Python Bytes is a weekly podcast hosted by Michael Kennedy and Brian Okken. The show is a short discussion on the headlines and noteworthy news in the Python, developer, and data science space.
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المحتوى المقدم من Michael Kennedy. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Michael Kennedy أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
مشابه لـTalk Python To Me
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Thanks for visiting The Cell Phone Junkie! I will be taking the time each week to discuss my favorite topic, cell phones. Any feedback is appreciated and welcome. You can email me at: questions (AT) thecellphonejunkie (DOT) com or call: 206-203-3734 Thanks and welcome!
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The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
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A podcast for developers interested in building great software products. Every episode, Adam Wathan is joined by a guest to talk about everything from product design and user experience to unit testing and system administration.
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Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
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احبAre you feeling overwhelmed, uninspired, or burned out at work? In this special Unsolicited Advice episode, Anne and Frances are getting ready for summer by tackling the importance of rest and the power of intention. They offer unexpected tips and tricks for recovering from constant stress, owning what you need to feel alive and engaged, and creating an experience of work that unleashes your ambition. Follow Hosts: Anne Morriss ( @annemorriss | LinkedIn: @anne-morriss ), Frances Frei ( @francesxfrei | LinkedIn: @francesfrei ) Links https://anneandfrances.com/ Subscribe to TED Instagram: @ted YouTube: @TED TikTok: @tedtoks LinkedIn: @ted-conferences Website: ted.com Podcasts: ted.com/podcasts For the full text transcript, visit ted.com/podcasts/fixable-transcripts For a chance to give your own TED Talk, fill out the Idea Search Application: ted.com/ideasearch . Hosted on Acast. See acast.com/privacy for more information.…
#512: Building a JIT Compiler for CPython
Manage episode 492217793 series 2453836
المحتوى المقدم من Michael Kennedy. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Michael Kennedy أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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
Posit
Talk Python Courses
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Episode sponsors
Posit
Talk Python Courses
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
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
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مشاركةManage episode 492217793 series 2453836
المحتوى المقدم من Michael Kennedy. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Michael Kennedy أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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
Posit
Talk Python Courses
…
continue reading
Episode sponsors
Posit
Talk Python Courses
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
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
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1 #518: Celebrating Django's 20th Birthday With Its Creators 1:08:13
1:08:13 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:08:13
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبTwenty 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 Triplet, 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. Episode sponsors Talk Python Courses Python in Production Links from the show Guests Simon Willison : simonwillison.net Adrian Holovaty : holovaty.com Will Vincent : wsvincent.com Jeff Triplet : 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 --- 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…
1 #517: Agentic Al Programming with Python 1:17:01
1:17:01 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:17:01
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبAgentic 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 Posit Talk Python Courses 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 --- 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…
1 #516: Accelerating Python Data Science at NVIDIA 1:05:42
1:05:42 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:05:42
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبPython’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 Posit Talk Python Courses 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 --- 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…
1 #515: Durable Python Execution with Temporal 1:10:54
1:10:54 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:10:54
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبWhat 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 Posit PyBay Talk Python Courses 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 --- 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…
1 #514: Python Language Summit 2025 1:13:00
1:13:00 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:13:00
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبEvery 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. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Sentry AI Monitoring, Code TALKPYTHON Talk Python Courses 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 --- 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…
1 #513: Stories from Python History 1:08:36
1:08:36 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:08:36
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبWhy do people listen to this podcast? Sure, they're looking for technical explorations of new libraries and ideas. But often it's to hear the story behind them. If that speaks to you, then I have the perfect episode lined up. I have Barry Warsaw, Paul Everitt, Carol Willing, and Brett Cannon all back on the show to share stories from the history of Python. You'll hear about how import this came to be and how the first PyCon had around 30 attendees (two of whom are guests on this episode!). Sit back and enjoy the humorous stories from Python's past. Episode sponsors Posit Agntcy Talk Python Courses Links from the show Barry's Zen of Python song : youtube.com Jake Vanderplas - Keynote - PyCon 2017 : youtube.com Why it’s called “Python” (Monty Python fan-reference) : geeksforgeeks.org import antigravity : python-history.blogspot.com NIST Python Workshop Attendees : legacy.python.org Paul Everitt open-sources Zope : old.zope.dev Carol Willing wins ACM Software System Award : awards.acm.org Watch this episode on YouTube : youtube.com Episode #513 deep-dive : talkpython.fm/513 Episode transcripts : talkpython.fm Developer Rap Theme Song: Served in a Flask : talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube : youtube.com Talk Python on Bluesky : @talkpython.fm at bsky.app Talk Python on Mastodon : talkpython Michael on Bluesky : @mkennedy.codes at bsky.app Michael on Mastodon : mkennedy…
1 #512: Building a JIT Compiler for CPython 1:08:18
1:08:18 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:08:18
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبDo 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 Posit Talk Python Courses 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…
1 #511: From Notebooks to Production Data Science Systems 54:15
54:15 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب54:15
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبIf 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. Episode sponsors Agntcy Sentry Error Monitoring, Code TALKPYTHON Talk Python Courses 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…
1 #510: 10 Polars Tools and Techniques To Level Up Your Data Science 1:02:04
1:02:04 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:02:04
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبAre 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. Episode sponsors Agntcy Sentry Error Monitoring, Code TALKPYTHON Talk Python Courses 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…
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 Posit Agntcy Talk Python Courses 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 --- 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…
1 #508: Program Your Own Computer with Python 1:11:56
1:11:56 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:11:56
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبIf 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 Posit Agntcy Talk Python Courses 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 --- 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…
1 #507: Agentic AI Workflows with LangGraph 1:03:59
1:03:59 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:03:59
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبIf 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 Posit Auth0 Talk Python Courses 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…
1 #506: ty: Astral's New Type Checker (Formerly Red-Knot) 1:04:19
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبThe 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 Posit Auth0 Talk Python Courses 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 --- 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…
1 #505: t-strings in Python (PEP 750) 1:11:59
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبPython 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 Posit Auth0 Talk Python Courses 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…
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 NordLayer Auth0 Talk Python Courses 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…
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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 NordLayer Auth0 Talk Python Courses 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…
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1 #502: Django Ledger: Accounting with Python 1:03:38
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبDo 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 Talk Python Courses 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…
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1 #501: Marimo - Reactive Notebooks for Python 1:00:35
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبHave 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 Worth Search Talk Python Courses 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…
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1 #500: Django Simple Deploy and other DevOps Things 57:34
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبWe'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…
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1 #499: BeeWare and the State of Python on Mobile 1:07:47
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبThis 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…
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1 #498: Algorithms for high performance terminal apps 1:08:16
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبIn 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…
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1 #496: Scaf: Complete blueprint for new Python Kubernetes projects 1:19:34
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/496
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1 #495: OSMnx: Python and OpenStreetMap 1:01:55
1:01:55 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:01:55
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/495
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1 #494: Update on Flet: Python + Flutter UIs 1:00:23
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/494
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1 #493: Quarto: Open-source technical publishing 1:05:01
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/493
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1 #491: DuckDB and Python: Ducks and Snakes living together 1:02:03
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/491
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1 #489: Anaconda Toolbox for Excel and more with Peter Wang 1:09:09
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/489
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1 #487: Building Rust Extensions for Python 1:02:24
1:02:24 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:02:24
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/487
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1 #486: CSnakes: Embed Python code in .NET 1:02:45
1:02:45 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:02:45
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/486
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1 #485: Secure coding for Python with SheHacksPurple 1:09:28
1:09:28 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:09:28
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/485
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1 #484: From React to a Django+HTMX based stack 57:44
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/484
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1 #483: Reflex Framework: Frontend, Backend, Pure Python 1:03:05
1:03:05 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:03:05
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/483
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1 #482: Pre-commit Hooks for Python Devs 1:10:20
1:10:20 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:10:20
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/482
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1 #481: Python Opinions and Zeitgeist with Hynek 1:03:00
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/481
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1 #480: Ahoy, Narwhals are bridging the data science APIs 59:15
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/480
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1 #479: Designing Effective Load Tests for Your Python App 59:06
59:06 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب59:06
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/479
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1 #478: When and how to start coding with kids 54:25
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/478
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1 #477: Awesome Text Tricks with NLP and spaCy 1:03:47
1:03:47 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:03:47
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/477
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1 #476: Unified Python packaging with uv 1:12:59
1:12:59 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:12:59
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/476
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1 #475: Python Language Summit 2024 1:01:24
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/475
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1 #474: Python Performance for Data Science 1:08:23
1:08:23 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:08:23
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/474
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1 #473: Being a developer with ADHD 1:00:32
1:00:32 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:00:32
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/473
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1 #472: State of Flask and Pallets in 2024 1:01:33
1:01:33 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:01:33
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/472
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1 #471: Learning and teaching Pandas 1:04:14
1:04:14 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:04:14
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/471
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1 #470: Python in Medicine and Patient Care 1:19:04
1:19:04 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:19:04
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/470
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1 #469: PuePy: Reactive frontend framework in Python 58:46
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التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/469
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1 #468: Python Trends Episode 2024 1:05:37
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1 #467: Data Science Panel at PyCon 2024 34:40
34:40 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب34:40
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1 #465: The AI Revolution Won't Be Monopolized 1:08:46
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1 #464: Seeing code flows and generating tests with Kolo 54:59
54:59 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب54:59
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1 #463: Running on Rust: Granian Web Server 1:04:51
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1 #462: Pandas and Beyond with Wes McKinney 59:51
59:51 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب59:51
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1 #461: Python in Neuroscience and Academic Labs 1:03:37
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1 #460: Dropbase: Build Internal Tools with Python 52:29
52:29 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب52:29
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1 #457: Software Supply Chain Security with Phylum 1:08:21
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1 #456: Building GPT Actions with FastAPI and Pydantic 1:05:20
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1 #453: uv - The Next Evolution in Python Packages? 1:14:21
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1 #452: Top Quart (async Flask) Extensions 55:42
55:42 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب55:42
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1 #451: Djangonauts, Ready for Blast-Off 58:33
58:33 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب58:33
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1 #450: Versioning Web APIs in Python 1:02:37
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1 #449: Building UIs in Python with FastUI 1:06:16
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1 #448: Full-Time Open Source Devs Panel 58:46
58:46 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب58:46
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1 #447: Parallel Python Apps with Sub Interpreters 1:11:09
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1 #445: Inside Azure Data Centers with Mark Russinovich 42:25
42:25 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب42:25
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1 #444: The Young Coder's Blueprint to Success 54:59
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1 #442: Ultra High Speed Message Parsing with msgspec 1:00:01
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1 #440: Talking to Notebooks with Jupyter AI 58:52
58:52 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب58:52
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1 #438: Celebrating JupyterLab 4 and Jupyter 7 Releases 1:04:55
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1 #437: HTMX for Django Developers (And All of Us) 1:04:50
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1 #436: An Unbiased Evaluation of Environment and Packaging Tools 58:32
58:32 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب58:32
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1 #434: Building Mobile Apps Backed with Python 58:49
58:49 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب58:49
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1 #433: Litestar: Effortlessly Build Performant APIs 1:04:46
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1 #432: Migrating to Pydantic 2.0: Beanie for MongoDB 53:54
53:54 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب53:54
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1 #431: Visualizing CPython Release Process 1:02:12
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1 #430: Delightful Machine Learning Apps with Gradio 59:43
59:43 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب59:43
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1 #427: 10 Tips and Ideas for the Beginner to Expert Python Journey 1:06:06
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1 #426: What's New in PyScript [August 2023] 1:05:00
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1 #425: Memray: The endgame Python memory profiler 1:10:28
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1 #423: Solving 10 different simulation problems with Python 1:06:32
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1 #422: How data scientists use Python 1:02:16
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1 #420: Database Consistency & Isolation for Python Devs 56:02
56:02 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب56:02
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1 #419: Debugging Python in Production with PyStack 1:12:23
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1 #418: How To Keep A Secret in Python Apps 1:07:11
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1 #417: Test-Driven Prompt Engineering for LLMs with Promptimize 1:13:41
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1 #416: Open Source Sports Analytics with PySport 57:29
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1 #412: PEP 711 - Distributing Python Binaries 1:18:20
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1 #411: Things I Wish Someone Had Explained To Me Sooner About Python 1:03:45
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1 #410: The Intersection of Tabular Data and Generative AI 1:05:38
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1 #409: Privacy as Code with Fides 1:08:01
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1 #408: Hatch: A Modern Python Workflow 1:02:59
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1 #407: pytest tips and tricks for better testing 56:22
56:22 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب56:22
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1 #406: Reimagining Python's Packaging Workflows 1:06:41
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1 #405: Testing in Radio Astronomy with Python and pytest 59:21
59:21 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب59:21
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1 #403: Fusion Ignition Breakthrough and Python 1:04:42
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1 #402: Polars: A Lightning-fast DataFrame for Python [updated audio] 58:48
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1 #401: Migrating 3.8 Million Lines of Python 1:00:57
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1 #400: Ruff - The Fast, Rust-based Python Linter 1:03:45
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1 #397: Evaluating New Open Source Tech Panel 1:03:25
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1 #396: AI Goes on Trial For Writing Code (crossover) 37:32
37:32 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب37:32
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1 #395: Tools for README.md Creation and Maintenance 1:13:31
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1 #394: Awesome Jupyter Libraries and Extensions in 2022 1:02:22
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1 #392: Data Science from the Command Line 1:11:04
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1 #391: Pyscript powered by MicroPython 1:11:04
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1 #389: 18 awesome asyncio packages in Python 57:28
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1 #388: Python 3.11 is here and it's fast 1:06:29
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1 #387: Build All the Things with Pants Build System 1:07:50
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1 #386: Realtime Web Apps and Dashboards with H2O Wave 1:05:37
1:05:37 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:05:37
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/386
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1 #385: Higher level Python asyncio with AnyIO 59:55
59:55 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب59:55
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/385
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1 #384: Python Data Visualization - Where To Start? 1:13:16
1:13:16 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:13:16
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/384
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1 #383: Textinator and Building macOS Apps with Python 1:06:08
1:06:08 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:06:08
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/383
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1 #382: Apache Superset: Modern Data Exploration Platform 1:08:16
1:08:16 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:08:16
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/382
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1 #381: Python Perf: Specializing, Adaptive Interpreter 1:08:53
1:08:53 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:08:53
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/381
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1 #380: 7 lessons from building a modern TUI framework 1:07:49
1:07:49 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:07:49
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/380
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1 #379: 17 Libraries You Should Be Using in Django 1:20:32
1:20:32 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:20:32
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/379
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1 #378: Flet: Flutter apps in Python 1:00:21
1:00:21 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:00:21
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/378
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1 #377: Python Packaging and PyPI in 2022 1:08:11
1:08:11 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:08:11
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/377
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See the full show notes for this episode on the website at talkpython.fm/376
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See the full show notes for this episode on the website at talkpython.fm/375
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See the full show notes for this episode on the website at talkpython.fm/374
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1 #373: Reinventing Azure's Python CLI 1:06:30
1:06:30 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:06:30
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/373
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1 #372: Applied mathematics with Python 1:15:44
1:15:44 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب1:15:44
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/372
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1 #371: pipx - Installable, Isolated Python Applications 58:43
58:43 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب58:43
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/371
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1 #370: OpenBB: Python's Open-source Investment Platform 54:28
54:28 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب54:28
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/370
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1 #369: Getting Lazy with Python Imports and PEP 690 56:26
56:26 التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احب56:26
التشغيل لاحقا التشغيل لاحقا قوائم إعجاب احبSee the full show notes for this episode on the website at talkpython.fm/369
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Python Bytes is a weekly podcast hosted by Michael Kennedy and Brian Okken. The show is a short discussion on the headlines and noteworthy news in the Python, developer, and data science space.
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The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
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A podcast for developers interested in building great software products. Every episode, Adam Wathan is joined by a guest to talk about everything from product design and user experience to unit testing and system administration.
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WSJ’s Bold Names brings you conversations with the leaders of the bold-named companies featured in the pages of The Wall Street Journal. Hosts Tim Higgins and Christopher Mims speak to CEOs and business leaders in interviews that challenge conventional wisdom and take you inside the decisions being made in the C-suite and beyond.
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