298: Building ML teams and finding ML jobs
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11/01/21•56m 10s
#297: Python year in review (2020 edition)
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28/12/20•1h 10m
#296: Python in F1 racing
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23/12/20•1h 5m
#295: GIS + Python
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18/12/20•57m 0s
#294: oso authorizes Python
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07/12/20•51m 27s
#293: Learning how to learn as a developer
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01/12/20•1h
#292: Pythonic identity (auth in Python ecosystem)
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26/11/20•1h 5m
#291: Operational Resilience with Pyomo
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22/11/20•59m 36s
#290: Side Hustles for Data Scientists
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13/11/20•1h 8m
#289: Discovering exoplanets with Python
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09/11/20•47m 26s
#288: 10 tips to move from Excel to Python
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31/10/20•1h 3m
#287: Testing without dependencies, mocking in Python
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21/10/20•1h 3m
#286: Python and ML at NASA Jet Propulsion Laboratory (JPL)
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16/10/20•1h 7m
#285: Dask as a Platform Service with Coiled
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09/10/20•1h 11m
#284: Modern and fast APIs with FastAPI
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04/10/20•1h 6m
#283: Web scraping, the 2020 edition
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23/09/20•48m 34s
#282: pre-commit framework
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17/09/20•59m 33s
#281: Python in Car Racing
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09/09/20•1h
#280: Python and AI in Journalism
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05/09/20•55m 51s
#279: Modern Python Developer's Toolkit
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29/08/20•1h 1m
#278: Teach kids Python with real programming and fun games at Code Combat
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21/08/20•1h 5m
#277: 10 tips every Django developer should know
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10/08/20•1h 11m
#276: Geekout: Life in the solar system and beyond
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06/08/20•1h 14m
#275: Beautiful Pythonic Refactorings
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01/08/20•55m 4s
#274: Profiling data science code with FIL
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24/07/20•58m 12s
#273: CoCalc: A fully colloborative notebook development environment
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18/07/20•55m 6s
#272: No IoT things in hand? Simulate them with Device Simulator Express
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12/07/20•51m 47s
#271: Unlock the mysteries of time, Python's datetime that is!
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04/07/20•1h 4m
#270: Python in supply chains: oil rigs, rockets, and lettuce
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25/06/20•59m 20s
#269: HoloViz - a suite of tools for Python visualization
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19/06/20•55m 57s
#268: Analyzing dozens of notebook environments
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13/06/20•54m 24s
#267: 15 amazing pytest plugins
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06/06/20•53m 34s
#266: Refactoring your code, like magic with Sourcery
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29/05/20•57m 5s
#265: Why is Python slow?
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19/05/20•1h 3m
#264: 10 tips every Flask developer should know
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12/05/20•1h 8m
#263: SEO for developers
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06/05/20•1h 2m
#262: Build a career in data science
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01/05/20•1h 11m
#261: Monitoring and auditing machine learning
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25/04/20•1h
#260: From basic script to interactive data sci app with Streamlit
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18/04/20•59m 25s
#259: From Academia to Tech Industry and Python
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09/04/20•1h
#258: Thriving in a remote developer environment
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04/04/20•1h 7m
#257: Exploring the galaxy with the fastest supercomputer, Python, and radio astronomy
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28/03/20•52m 23s
#256: Click to run your notebook with Binder
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20/03/20•57m 26s
#255: Talking to cars with Python
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14/03/20•51m 51s
#254: A Python mentorship story
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06/03/20•1h 7m
#253: Moon base geekout
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25/02/20•1h 22m
#252: What scientific computing can learn from CS
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21/02/20•1h 10m
#251: Building and UX Testing Azure's Python SDK
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13/02/20•52m 44s
#250: Capture over 400x C02 as trees with AI and Python
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08/02/20•1h 3m
#249: Capture the Staff of Pythonic Knowledge in TwilioQuest
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30/01/20•59m 1s
#248: Climate change and your Python code
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24/01/20•1h 16m
#247: Solo maintainer of open-source in academia
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16/01/20•1h 5m
#246: Practices of the Python Pro
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09/01/20•1h 4m
#245: Python packaging landscape in 2020
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03/01/20•1h 1m
#244: Top 10 Real Python Articles of 2019
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27/12/19•59m 49s
#243: Python on Windows is OK, actually
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17/12/19•57m 38s
#242: Your education will be live-streamed
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11/12/19•54m 23s
#241: Opal: Full stack health care apps
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07/12/19•53m 23s
#240: A guided tour of the CPython source code
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27/11/19•1h
#239: Bayesian foundations
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23/11/19•57m 18s
#237: A gut feeling about Python
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06/11/19•49m 40s
#236: Scaling data science across Python and R
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29/10/19•1h
#235: Python in your Browser with Skulpt
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23/10/19•1h
#234: Awesome Python Applications
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15/10/19•1h 4m
#233: The Masonite Python Web Framework
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10/10/19•1h 8m
#232: Become a robot developer with Python
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04/10/19•1h 1m
#231: Advice for freelancing with Python
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25/09/19•1h 9m
#230: Python in digital humanities research
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18/09/19•57m 42s
#229: Building advanced Pythonic interviews with docassemble
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12/09/19•1h
#228: Hunting bugs and tech startups with Python
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04/09/19•59m 41s
#227: Maintainable data science: Tips for non-developers
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28/08/19•1h 10m
#226: Building Flask APIs for data scientists
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23/08/19•1h 9m
#225: Can subinterpreters free us from Python's GIL?
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12/08/19•1h 10m
#224: 12 lessons from 100 days of web
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05/08/19•1h 8m
#223: Fun and Easy 2D Games with Python
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30/07/19•1h 3m
#222: Interactive graphs with Bokeh and Python
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26/07/19•59m 19s
#221: Empowering developers by embedding Python
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18/07/19•1h 7m
#220: Machine Learning in the cloud with Azure ML
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12/07/19•54m 44s
#219: Take a Python tour of duty at the United States Digital Service
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05/07/19•1h 1m
#218: Serverless Python functions in Azure
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25/06/19•47m 57s
#217: Notebooks vs data science-enabled scripts
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21/06/19•54m 25s
#216: Digging into Visual Studio Code
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14/06/19•53m 5s
#215: The software powering Talk Python courses and podcast
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06/06/19•1h 7m
#214: Dive into CPython 3.8 and beyond
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31/05/19•1h
#213: WebAssembly and CPython
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25/05/19•49m 8s
#212: Python in Web Assembly with Pyodide
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17/05/19•57m 21s
#211: Classic CS problems in Python
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11/05/19•1h 8m
#210: Making the most out of in-person training
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02/05/19•1h 7m
#209: Inside Python's new governance model
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28/04/19•1h 7m
#208: Packaging, Making the most of PyCon, and more
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21/04/19•1h 10m
#207: Parallelizing computation with Dask
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14/04/19•57m 53s
#206: Running Django in Production
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06/04/19•51m 25s
#205: Beginners and Experts Panel
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02/04/19•57m 53s
#204: StaticFrame, like Pandas but safer
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21/03/19•1h 1m
#203: Beginners and Experts in Software Development
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13/03/19•57m 35s
#202: Building a software business
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09/03/19•59m 1s
#201: Choosing JupyterHub and Python over MATLAB
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27/02/19•1h 3m
#200: Escaping Excel Hell with Python and Pandas
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21/02/19•1h 6m
#199: Automate all the things with Python at Zapier
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14/02/19•1h 5m
#198: Catching up with the Anaconda distribution
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09/02/19•1h 5m
#197: Modern Python Standard Library Cookbook
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02/02/19•1h 1m
#196: Datalore: Hosted smart notebooks
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23/01/19•49m 50s
#195: Teaching Python at Apple
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20/01/19•1h
#194: Learning (and teaching) Python in a vacuum
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11/01/19•1h 6m
#193: Data Science Year in Review 2018 Edition
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31/12/18•1h 20m
#192: Python Year in Review 2018 Edition
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26/12/18•59m 3s
#191: Python's journey at Microsoft
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18/12/18•1h 12m
#190: Teaching Django
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11/12/18•1h 1m
#189: War Stories of the Developer Evangelists
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07/12/18•59m 11s
#188: Async for the Pythonic web with Sanic
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01/12/18•56m 22s
#187: Secure all the things with HubbleStack
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20/11/18•59m 53s
#186: 100 Days of Python in a Magical Universe
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16/11/18•1h 2m
#185: Creating a Python 3 Culture at Facebook
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09/11/18•1h 7m
#184: Teaching Python with BBC micro:bit
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02/11/18•1h 7m
#183: Qt for Python
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24/10/18•58m 3s
#182: Picture Python at Shutterfly
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17/10/18•58m 15s
#181: 30 amazing Python projects
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12/10/18•52m 10s
#180: What's new in Python 3.7 and beyond
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02/10/18•57m 26s
#179: Python Language Summit 2018
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26/09/18•50m 36s
#178: Coverage.py
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21/09/18•1h 3m
#177: Flask goes 1.0
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15/09/18•1h 2m
#176: The Python Community by the Numbers
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10/09/18•53m 29s
#175: Teaching Python to network engineers
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31/08/18•55m 27s
#174: Coming into Python from another Industry (part 2)
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16/08/18•51m 6s
#173: Coming into Python from another Industry (part 1)
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07/08/18•57m 25s
#172: Nuitka: A full Python compiler
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01/08/18•1h 6m
#171: 1M Jupyter notebooks analyzed
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29/07/18•58m 32s
#170: Guido van Rossum steps down
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20/07/18•37m 55s
#169: Becoming a Python content creator
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13/07/18•1h 6m
#168: 10 Python security holes and how to plug them
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06/07/18•1h
#167: Simplifying Python's Async with Trio
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29/06/18•55m 41s
#166: Continuous delivery with Python
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14/06/18•1h 9m
#165: Python and the blockchain
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08/06/18•1h 5m
#164: Python in Brain Research at the Allen Institute
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01/06/18•57m 54s
#163: Python in Geoscience
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25/05/18•52m 17s
#162: Python in Building and Architecture
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21/05/18•54m 35s
#161: Django 2.0
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12/05/18•1h 7m
#160: Lektor: Beautiful websites out of flat files
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04/05/18•55m 41s
#159: Inside the new PyPI launch
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27/04/18•1h
#158: Quantum Computing and Python
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20/04/18•47m 54s
#157: The Journal of Open Source Software
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06/04/18•1h 4m
#156: Python History and Perspectives
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24/03/18•59m 7s
#155: Practical steps for moving to Python 3
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16/03/18•1h 3m
#154: Python in Biology and Genomics
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07/03/18•58m 16s
#153: How Python Evolves
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01/03/18•1h 22m
#152: Understanding and using Python's AST
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23/02/18•51m 55s
#151: Gradual Typing of Production Applications
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16/02/18•1h 9m
#150: Technical Lessons Learned from Pythonic Refactoring
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08/02/18•59m 57s
#149: 4 Python Web Frameworks, Compared
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02/02/18•57m 25s
#148: Python Book Authors' Panel Discussion
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28/01/18•1h 2m
#147: Quart: Flask, but 3x faster
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19/01/18•51m 2s
#146: Building Alexa Skills with Python and Flask
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11/01/18•1h 1m
#145: 2017 Python Year in Review
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31/12/17•59m 23s
#144: Machine Learning at the Large Hadron Collider
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26/12/17•58m 22s
#143: Tuning Python Web App Performance
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20/12/17•1h 3m
#141: Python tricks
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07/12/17•1h 11m
#140: Level up your Python with #100DaysOfCode challenge
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29/11/17•58m 18s
#139: Paths into a data science career
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22/11/17•1h 2m
#138: Anvil: All web, all Python
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15/11/17•1h
#137: Design concepts and tips for developers
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08/11/17•58m 3s
#136: Secure code lessons from Have I Been Pwned
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02/11/17•1h
#135: Capturing human moments with AI and Python
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27/10/17•54m 9s
#134: Python in Climate Science
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19/10/17•52m 50s
#133: Productivity for developers
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11/10/17•1h 4m
#132: Contributing to open source
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04/10/17•1h 4m
#131: Top 10 machine learning libraries
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26/09/17•54m 8s
#130: 10 books Python developers should be reading
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19/09/17•52m 28s
#129: Falcon: The bare-metal Python web framework
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14/09/17•59m 53s
#128: Pythonic Networks with NAPALM
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07/09/17•56m 22s
#127: Shipping software to users
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31/08/17•1h 15m
#126: Kubernetes for Pythonistas
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22/08/17•59m 39s
#125: Django REST framework and a new API star is born
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15/08/17•1h 7m
#124: Python for AI research
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07/08/17•55m 20s
#123: Lessons from 100 straight dev job interviews
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31/07/17•46m 23s
#122: Home Assistant: Pythonic Home Automation
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26/07/17•58m 8s
#121: Microservices in Python
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19/07/17•1h 5m
#120: Python in Finance
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12/07/17•1h 7m
#119: Python in Engineering
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06/07/17•52m 23s
#118: Serverless software
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27/06/17•54m 50s
#117: Functional Python with Coconut
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21/06/17•1h 3m
#116: 10 top talks of PyCon 2017 reviewed
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12/06/17•1h
#115: Python for Humans projects
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08/06/17•53m 45s
#114: Empowering developers at the Hidden Genius project
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30/05/17•38m 2s
#113: Dedicated AI chips and running old Python faster at Intel
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27/05/17•53m 2s
#112: Geeking out in the golden years
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18/05/17•1h 7m
#111: Pythonic Career Advice and More
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13/05/17•57m 35s
#110: Data Democratization with Redash
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02/05/17•56m 2s
#109: MongoDB Applied Design Patterns
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29/04/17•1h
#108: MicroPython and Open Source Hardware at Adafruit
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21/04/17•1h 4m
#107: Python concurrency with Curio
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15/04/17•1h 1m
#106: Invent your own computer games with Python
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07/04/17•58m 12s
#105: A Pythonic Database Tour
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27/03/17•57m 56s
#104: Game Theory in Python
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23/03/17•57m 50s
#103: Compiling Python through PyLLVM and MongoDB for Data Scientists
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16/03/17•52m 36s
#102: Effective Code Reviews
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08/03/17•50m 52s
#101: Adding a full featured Python environment to Visual Studio Code
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03/03/17•55m 11s
#100: Python past, present, and future with Guido van Rossum
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22/02/17•1h 2m
#99: Morepath: Super Powered Python Web Framework
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15/02/17•1h 4m
#98: Adding concurrency to Django with Django Channels
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08/02/17•1h 5m
#97: Flask, Django style with Flask-Diamond
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02/02/17•1h 5m
#96: Exploring Awesome Python
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25/01/17•52m 20s
#95: Grumpy: Running Python on Go
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18/01/17•52m 9s
#94: Guarenteed packages via Conda and Conda-Forge
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11/01/17•46m 31s
#93: Spreading Python through the sciences with Software Carpentry
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03/01/17•1h 1m
#92: Bonus: Python Bytes Crossover: Python 3.6 is going to be awesome, Kite: your friendly co-developing AI
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29/12/16•21m 0s
#91: Top 10 Data Science Stories of 2016
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27/12/16•1h 7m
#90: Data Wrangling with Python
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21/12/16•1h 1m
#89: A conversation with the Chief Data Scientist of the United States
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15/12/16•52m 39s
#88: Lightweight Django
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06/12/16•59m 58s
#87: PonyORM: The most Pythonic ORM yet?
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29/11/16•56m 29s
#86: Python at StackOverflow
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24/11/16•1h 10m