Talk Python To Me

#518: Celebrating Django's 20th Birthday With Its Creators Aug 29, 2025

Twenty years after a scrappy newsroom team hacked together a framework to ship stories fast, Django remains the Python web framework that ships real apps, responsibly. In this anniversary roundtable with its creators and long-time stewards: Simon Willison, Adrian Holovaty, Will Vincent, Jeff Triplett, and Thibaud Colas, we trace the path from the Lawrence Journal-World to 1.0, DjangoCon, and the DSF; unpack how a BSD license and a culture of docs, tests, and mentorship grew a global community; and revisit lessons from deployments like Instagram. We talk modern Django too: ASGI and async, HTMX-friendly patterns, building APIs with DRF and Django Ninja, and how Django pairs with React and serverless without losing its batteries-included soul. You’ll hear about Django Girls, Djangonauts, and the Django Fellowship that keep momentum going, plus where Django fits in today’s AI stacks. Finally, we look ahead at the next decade of speed, security, and sustainability.
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Links from the show

Guests
Simon Willison: simonwillison.net
Adrian Holovaty: holovaty.com
Will Vincent: wsvincent.com
Jeff Triplett: jefftriplett.com
Thibaud Colas: thib.me
Show Links
Django's 20th Birthday Reflections (Simon Willison): simonwillison.net
Happy 20th Birthday, Django! (Django Weblog): djangoproject.com
Django 2024 Annual Impact Report: djangoproject.com
Welcome Our New Fellow: Jacob Tyler Walls: djangoproject.com
Soundslice Music Learning Platform: soundslice.com
Djangonaut Space Mentorship for Django Contributors: djangonaut.space
Wagtail CMS for Django: wagtail.org
Django REST Framework: django-rest-framework.org
Django Ninja API Framework for Django: django-ninja.dev
Lawrence Journal-World: ljworld.com
Watch this episode on YouTube: youtube.com
Episode #518 deep-dive: talkpython.fm/518
Episode transcripts: talkpython.fm
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong
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Michael on Mastodon: mkennedy

#517: Agentic Al Programming with Python Aug 22, 2025

Agentic AI programming is what happens when coding assistants stop acting like autocomplete and start collaborating on real work. In this episode, we cut through the hype and incentives to define “agentic,” then get hands-on with how tools like Cursor, Claude Code, and LangChain actually behave inside an established codebase. Our guest, Matt Makai, now VP of Developer Relations at DigitalOcean, creator of Full Stack Python and Plushcap, shares hard-won tactics. We unpack what breaks, from brittle “generate a bunch of tests” requests to agents amplifying technical debt and uneven design patterns. Plus, we also discuss a sane git workflow for AI-sized diffs. You’ll hear practical Claude tips, why developers write more bugs when typing less, and where open source agents are headed. Hint: The destination is humans as editors of systems, not just typists of code.
Episode sponsors
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Links from the show

Matt Makai: linkedin.com
Plushcap Developer Content Analytics: plushcap.com
DigitalOcean Gradient AI Platform: digitalocean.com
DigitalOcean YouTube Channel: youtube.com
Why Generative AI Coding Tools and Agents Do Not Work for Me: blog.miguelgrinberg.com
AI Changes Everything: lucumr.pocoo.org
Claude Code - 47 Pro Tips in 9 Minutes: youtube.com
Cursor AI Code Editor: cursor.com
JetBrains Junie: jetbrains.com
Claude Code by Anthropic: anthropic.com
Full Stack Python: fullstackpython.com
Watch this episode on YouTube: youtube.com
Episode #517 deep-dive: talkpython.fm/517
Episode transcripts: talkpython.fm
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong
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Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy

#516: Accelerating Python Data Science at NVIDIA Aug 19, 2025

Python’s data stack is getting a serious GPU turbo boost. In this episode, Ben Zaitlen from NVIDIA joins us to unpack RAPIDS, the open source toolkit that lets pandas, scikit-learn, Spark, Polars, and even NetworkX execute on GPUs. We trace the project’s origin and why NVIDIA built it in the open, then dig into the pieces that matter in practice: cuDF for DataFrames, cuML for ML, cuGraph for graphs, cuXfilter for dashboards, and friends like cuSpatial and cuSignal. We talk real speedups, how the pandas accelerator works without a rewrite, and what becomes possible when jobs that used to take hours finish in minutes. You’ll hear strategies for datasets bigger than GPU memory, scaling out with Dask or Ray, Spark acceleration, and the growing role of vector search with cuVS for AI workloads. If you know the CPU tools, this is your on-ramp to the same APIs at GPU speed.
Episode sponsors
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Links from the show

RAPIDS: github.com/rapidsai
Example notebooks showing drop-in accelerators: github.com
Benjamin Zaitlen - LinkedIn: linkedin.com
RAPIDS Deployment Guide (Stable): docs.rapids.ai
RAPIDS cuDF API Docs (Stable): docs.rapids.ai
Asianometry YouTube Video: youtube.com
cuDF pandas Accelerator (Stable): docs.rapids.ai
Watch this episode on YouTube: youtube.com
Episode #516 deep-dive: talkpython.fm/516
Episode transcripts: talkpython.fm
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong
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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

#515: Durable Python Execution with Temporal Aug 11, 2025

What if your code was crash-proof? That's the value prop for a framework called Temporal. Temporal is a durable execution platform that enables developers to build scalable applications without sacrificing productivity or reliability. The Temporal server executes units of application logic called Workflows in a resilient manner that automatically handles intermittent failures, and retries failed operations. We have Mason Egger from Temporal on to dive into durable execution.
Episode sponsors
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Links from the show

Just Enough Python for Data Scientists Course: talkpython.fm
Temporal Durable Execution Platform: temporal.io
Temporal Learn Portal: learn.temporal.io
Temporal GitHub Repository: github.com
Temporal Python SDK GitHub Repository: github.com
What Is Durable Execution, Temporal Blog: temporal.io
Mason on Bluesky Profile: bsky.app
Mason on Mastodon Profile: fosstodon.org
Mason on Twitter Profile: twitter.com
Mason on LinkedIn Profile: linkedin.com
X Post by @skirano: x.com
Temporal Docker Compose GitHub Repository: github.com
Building a distributed asyncio event loop (Chad Retz) - PyTexas 2025: youtube.com
Watch this episode on YouTube: youtube.com
Episode #515 deep-dive: talkpython.fm/515
Episode transcripts: talkpython.fm
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong
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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

#514: Python Language Summit 2025 Jul 18, 2025

Every year the core developers of Python convene in person to focus on high priority topics for CPython and beyond. This year they met at PyCon US 2025. Those meetings are closed door to keep focused and productive. But we're lucky that Seth Michael Larson was in attendance and wrote up each topic presented and the reactions and feedback to each. We'll be exploring this year's Language Summit with Seth. It's quite insightful to where Python is going and the pressing matters.
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Links from the show

Seth on Mastodon: @sethmlarson@fosstodon.org
Seth on Twitter: @sethmlarson
Seth on Github: github.com
Python Language Summit 2025: pyfound.blogspot.com
WheelNext: wheelnext.dev
Free-Threaded Wheels: hugovk.github.io
Free-Threaded Python Compatibility Tracking: py-free-threading.github.io
PEP 779: Criteria for supported status for free-threaded Python: discuss.python.org
PyPI Data: py-code.org
Senior Engineer tries Vibe Coding: youtube.com
Watch this episode on YouTube: youtube.com
Episode #514 deep-dive: talkpython.fm/514
Episode transcripts: talkpython.fm
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong
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Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy

#513: Stories from Python History Jul 14, 2025

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

Barry's Zen of Python song: youtube.com
Jake Vanderplas - Keynote - PyCon 2017: youtube.com
Why it’s called “Python” (Monty Python fan-reference): geeksforgeeks.org
import antigravity: python-history.blogspot.com
NIST Python Workshop Attendees: legacy.python.org
Paul Everitt open-sources Zope: old.zope.dev
Carol Willing wins ACM Software System Award: awards.acm.org
Watch this episode on YouTube: youtube.com
Episode #513 deep-dive: talkpython.fm/513
Episode transcripts: talkpython.fm
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong
--- Stay in touch with us ---
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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

#512: Building a JIT Compiler for CPython Jul 02, 2025

Do you like to dive into the details and intricacies of how Python executes and how we can optimize it? Well, do I have an episode for you. We welcome back Brandt Bucher to give us an update on the upcoming JIT compiler for Python and why it differs from JITs for languages such as C# and Java.
Episode sponsors
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Links from the show

Brandt Bucher: github.com/brandtbucher
PyCon Talk: What they don't tell you about building a JIT compiler for CPython: youtube.com
Specializing, Adaptive Interpreter Episode: talkpython.fm
Watch this episode on YouTube: youtube.com
Episode #512 deep-dive: talkpython.fm/512
Episode transcripts: talkpython.fm
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy

#511: From Notebooks to Production Data Science Systems Jun 25, 2025

If you're doing data science and have mostly spent your time doing exploratory or just local development, this could be the episode for you. We are joined by Catherine Nelson to discuss techniques and tools to move your data science game from local notebooks to full-on production workflows.
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Links from the show

New Course: LLM Building Blocks for Python: training.talkpython.fm
Catherine Nelson LinkedIn Profile: linkedin.com
Catherine Nelson Bluesky Profile: bsky.app
Enter to win the book: forms.google.com
Going From Notebooks to Scalable Systems - PyCon US 2025: us.pycon.org
Going From Notebooks to Scalable Systems - Catherine Nelson – YouTube: youtube.com
From Notebooks to Scalable Systems Code Repository: github.com
Building Machine Learning Pipelines Book: oreilly.com
Software Engineering for Data Scientists Book: oreilly.com
Jupytext - Jupyter Notebooks as Markdown Documents: github.com
Jupyter nbconvert - Notebook Conversion Tool: github.com
Awesome MLOps - Curated List: github.com
Watch this episode on YouTube: youtube.com
Episode #511 deep-dive: talkpython.fm/511
Episode transcripts: talkpython.fm
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy

#510: 10 Polars Tools and Techniques To Level Up Your Data Science Jun 18, 2025

Are you using Polars for your data science work? Maybe you've been sticking with the tried-and-true Pandas? There are many benefits to Polars directly of course. But you might not be aware of all the excellent tools and libraries that make Polars even better. Examples include Patito which combines Pydantic and Polars for data validation and polars_encryption which adds AES encryption to selected columns. We have Christopher Trudeau back on Talk Python To Me to tell us about his list of excellent libraries to power up your Polars game and we also talk a bit about his new Polars course.
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Links from the show

New Theme Song (Full-Length Download and backstory): talkpython.fm/blog
Polars for Power Users Course: training.talkpython.fm
Awesome Polars: github.com
Polars Visualization with Plotly: docs.pola.rs
Dataframely: github.com
Patito: github.com
polars_iptools: github.com
polars-fuzzy-match: github.com
Nucleo Fuzzy Matcher: github.com
polars-strsim: github.com
polars_encryption: github.com
polars-xdt: github.com
polars_ols: github.com
Least Mean Squares Filter in Signal Processing: www.geeksforgeeks.org
polars-pairing: github.com
Pairing Function: en.wikipedia.org
polars_list_utils: github.com
Harley Schema Helpers: tomburdge.github.io
Marimo Reactive Notebooks Episode: talkpython.fm
Marimo: marimo.io
Ahoy Narwhals Podcast Episode Links: talkpython.fm
Watch this episode on YouTube: youtube.com
Episode #510 deep-dive: talkpython.fm/510
Episode transcripts: talkpython.fm
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy

#509: GPU Programming in Pure Python Jun 11, 2025

If you're looking to leverage the insane power of modern GPUs for data science and ML, you might think you'll need to use some low-level programming language such as C++. But the folks over at NVIDIA have been hard at work building Python SDKs which provide nearly native level of performance when doing Pythonic GPU programming. Bryce Adelstein Lelbach is here to tell us about programming your GPU in pure Python.
Episode sponsors
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Links from the show

Bryce Adelstein Lelbach on Twitter: @blelbach
Episode Deep Dive write up: talkpython.fm/blog
NVIDIA CUDA Python API: github.com
Numba (JIT Compiler for Python): numba.pydata.org
Applied Data Science Podcast: adspthepodcast.com
NVIDIA Accelerated Computing Hub: github.com
NVIDIA CUDA Python Math API Documentation: docs.nvidia.com
CUDA Cooperative Groups (CCCL): nvidia.github.io
Numba CUDA User Guide: nvidia.github.io
CUDA Python Core API: nvidia.github.io
Numba (JIT Compiler for Python): numba.pydata.org
NVIDIA’s First Desktop AI PC ($3,000): arstechnica.com
Google Colab: colab.research.google.com
Compiler Explorer (“Godbolt”): godbolt.org
CuPy: github.com
RAPIDS User Guide: docs.rapids.ai
Watch this episode on YouTube: youtube.com
Episode #509 deep-dive: talkpython.fm/509
Episode transcripts: talkpython.fm
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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

#508: Program Your Own Computer with Python Jun 06, 2025

If you've heard the phrase "Automate the boring things" for Python, this episode starts with that idea and takes it to another level. We have Glyph back on the podcast to talk about "Programming YOUR computer with Python." We dive into a bunch of tools and frameworks and especially spend some time on integrating with existing platform APIs (e.g. macOS's BrowserKit and Window's COM APIs) to build desktop apps in Python that make you happier and more productive. Let's dive in!
Episode sponsors
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Links from the show

Glyph on Mastodon: @glyph@mastodon.social
Glyph on GitHub: github.com/glyph
Glyph's Conference Talk: LceLUPdIzRs: youtube.com
Notify Py: ms7m.github.io
Rumps: github.com
QuickMacHotkey: pypi.org
QuickMacApp: pypi.org
LM Studio: lmstudio.ai
Coolify: coolify.io
PyWin32: pypi.org
WinRT: pypi.org
PyObjC: pypi.org
PyObjC Documentation: pyobjc.readthedocs.io
Watch this episode on YouTube: youtube.com
Episode #508 deep-dive: talkpython.fm/508
Episode transcripts: talkpython.fm
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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

#507: Agentic AI Workflows with LangGraph Jun 02, 2025

If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use tools and take further action based on what it has learned at that point. And frameworks provide all the necessary building blocks to weave these into your apps with features like long-term memory and durable resumability. I'm excited to have Sydney Runkle back on the podcast to dive into building Python apps with LangChain and LangGraph.
Episode sponsors
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Links from the show

Sydney Runkle: linkedin.com
LangGraph: github.com
LangChain: langchain.com
LangGraph Studio: github.com
LangGraph (Web): langchain.com
LangGraph Tutorials Introduction: langchain-ai.github.io
How to Think About Agent Frameworks: blog.langchain.dev
Human in the Loop Concept: langchain-ai.github.io
GPT-4 Prompting Guide: cookbook.openai.com
Watch this episode on YouTube: youtube.com
Episode #507 deep-dive: talkpython.fm/507
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

#506: ty: Astral's New Type Checker (Formerly Red-Knot) May 19, 2025

The folks over at Astral have made some big-time impacts in the Python space with uv and ruff. They are back with another amazing project named ty. You may have known it as Red-Knot. But it's coming up on release time for the first version and with the release it comes with a new official name: ty. We have Charlie Marsh and Carl Meyer on the show to tell us all about this new project.
Episode sponsors
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Links from the show

Talk Python's Rock Solid Python: Type Hints & Modern Tools (Pydantic, FastAPI, and More) Course: training.talkpython.fm
Charlie Marsh on Twitter: @charliermarsh
Charlie Marsh on Mastodon: @charliermarsh
Carl Meyer: @carljm
ty on Github: github.com/astral-sh/ty
A Very Early Play with Astral’s Red Knot Static Type Checker: app.daily.dev
Will Red Knot be a drop-in replacement for mypy or pyright?: github.com
Hacker News Announcement: news.ycombinator.com
Early Explorations of Astral’s Red Knot Type Checker: pydevtools.com
Astral's Blog: astral.sh
Rust Analyzer Salsa Docs: docs.rs
Ruff Open Issues (label: red-knot): github.com
Ruff Types: types.ruff.rs
Ruff Docs (Astral): docs.astral.sh
uv Repository: github.com
Watch this episode on YouTube: youtube.com
Episode #506 deep-dive: talkpython.fm/506
Episode transcripts: talkpython.fm
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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

#505: t-strings in Python (PEP 750) May 13, 2025

Python has many string formatting styles which have been added to the language over the years. Early Python used the % operator to injected formatted values into strings. And we have string.format() which offers several powerful styles. Both were verbose and indirect, so f-strings were added in Python 3.6. But these f-strings lacked security features (think little bobby tables) and they manifested as fully-formed strings to runtime code. Today we talk about the next evolution of Python string formatting for advanced use-cases (SQL, HTML, DSLs, etc): t-strings. We have Paul Everitt, David Peck, and Jim Baker on the show to introduce this upcoming new language feature.
Episode sponsors
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Links from the show

Guests:
Paul on X: @paulweveritt
Paul on Mastodon: @pauleveritt@fosstodon.org
Dave Peck on Github: github.com
Jim Baker: github.com
PEP 750 – Template Strings: peps.python.org
tdom - Placeholder for future library on PyPI using PEP 750 t-strings: github.com
PEP 750: Tag Strings For Writing Domain-Specific Languages: discuss.python.org
How To Teach This: peps.python.org
PEP 501 – General purpose template literal strings: peps.python.org
Python's new t-strings: davepeck.org
PyFormat: Using % and .format() for great good!: pyformat.info
flynt: A tool to automatically convert old string literal formatting to f-strings: github.com
Examples of using t-strings as defined in PEP 750: github.com
htm.py issue: github.com
Exploits of a Mom: xkcd.com
pyparsing: github.com
Watch this episode on YouTube: youtube.com
Episode #505 deep-dive: talkpython.fm/505
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

#504: Developer Trends in 2025 May 05, 2025

What trends and technologies should you be paying attention to today? Are there hot new database servers you should check out? Or will that just be a flash in the pan? I love these forward looking episodes and this one is super fun. I've put together an amazing panel: Gina Häußge, Ines Montani, Richard Campbell, and Calvin Hendryx-Parker. We dive into the recent Stack Overflow Developer survey results as a sounding board for our thoughts on rising and falling trends in the Python and broader developer space.
Episode sponsors
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Links from the show

The Stack Overflow Survey Results: survey.stackoverflow.co/2024
Panelists
Gina Häußge: chaos.social/@foosel
Ines Montani: ines.io
Richard Campbell: about.me/richard.campbell
Calvin Hendryx-Parker: github.com/calvinhp
Explosion: explosion.ai
spaCy: spacy.io
OctoPrint: octoprint.org
.NET Rocks: dotnetrocks.com
Six Feet Up: sixfeetup.com
Stack Overflow: stackoverflow.com
Python.org: python.org
GitHub Copilot: github.com
OpenAI ChatGPT: chat.openai.com
Claude: anthropic.com
LM Studio: lmstudio.ai
Hetzner: hetzner.com
Docker: docker.com
Aider Chat: github.com
Codename Goose AI: block.github.io/goose/
IndyPy: indypy.org
OctoPrint Community Forum: community.octoprint.org
spaCy GitHub: github.com
Hugging Face: huggingface.co
Watch this episode on YouTube: youtube.com
Episode #504 deep-dive: talkpython.fm/504
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

#503: The PyArrow Revolution Apr 28, 2025

Pandas is at a the core of virtually all data science done in Python, that is virtually all data science. Since it's beginning, Pandas has been based upon numpy. But changes are afoot to update those internals and you can now optionally use PyArrow. PyArrow comes with a ton of benefits including it's columnar format which makes answering analytical questions faster, support for a range of high performance file formats, inter-machine data streaming, faster file IO and more. Reuven Lerner is here to give us the low-down on the PyArrow revolution.
Episode sponsors
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Links from the show

Reuven: github.com/reuven
Apache Arrow: github.com
Parquet: parquet.apache.org
Feather format: arrow.apache.org
Python Workout Book (45% off with code talkpython45): manning.com
Pandas Workout Book (45% off with code talkpython45): manning.com
Pandas: pandas.pydata.org
PyArrow CSV docs: arrow.apache.org
Future string inference in Pandas: pandas.pydata.org
Pandas NA/nullable dtypes: pandas.pydata.org
Pandas `.iloc` indexing: pandas.pydata.org
DuckDB: duckdb.org
Pandas user guide: pandas.pydata.org
Pandas GitHub issues: github.com
Watch this episode on YouTube: youtube.com
Episode #503 deep-dive: talkpython.fm/503
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

#502: Django Ledger: Accounting with Python Apr 21, 2025

Do you or your company need accounting software? Well, there are plenty of SaaS products out there that you can give your data to. but maybe you also really like Django and would rather have a foundation to build your own accounting system exactly as you need for your company or your product. On this episode, we're diving into Django Ledger, created by Miguel Sanda, which can do just that.
Episode sponsors
Auth0
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Links from the show

Miguel Sanda on Twitter: @elarroba
Miguel on Mastodon: @elarroba@fosstodon.org
Miguel on GitHub: github.com
Django Ledger on Github: github.com
Django Ledger Discord: discord.gg
Get Started with Django MongoDB Backend: mongodb.com
Wagtail CMS: wagtail.org
Watch this episode on YouTube: youtube.com
Episode #502 deep-dive: talkpython.fm/502
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

#501: Marimo - Reactive Notebooks for Python Apr 14, 2025

Have you ever spent an afternoon wrestling with a Jupyter notebook, hoping that you ran the cells in just the right order, only to realize your outputs were completely out of sync? Today's guest has a fresh take on solving that exact problem. Akshay Agrawal is here to introduce Marimo, a reactive Python notebook that ensures your code and outputs always stay in lockstep. And that's just the start! We'll also dig into Akshay's background at Google Brain and Stanford, what it's like to work on the cutting edge of AI, and how Marimo is uniting the best of data science exploration and real software engineering.
Episode sponsors
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Links from the show

Akshay Agrawal: akshayagrawal.com
YouTube: youtube.com
Source: github.com
Docs: marimo.io
Marimo: marimo.io
Discord: marimo.io
WASM playground: marimo.new
Experimental generate notebooks with AI: marimo.app
Pluto.jl: plutojl.org
Observable JS: observablehq.com
Watch this episode on YouTube: youtube.com
Episode #501 deep-dive: talkpython.fm/501
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

#500: Django Simple Deploy and other DevOps Things Apr 10, 2025

We're sitting down with Eric Matthes, the educator, author, and developer behind Django Simple Deploy. If you've ever struggled with taking that final step of getting your Django app onto a live server (without spending days wrestling with DevOps complexities), then give Django Simple Deploy a look. Eric shares how Django Simple Deploy automates away the boilerplate parts of deployment, so you can focus on building features instead of deciphering endless configs. We'll talk about this new project's journey to 1.0, the range of hosting platforms it supports, and why it's not just for beginners.
Episode sponsors
Worth Search
Talk Python Courses

Links from the show

django-simple-deploy documentation: readthedocs.io
django-simple-deploy repository: github.com
Python Crash Course book: ehmatthes.github.io
Code Red: codered.cloud
Docker: docker.com
Caddy: caddyserver.com
Bunny.net CDN: bunny.net
Platform.sh: platform.sh
fly.io: fly.io
Heroku: heroku.com
Watch this episode on YouTube: youtube.com
Episode #500 deep-dive: talkpython.fm/500
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

#499: BeeWare and the State of Python on Mobile Mar 31, 2025

This episode is all about Beeware, the project that working towards true native apps built on Python, especially for iOS and Android. Russell's been at this for more than a decade, and the progress is now hitting critical mass. We'll talk about the Toga GUI toolkit, building and shipping your apps with Briefcase, the newly official support for iOS and Android in CPython, and so much more. I can't wait to explore how BeeWare opens up the entire mobile ecosystem for Python developers, let's jump right in.
Episode sponsors
Posit
Python in Production
Talk Python Courses

Links from the show

Anaconda open source team: anaconda.com
PEP 730 – Adding iOS: peps.python.org
PEP 738 – Adding Android: peps.python.org
Toga: beeware.org
Briefcase: beeware.org
emscripten: emscripten.org
Russell Keith-Magee - Keynote - PyCon 2019: youtube.com
Watch this episode on YouTube: youtube.com
Episode #499 deep-dive: talkpython.fm/499
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

#498: Algorithms for high performance terminal apps Mar 24, 2025

In this episode, we welcome back Will McGugan, the creator of the wildly popular Rich library and founder of Textualize. We'll dive into Will's latest article on "Algorithms for High Performance Terminal Apps" and explore how he's quietly revolutionizing what's possible in the terminal, from smooth animations and dynamic widgets to full-on TUI (or should we say GUI?) frameworks. Whether you're looking to supercharge your command-line tools or just curious how Python can push the limits of text-based UIs, you'll love hearing how Will's taking a modern, web-inspired approach to old-school terminals.
Episode sponsors
Posit
Python in Production
Talk Python Courses

Links from the show

Algorithms for high performance terminal apps post: textual.textualize.io
Textual Demo: github.com
Textual: textualize.io
Zero ver: 0ver.org
memray: github.com
Posting app: posting.sh
Bulma CSS framewokr: bulma.io
JP Term: davidbrochart.github.io
Rich: github.com
btop: github.com
starship: starship.rs
Watch this episode on YouTube: youtube.com
Episode #498 deep-dive: talkpython.fm/498
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy

#497: Outlier Detection with Python Mar 21, 2025

See the full show notes for this episode on the website at talkpython.fm/497

#496: Scaf: Complete blueprint for new Python Kubernetes projects Mar 14, 2025

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#495: OSMnx: Python and OpenStreetMap Feb 24, 2025

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#494: Update on Flet: Python + Flutter UIs Feb 21, 2025

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#493: Quarto: Open-source technical publishing Feb 09, 2025

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#492: Great Tables Jan 30, 2025

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

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#490: Django Ninja Dec 24, 2024

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

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#488: Multimodal data with LanceDB Dec 12, 2024

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

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

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

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

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

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

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

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

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

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

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

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

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#475: Python Language Summit 2024 Aug 24, 2024

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

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

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

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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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#456: Building GPT Actions with FastAPI and Pydantic Apr 16, 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 30, 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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