#416: Open Source Sports Analytics with PySport

Talk Python To Me

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תוכן מסופק על ידי Michael Kennedy. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Michael Kennedy או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

We Have The Receipts

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Battle Camp: Final 5 Episodes with Dana Moon + Interview with the Winner! 1:03:29

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Finally, we find out who is unbeatable, unhateable, and unbreakable in the final five episodes of Battle Camp Season One. Host Chris Burns is joined by the multi-talented comedian Dana Moon to relive the cockroach mac & cheese, Trey’s drag debut, and the final wheel spin. The Season One Winner joins Chris to debrief on strategy and dish on game play. Leave us a voice message at www.speakpipe.com/WeHaveTheReceipts Text us at (929) 487-3621 DM Chris @FatCarrieBradshaw on Instagram Follow We Have The Receipts wherever you listen, so you never miss an episode. Listen to more from Netflix Podcasts.…

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#Python #Prog Languages #Data Science #Michael Kennedy #Michael Kennedy (@mkennedy #Tech

#416: Open Source Sports Analytics with PySport

Talk Python To Me

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542 פרקים

#Python #Prog Languages #Data Science #Michael Kennedy #Michael Kennedy (@mkennedy #Tech

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Talk Python To Me

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#505: t-strings in Python (PEP 750) 1:11:59

לפני יומיים1:11:59

1:11:59

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 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 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…

Talk Python To Me

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#504: Developer Trends in 2025 1:09:53

לפני 10 ימים1:09:53

1:09:53

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 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…

Talk Python To Me

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#503: The PyArrow Revolution 1:08:36

לפני 17 ימים1:08:36

1:08:36

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 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…

Talk Python To Me

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#502: Django Ledger: Accounting with Python 1:03:38

לפני 24 ימים1:03:38

1:03:38

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

Talk Python To Me

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#501: Marimo - Reactive Notebooks for Python 1:00:35

לפני 4 weeks1:00:35

1:00:35

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

Talk Python To Me

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#500: Django Simple Deploy and other DevOps Things 57:34

לפני 5 weeks57:34

57:34

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 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…

Talk Python To Me

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#499: BeeWare and the State of Python on Mobile 1:07:47

לפני 6 weeks1:07:47

1:07:47

This episode is all about Beeware, the project that working towards true native apps built on Python, especially for iOS and Android. Russell's been at this for more than a decade, and the progress is now hitting critical mass. We'll talk about the Toga GUI toolkit, building and shipping your apps with Briefcase, the newly official support for iOS and Android in CPython, and so much more. I can't wait to explore how BeeWare opens up the entire mobile ecosystem for Python developers, let's jump right in. Episode sponsors Posit Python in Production Talk Python Courses Links from the show Anaconda open source team : anaconda.com PEP 730 – Adding iOS : peps.python.org PEP 738 – Adding Android : peps.python.org Toga : beeware.org Briefcase : beeware.org emscripten : emscripten.org Russell Keith-Magee - Keynote - PyCon 2019 : youtube.com Watch this episode on YouTube : youtube.com Episode 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…

Talk Python To Me

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#498: Algorithms for high performance terminal apps 1:08:16

לפני 7 weeks1:08:16

1:08:16

In this episode, we welcome back Will McGugan, the creator of the wildly popular Rich library and founder of Textualize. We'll dive into Will's latest article on "Algorithms for High Performance Terminal Apps" and explore how he's quietly revolutionizing what's possible in the terminal, from smooth animations and dynamic widgets to full-on TUI (or should we say GUI?) frameworks. Whether you're looking to supercharge your command-line tools or just curious how Python can push the limits of text-based UIs, you'll love hearing how Will's taking a modern, web-inspired approach to old-school terminals. Episode sponsors Posit Python in Production Talk Python Courses Links from the show Algorithms for high performance terminal apps post : textual.textualize.io Textual Demo : github.com Textual : textualize.io Zero ver : 0ver.org memray : github.com Posting app : posting.sh Bulma CSS framewokr : bulma.io JP Term : davidbrochart.github.io Rich : github.com btop : github.com starship : starship.rs Watch this episode on YouTube : youtube.com Episode 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…

Talk Python To Me

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#497: Outlier Detection with Python 55:22

לפני 8 weeks55:22

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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 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…

Talk Python To Me

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#496: Scaf: Complete blueprint for new Python Kubernetes projects 1:19:34

לפני 9 weeks1:19:34

1:19:34

Today 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 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…

Talk Python To Me

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#495: OSMnx: Python and OpenStreetMap 1:01:55

לפני 11 weeks1:01:55

1:01:55

On 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 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…

Talk Python To Me

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#494: Update on Flet: Python + Flutter UIs 1:00:23

לפני 12 weeks1:00:23

1:00:23

As 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 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…

Talk Python To Me

1
#493: Quarto: Open-source technical publishing 1:05:01

לפני 14 weeks1:05:01

1:05:01

In this episode, I'm joined by JJ Allaire, founder and executive chairman at Posit, and Carlos Scheidegger, a software engineer at Posit, to explore Quarto, an open-source tool revolutionizing technical publishing. We discuss how Quarto empowers users to seamlessly transform Jupyter notebooks into polished reports, dashboards, e-books, websites, and more. JJ shares his journey from creating RStudio to developing Quarto as a versatile, multi-language tool, while Carlos delves into its roots in reproducibility and the challenges of academic publishing. Don't miss this deep dive into a tool that's shaping the future of data-driven storytelling! Episode sponsors Talk Python Courses Podcast Later Links from the show JJ Allaire JJ on LinkedIn : linkedin.com JJ on GitHub : github.com Carlos Scheidegger Personal site : cscheid.net Mastodon : @scheidegger Fast AI : fast.ai nbdev : nbdev.fast.ai nbsanity - Share Notebooks as Polished Web Pages in Seconds : answer.ai Pandoc : pandoc.org Observable : github.com Quarto Pub : quartopub.com Deno : deno.com Real World Data Science site : realworlddatascience.net Typst : typst.app Github Actions for Quarto : github.com Watch this episode on YouTube : youtube.com 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…

Talk Python To Me

1
#492: Great Tables 1:04:21

לפני 15 weeks1:04:21

1:04:21

Join me as I chat with Rich Iannone and Michael Chow from Posit where we explore the transformative power of data tables with the Great Tables library. We'll cover practical applications of Great Tables, showcasing how thoughtful design and advanced formatting can elevate your data presentations. And you'll learn about innovative features like nano plots and interactive elements and the importance of structure, format, and style in crafting tables that both inform and inspire. Whether you're a seasoned data scientist or just starting out, this episode is packed with valuable tips and inspiring examples to enhance your data storytelling. Episode sponsors Posit Podcast Later Talk Python Courses Links from the show Michael Chow : github.com/machow Richard Iannone : github.com/rich-iannone Episode Deep Dives Writeup : talkpython.fm/blog Great Tables : github.com Making Beautiful, Publication Quality Tables PyCon talk : youtube.com Andrew Weatherman's Visualization Gallery : aweatherman.com Bureau of the Census Manual of Tabular Presentation : census.gov Table Contest : posit.co Watch this episode on YouTube : youtube.com 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…

Talk Python To Me

1
#491: DuckDB and Python: Ducks and Snakes living together 1:02:03

לפני 20 weeks1:02:03

1:02:03

Join me for an insightful conversation with Alex Monahan, who works on documentation, tutorials, and training at DuckDB Labs. We explore why DuckDB is gaining momentum among Python and data enthusiasts, from its in-process database design to its blazingly fast, columnar architecture. We also dive into indexing strategies, concurrency considerations, and the fascinating way MotherDuck (the cloud companion to DuckDB) handles large-scale data seamlessly. Don’t miss this chance to learn how a single pip install could totally transform your Python data workflow! Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Data Citizens Podcast Talk Python Courses Links from the show Alex on Mastodon : @__Alex__ DuckDB : duckdb.org MotherDuck : motherduck.com SQLite : sqlite.org Moka-Py : github.com PostgreSQL : www.postgresql.org MySQL : www.mysql.com Redis : redis.io Apache Parquet : parquet.apache.org Apache Arrow : arrow.apache.org Pandas : pandas.pydata.org Polars : pola.rs Pyodide : pyodide.org DB-API (PEP 249) : peps.python.org/pep-0249 Flask : flask.palletsprojects.com Gunicorn : gunicorn.org MinIO : min.io Amazon S3 : aws.amazon.com/s3 Azure Blob Storage : azure.microsoft.com/products/storage Google Cloud Storage : cloud.google.com/storage DigitalOcean : www.digitalocean.com Linode : www.linode.com Hetzner : www.hetzner.com BigQuery : cloud.google.com/bigquery DBT (Data Build Tool) : docs.getdbt.com Mode : mode.com Hex : hex.tech Python : www.python.org Node.js : nodejs.org Rust : www.rust-lang.org Go : go.dev .NET : dotnet.microsoft.com Watch this episode on YouTube : youtube.com 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 « » #416: Open Source Sports Analytics with PySport

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#416: Open Source Sports Analytics with PySport

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#416: Open Source Sports Analytics with PySport