Talk Python To Me

If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use tools and take further action based on what it has learned at that point. And frameworks provide all the necessary building blocks to weave these into your apps with features like long-term memory and durable resumability. I'm excited to have Sydney Runkle back on the podcast to dive into building Python apps with LangChain and LangGraph. Episode sponsors Posit [https://talkpython.fm/ppm] Auth0 [https://talkpython.fm/auth0] Talk Python Courses [https://talkpython.fm/training] LINKS FROM THE SHOW Sydney Runkle: linkedin.com [https://www.linkedin.com/in/sydney-runkle-105a35190/?featured_on=talkpython] LangGraph: github.com [https://github.com/langchain-ai/langgraph?featured_on=talkpython] LangChain: langchain.com [https://www.langchain.com/?featured_on=talkpython] LangGraph Studio: github.com [https://github.com/langchain-ai/langgraph-studio?featured_on=talkpython] LangGraph (Web): langchain.com [https://www.langchain.com/langgraph?featured_on=talkpython] LangGraph Tutorials Introduction: langchain-ai.github.io [https://langchain-ai.github.io/langgraph/tutorials/introduction/?featured_on=talkpython] How to Think About Agent Frameworks: blog.langchain.dev [https://blog.langchain.dev/how-to-think-about-agent-frameworks/?featured_on=talkpython] Human in the Loop Concept: langchain-ai.github.io [https://langchain-ai.github.io/langgraph/concepts/human_in_the_loop/?featured_on=talkpython] GPT-4 Prompting Guide: cookbook.openai.com [https://cookbook.openai.com/examples/gpt4-1_prompting_guide?featured_on=talkpython] Watch this episode on YouTube: youtube.com [https://www.youtube.com/watch?v=0an8FbTfZNE] Episode transcripts: talkpython.fm [https://talkpython.fm/episodes/transcript/507/agentic-ai-workflows-with-langgraph] --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com [https://talkpython.fm/youtube] Talk Python on Bluesky: @talkpython.fm at bsky.app [https://bsky.app/profile/talkpython.fm] Talk Python on Mastodon: talkpython [https://fosstodon.org/web/@talkpython] Michael on Bluesky: @mkennedy.codes at bsky.app [https://bsky.app/profile/mkennedy.codes?featured_on=talkpython] Michael on Mastodon: mkennedy [https://fosstodon.org/web/@mkennedy]

The folks over at Astral have made some big-time impacts in the Python space with uv and ruff. They are back with another amazing project named ty. You may have known it as Red-Knot. But it's coming up on release time for the first version and with the release it comes with a new official name: ty. We have Charlie Marsh and Carl Meyer on the show to tell us all about this new project. Episode sponsors Posit [https://talkpython.fm/connect-cloud] Auth0 [https://talkpython.fm/auth0] Talk Python Courses [https://talkpython.fm/training] LINKS FROM THE SHOW Talk Python's Rock Solid Python: Type Hints & Modern Tools (Pydantic, FastAPI, and More) Course: training.talkpython.fm [https://training.talkpython.fm/courses/python-type-hint-course-with-hands-on-examples] Charlie Marsh on Twitter: @charliermarsh [https://twitter.com/charliermarsh?featured_on=talkpython] Charlie Marsh on Mastodon: @charliermarsh [https://hachyderm.io/@charliermarsh?featured_on=talkpython] Carl Meyer: @carljm [https://twitter.com/carljm/?featured_on=talkpython] ty on Github: github.com/astral-sh/ty [https://github.com/astral-sh/ty?featured_on=talkpython] A Very Early Play with Astral’s Red Knot Static Type Checker: app.daily.dev [https://app.daily.dev/posts/a-very-early-play-with-astral-s-red-knot-static-type-checker-wnhcuf0lx?featured_on=talkpython] Will Red Knot be a drop-in replacement for mypy or pyright?: github.com [https://github.com/astral-sh/ruff/discussions/15149?featured_on=talkpython] Hacker News Announcement: news.ycombinator.com [https://news.ycombinator.com/item?id=42868576&featured_on=talkpython] Early Explorations of Astral’s Red Knot Type Checker: pydevtools.com [https://pydevtools.com/blog/early-explorations-of-astrals-red-knot-type-checker/?featured_on=talkpython] Astral's Blog: astral.sh [https://astral.sh/blog?featured_on=talkpython] Rust Analyzer Salsa Docs: docs.rs [https://docs.rs/rust-analyzer-salsa/latest/salsa/?featured_on=talkpython] Ruff Open Issues (label: red-knot): github.com [https://github.com/astral-sh/ruff/issues?q=is%3Aissue%20state%3Aopen%20label%3Ared-knot&featured_on=talkpython] Ruff Types: types.ruff.rs [https://types.ruff.rs/?featured_on=talkpython] Ruff Docs (Astral): docs.astral.sh [https://docs.astral.sh/ruff/?featured_on=talkpython] uv Repository: github.com [https://github.com/astral-sh/uv?featured_on=talkpython] Watch this episode on YouTube: youtube.com [https://www.youtube.com/watch?v=XVwpL_cAvrw] Episode transcripts: talkpython.fm [https://talkpython.fm/episodes/transcript/506/ty-astrals-new-type-checker-formerly-red-knot] --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com [https://talkpython.fm/youtube] Talk Python on Bluesky: @talkpython.fm at bsky.app [https://bsky.app/profile/talkpython.fm] Talk Python on Mastodon: talkpython [https://fosstodon.org/web/@talkpython] Michael on Bluesky: @mkennedy.codes at bsky.app [https://bsky.app/profile/mkennedy.codes?featured_on=talkpython] Michael on Mastodon: mkennedy [https://fosstodon.org/web/@mkennedy]

Python has many string formatting styles which have been added to the language over the years. Early Python used the % operator to injected formatted values into strings. And we have string.format() which offers several powerful styles. Both were verbose and indirect, so f-strings were added in Python 3.6. But these f-strings lacked security features (think little bobby tables) and they manifested as fully-formed strings to runtime code. Today we talk about the next evolution of Python string formatting for advanced use-cases (SQL, HTML, DSLs, etc): t-strings. We have Paul Everitt, David Peck, and Jim Baker on the show to introduce this upcoming new language feature. Episode sponsors Posit [https://talkpython.fm/connect] Auth0 [https://talkpython.fm/auth0] Talk Python Courses [https://talkpython.fm/training] LINKS FROM THE SHOW Guests: Paul on X: @paulweveritt [https://x.com/paulweveritt?featured_on=talkpython] Paul on Mastodon: @pauleveritt@fosstodon.org [https://fosstodon.org/@pauleveritt] Dave Peck on Github: github.com [https://github.com/davepeck/?featured_on=talkpython] Jim Baker: github.com [https://github.com/jimbaker?featured_on=talkpython] PEP 750 – Template Strings: peps.python.org [https://peps.python.org/pep-0750/?featured_on=talkpython] tdom - Placeholder for future library on PyPI using PEP 750 t-strings: github.com [https://github.com/t-strings/tdom?featured_on=talkpython] PEP 750: Tag Strings For Writing Domain-Specific Languages: discuss.python.org [https://discuss.python.org/t/pep-750-tag-strings-for-writing-domain-specific-languages/60408?featured_on=talkpython] How To Teach This: peps.python.org [https://peps.python.org/pep-0750/#how-to-teach-this] PEP 501 – General purpose template literal strings: peps.python.org [https://peps.python.org/pep-0501/?featured_on=talkpython] Python's new t-strings: davepeck.org [https://davepeck.org/2025/04/11/pythons-new-t-strings/?featured_on=talkpython] PyFormat: Using % and .format() for great good!: pyformat.info [https://pyformat.info?featured_on=talkpython] flynt: A tool to automatically convert old string literal formatting to f-strings: github.com [https://github.com/ikamensh/flynt?featured_on=talkpython] Examples of using t-strings as defined in PEP 750: github.com [https://github.com/davepeck/pep750-examples/?featured_on=talkpython] htm.py issue: github.com [https://github.com/jviide/htm.py/issues/11?featured_on=talkpython] Exploits of a Mom: xkcd.com [https://xkcd.com/327/?featured_on=talkpython] pyparsing: github.com [https://github.com/pyparsing/pyparsing?featured_on=talkpython] Watch this episode on YouTube: youtube.com [https://www.youtube.com/watch?v=WCWNeZ_rE68] Episode transcripts: talkpython.fm [https://talkpython.fm/episodes/transcript/505/t-strings-in-python-pep-750] --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com [https://talkpython.fm/youtube] Talk Python on Bluesky: @talkpython.fm at bsky.app [https://bsky.app/profile/talkpython.fm] Talk Python on Mastodon: talkpython [https://fosstodon.org/web/@talkpython] Michael on Bluesky: @mkennedy.codes at bsky.app [https://bsky.app/profile/mkennedy.codes?featured_on=talkpython] Michael on Mastodon: mkennedy [https://fosstodon.org/web/@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 [https://talkpython.fm/nordlayer] Auth0 [https://talkpython.fm/auth0] Talk Python Courses [https://talkpython.fm/training] LINKS FROM THE SHOW The Stack Overflow Survey Results: survey.stackoverflow.co/2024 [https://survey.stackoverflow.co/2024/?featured_on=talkpython] Panelists Gina Häußge: chaos.social/@foosel [https://chaos.social/@foosel?featured_on=talkpython] Ines Montani: ines.io [https://ines.io/?featured_on=talkpython] Richard Campbell: about.me/richard.campbell [https://about.me/richard.campbell?featured_on=talkpython] Calvin Hendryx-Parker: github.com/calvinhp [https://github.com/calvinhp?featured_on=talkpython] Explosion: explosion.ai [https://explosion.ai?featured_on=talkpython] spaCy: spacy.io [https://spacy.io?featured_on=talkpython] OctoPrint: octoprint.org [https://octoprint.org?featured_on=talkpython] .NET Rocks: dotnetrocks.com [https://www.dotnetrocks.com?featured_on=talkpython] Six Feet Up: sixfeetup.com [https://sixfeetup.com?featured_on=talkpython] Stack Overflow: stackoverflow.com [https://stackoverflow.com/?featured_on=talkpython] Python.org: python.org [https://www.python.org/?featured_on=talkpython] GitHub Copilot: github.com [https://github.com/features/copilot?featured_on=talkpython] OpenAI ChatGPT: chat.openai.com [https://chat.openai.com/?featured_on=talkpython] Claude: anthropic.com [https://www.anthropic.com/index/introducing-claude?featured_on=talkpython] LM Studio: lmstudio.ai [https://lmstudio.ai/?featured_on=talkpython] Hetzner: hetzner.com [https://www.hetzner.com?featured_on=talkpython] Docker: docker.com [https://www.docker.com?featured_on=talkpython] Aider Chat: github.com [https://github.com/paul-gauthier/aider?featured_on=talkpython] Codename Goose AI: block.github.io/goose/ [https://block.github.io/goose/?featured_on=talkpython] IndyPy: indypy.org [https://www.indypy.org/?featured_on=talkpython] OctoPrint Community Forum: community.octoprint.org [https://community.octoprint.org?featured_on=talkpython] spaCy GitHub: github.com [https://github.com/explosion/spaCy?featured_on=talkpython] Hugging Face: huggingface.co [https://huggingface.co/?featured_on=talkpython] Watch this episode on YouTube: youtube.com [https://www.youtube.com/watch?v=6VZEJ8FstEQ] Episode transcripts: talkpython.fm [https://talkpython.fm/episodes/transcript/504/developer-trends-in-2025] --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com [https://talkpython.fm/youtube] Talk Python on Bluesky: @talkpython.fm at bsky.app [https://bsky.app/profile/talkpython.fm] Talk Python on Mastodon: talkpython [https://fosstodon.org/web/@talkpython] Michael on Bluesky: @mkennedy.codes at bsky.app [https://bsky.app/profile/mkennedy.codes?featured_on=talkpython] Michael on Mastodon: mkennedy [https://fosstodon.org/web/@mkennedy]

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 [https://talkpython.fm/nordlayer] Auth0 [https://talkpython.fm/auth0] Talk Python Courses [https://talkpython.fm/training] LINKS FROM THE SHOW Reuven: github.com/reuven [https://github.com/reuven?featured_on=talkpython] Apache Arrow: github.com [https://github.com/apache/arrow?featured_on=talkpython] Parquet: parquet.apache.org [https://parquet.apache.org/?featured_on=talkpython] Feather format: arrow.apache.org [https://arrow.apache.org/docs/python/feather.html?featured_on=talkpython] Python Workout Book (45% off with code talkpython45): manning.com [https://mng.bz/nZNv?featured_on=talkpython] Pandas Workout Book (45% off with code talkpython45): manning.com [https://mng.bz/Qwvm?featured_on=talkpython] Pandas: pandas.pydata.org [https://pandas.pydata.org/?featured_on=talkpython] PyArrow CSV docs: arrow.apache.org [https://arrow.apache.org/docs/python/csv.html?featured_on=talkpython] Future string inference in Pandas: pandas.pydata.org [https://pandas.pydata.org/docs?featured_on=talkpython] Pandas NA/nullable dtypes: pandas.pydata.org [https://pandas.pydata.org/docs/user_guide/integer_na.html?featured_on=talkpython] Pandas `.iloc` indexing: pandas.pydata.org [https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.iloc.html?featured_on=talkpython] DuckDB: duckdb.org [https://duckdb.org?featured_on=talkpython] Pandas user guide: pandas.pydata.org [https://pandas.pydata.org/docs/user_guide/?featured_on=talkpython] Pandas GitHub issues: github.com [https://github.com/pandas-dev/pandas/issues?featured_on=talkpython] Watch this episode on YouTube: youtube.com [https://www.youtube.com/watch?v=IHd-bgeHrv0] Episode transcripts: talkpython.fm [https://talkpython.fm/episodes/transcript/503/the-pyarrow-revolution] --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com [https://talkpython.fm/youtube] Talk Python on Bluesky: @talkpython.fm at bsky.app [https://bsky.app/profile/talkpython.fm] Talk Python on Mastodon: talkpython [https://fosstodon.org/web/@talkpython] Michael on Bluesky: @mkennedy.codes at bsky.app [https://bsky.app/profile/mkennedy.codes?featured_on=talkpython] Michael on Mastodon: mkennedy [https://fosstodon.org/web/@mkennedy]