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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محتوای ارائه شده توسط Michael Kennedy. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Michael Kennedy یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
مشابه Talk Python To Me
Africa-focused technology, digital and innovation ecosystem insight and commentary.
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Show notes are at https://stevelitchfield.com/sshow/chat.html
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Stay current on JavaScript, Node, and Front-End development. Learn from experts in programming, careers, and technology every week. Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
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The Talk Show With John Gruber
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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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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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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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The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
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The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
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Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
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The Innovators & Investors Podcast
In the latest episode of The Innovators & Investors Podcast, host Kristian Marquez sits down with Sam Huang, Principal at BMW iVentures, for a candid conversation to explore the dynamic intersection of venture capital, artificial intelligence, robotics, and manufacturing innovation. Sam shares BMW iVentures’ investment thesis, focusing on Series A and B startups across the US, Europe, and Israel, with a strong emphasis on AI-driven SaaS, automation, and onshoring trends driven by labor shortages and supply chain disruptions. Listeners gain valuable perspectives on the evolving venture diligence process, the importance of product-market fit, and how higher ARR benchmarks reflect both market maturity and macroeconomic factors like rising interest rates. Sam also candidly discusses his unconventional career path—from a Stanford history PhD program to law school and ultimately venture capital—highlighting how diverse experiences enhance investment acumen. The conversation delves into the benefits of corporate venture capital, especially BMW’s hands-on support and networking advantages for portfolio companies. Additionally, Sam reveals how AI is integrated internally at BMW iVentures to optimize workflow and decision-making. This episode is a must-listen for anyone interested in the future of innovation, investment strategy, and the transformative impact of AI and robotics on global industries. Learn more about Sam's work at https://www.bmwiventures.com/ and her involvement with the Asian Tech Collective at https://www.asiantechcollective.com/ Connect with Sam on LinkedIn at https://www.linkedin.com/in/samantha-huang-10375b106/ Think you'd be a great guest on the show? Apply at https://finstratmgmt.com/innovators-investors-podcast/ Want to learn more about Kristian Marquez's work? Check out his website at https://finstratmgmt.com…
#267: 15 amazing pytest plugins
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محتوای ارائه شده توسط Michael Kennedy. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Michael Kennedy یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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محتوای ارائه شده توسط Michael Kennedy. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Michael Kennedy یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Talk Python To Me
1 #514: Python Language Summit 2025 1:13:00
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پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدEvery 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…
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Talk Python To Me
1 #513: Stories from Python History 1:08:36
1:08:36 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:36
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدWhy 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…
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Talk Python To Me
1 #512: Building a JIT Compiler for CPython 1:08:18
1:08:18 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:18
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدDo 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…
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. 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…
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Talk Python To Me
1 #510: 10 Polars Tools and Techniques To Level Up Your Data Science 1:02:04
1:02:04 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:02:04
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدAre 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…
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Talk Python To Me
1 #508: Program Your Own Computer with Python 1:11:56
1:11:56 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:11:56
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIf 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…
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Talk Python To Me
1 #507: Agentic AI Workflows with LangGraph 1:03:59
1:03:59 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:03:59
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIf 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…
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Talk Python To Me
1 #506: ty: Astral's New Type Checker (Formerly Red-Knot) 1:04:19
1:04:19 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:04:19
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدThe 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…
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Talk Python To Me
1 #505: t-strings in Python (PEP 750) 1:11:59
1:11:59 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:11:59
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدPython 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…
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Talk Python To Me
1 #504: Developer Trends in 2025 1:09:53
1:09:53 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:09:53
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدWhat 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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Talk Python To Me
1 #503: The PyArrow Revolution 1:08:36
1:08:36 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:36
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدPandas 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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Talk Python To Me
1 #502: Django Ledger: Accounting with Python 1:03:38
1:03:38 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:03:38
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدDo 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
1:00:35 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:35
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدHave 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…
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…
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1 #499: BeeWare and the State of Python on Mobile 1:07:47
1:07:47 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:07:47
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدThis 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
1:08:16 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:16
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدIn 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…
Have you ever wondered why certain data points stand out so dramatically? They might hold the key to everything from fraud detection to groundbreaking discoveries. This week on Talk Python to Me, we dive into the world of outlier detection with Python with Brett Kennedy. You'll learn how outliers can signal errors, highlight novel insights, or even reveal hidden patterns lurking in the data you thought you understood. We'll explore fresh research developments, practical use cases, and how outlier detection compares to other core data science tasks like prediction and clustering. If you're ready to spot those game-changing anomalies in your own projects, stay tuned. Discount code for Outlier Detection in Python book : talkpython45 (45% off, no expiration date). Episode sponsors Posit Python in Production Talk Python Courses Links from the show Data-morph : github.com PyOD : github.com Prophet : github.com Outlier Detection in Python Book : manning.com Episode #497 deep-dive : talkpython.fm/497 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
1:19:34 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:19:34
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدToday we explore the wild world of Python deployment with my friend, Calvin Hendryx-Parker from Six Feet Up. We’ll tackle some of the biggest challenges in taking a Python app from “it works on my machine” to production, covering inconsistent environments, conflicting dependencies, and sneaky security pitfalls. Along the way, Calvin shares how containerization with Docker and Kubernetes can both simplify and complicate deployments, especially for smaller teams. Finally, we’ll introduce Scaf, a powerful project blueprint designed to give developers a rock-solid start on Python web projects of all sizes. Get notified when the Talk Python in Production book goes live and read the first third online right now. Episode sponsors Posit Python in Production Talk Python Courses Links from the show Calvin Hendryx-Parker : github.com Scaf on GitHub : github.com Scaf on GitHub (duplicate) : github.com "Deploy the Dream" song : deploy-the-dream-talk-python.mp3 CloudDevEngineering YouTube Channel : youtube.com TechWorld with Nana YouTube Channel : youtube.com Tilt (Kubernetes Dev Tool) : tilt.dev Talos (Minimal OS for Kubernetes) : talos.dev Traefik Reverse Proxy : traefik.io Sealed Secrets on GitHub : github.com Argo CD Documentation : readthedocs.io MailHog on GitHub : github.com Next.js : nextjs.org Cloud Custodian : cloudcustodian.io Valkey (Redis Replacement) : valkey.io “The ‘Works on My Machine’ Certification Program” (Coding Horror) : blog.codinghorror.com NVIDIA’s First Desktop AI PC (Ars Technica) : arstechnica.com Kind (Kubernetes in Docker) : kind.sigs.k8s.io Updated Effective PyCharm Course : training.talkpython.fm Talk Python in Production book : talkpython.fm/books/python-in-production Watch this episode on YouTube : youtube.com Episode #496 deep-dive : talkpython.fm/496 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 #495: OSMnx: Python and OpenStreetMap 1:01:55
1:01:55 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:01:55
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدOn this episode, I'm joined by Dr. Geoff Boeing, an assistant professor at the University of Southern California whose research spans urban planning, spatial analysis, and data science. We explore why OpenStreetMap is such a powerful source of global map data—and how Geoff's Python library, OSMnx, makes that data easier to download, model, and visualize. Along the way, we talk about what shapes city streets around the world, how urban design influences everything from daily commutes to disaster resilience, and why turning open data into accessible tools can open up completely new ways of understanding our cities. If you've ever wondered how to build or analyze your own digital maps in Python, or what it takes to manage a project that transforms raw geographic data into meaningful research, you won't want to miss this conversation. Episode sponsors Posit Python in Production Talk Python Courses Links from the show City Street Orientations World : geoffboeing.com OSMnx Documentation : readthedocs.io OSMnx GitHub : github.com OpenStreetMap : openstreetmap.org Open Database License : opendatacommons.org ID Editor (Web Editor) : wiki.openstreetmap.org Planet OSM : planet.openstreetmap.org Overpass API : wiki.openstreetmap.org GeoPandas : geopandas.org NetworkX : networkx.org Shapely : shapely.readthedocs.io Watch this episode on YouTube : youtube.com Episode #495 deep-dive : talkpython.fm/495 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 #494: Update on Flet: Python + Flutter UIs 1:00:23
1:00:23 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:23
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدAs Python developers, we're incredibly lucky to have over half a million packages that we can use to build our applications with over at PyPI. However, when it comes to choosing a UI framework, the options get narrowed down very quickly. Intersect those choices with the ones that work on mobile, and you have a very short list. Flutter is a UI framework for building desktop and mobile applications, and is in fact the one that we used to build the Talk Python courses app, you'd find at talkpython.fm/apps . That's why I'm so excited about Flet. Flet is a Python UI framework that is distributed and executed on the Flutter framework, making it possible to build mobile apps and desktop apps with Python. We have Feodor Fitsner back on the show after he launched his project a couple years ago to give us an update on how close they are to a full featured mobile app framework in Python. Episode sponsors Posit Python in Production Talk Python Courses Links from the show Flet : flet.dev Flet on Github : github.com Packaging apps with Flet : flet.dev/docs/publish Flutter : flutter.dev React vs. Flutter : trends.stackoverflow.co Kivy : kivy.org Beeware : beeware.org Mobile forge from Beeware : github.com The list of built-in binary wheels : flet.dev/docs/publish/android#binary-python-packages Difference between dynamic and static Flet web apps : flet.dev/docs/publish/web Integrating Flutter packages : flet.dev/docs/extend/integrating-existing-flutter-packages serious_python : pub.dev/packages/serious_python Watch this episode on YouTube : youtube.com Episode #494 deep-dive : talkpython.fm/494 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 #493: Quarto: Open-source technical publishing 1:05:01
1:05:01 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:05:01
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/493
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See the full show notes for this episode on the website at talkpython.fm/492
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1 #491: DuckDB and Python: Ducks and Snakes living together 1:02:03
1:02:03 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:02:03
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/491
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See the full show notes for this episode on the website at talkpython.fm/490
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1 #489: Anaconda Toolbox for Excel and more with Peter Wang 1:09:09
1:09:09 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:09:09
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/489
See the full show notes for this episode on the website at talkpython.fm/488
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1 #487: Building Rust Extensions for Python 1:02:24
1:02:24 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:02:24
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee 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 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:02:45
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee 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 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:09:28
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/485
See 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 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:03:05
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee 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 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:10:20
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee 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
1:03:00 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:03:00
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/481
See the full show notes for this episode on the website at talkpython.fm/480
See the full show notes for this episode on the website at talkpython.fm/479
See 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 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:03:47
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee 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 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:12:59
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee 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
1:01:24 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:01:24
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee 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 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:23
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee 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 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:32
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee 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 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:01:33
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee 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 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:04:14
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee 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 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:19:04
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/470
See 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
1:05:37 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:05:37
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/468
See the full show notes for this episode on the website at talkpython.fm/467
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1 #466: Pydantic Performance Tips 1:00:02
1:00:02 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:02
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/466
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1 #465: The AI Revolution Won't Be Monopolized 1:08:46
1:08:46 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:46
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/465
See the full show notes for this episode on the website at talkpython.fm/464
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1 #463: Running on Rust: Granian Web Server 1:04:51
1:04:51 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:04:51
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/463
See the full show notes for this episode on the website at talkpython.fm/462
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1 #461: Python in Neuroscience and Academic Labs 1:03:37
1:03:37 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:03:37
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/461
See the full show notes for this episode on the website at talkpython.fm/460
See the full show notes for this episode on the website at talkpython.fm/459
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1 #458: Serverless Python in 2024 1:00:22
1:00:22 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:00:22
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/458
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1 #457: Software Supply Chain Security with Phylum 1:08:21
1:08:21 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:08:21
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/457
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1 #456: Building GPT Actions with FastAPI and Pydantic 1:05:20
1:05:20 پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شد1:05:20
پخش در آینده پخش در آینده لیست ها پسندیدن دوست داشته شدSee the full show notes for this episode on the website at talkpython.fm/456
See the full show notes for this episode on the website at talkpython.fm/455
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The Talk Show With John Gruber
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