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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.
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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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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
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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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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
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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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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
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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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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
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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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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
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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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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
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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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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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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
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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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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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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
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Links from the show
Seth on Mastodon: @[email protected]
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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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
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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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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
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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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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
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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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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
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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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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
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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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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
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Code Comments
Talk Python Courses
Links from the show
Michael's Code in a Castle Course: talkpython.fm/castle
Ken Kinder: @[email protected]
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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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
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Links from the show
Shiny course at Talk Python: talkpython.fm/shiny
Jodie Burchell: @t_redactyl
Carol on Mastodon: @[email protected]
Paul Everitt: @paulweveritt
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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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
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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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You're using Pydantic and it seems pretty straightforward, right? But could you adopt some simple changes to your code that would make it a lot faster and more efficient? Chances are, you'll find a couple of the tips from Sydney Runkle that will do just that. Join us to talk about Pydantic performance tips here on Talk Python.
Episode sponsors
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Code Comments
Talk Python Courses
Links from the show
Sydney Runkle: linkedin.com
Pydantic: pydantic.dev
Performance docs: docs.pydantic.dev
Union tips: docs.pydantic.dev
Sydney's presentation slides: docs.google.com
JSON to Pydantic: jsontopydantic.com
Samuel talking FastUI: talkpython.fm
CodeFlash: codeflash.ai
Codspeed: codspeed.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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