#413: Live from PyCon 2023

Talk Python To Me

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.

The So What from BCG

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Not All Growth Is Good—Here's How to Get It Right 20:09

לפני 16 ימים20:09

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20:09

Justin Manly, BCG’s lead on growth and innovation, explains how businesses can choose the right growth strategy given their aspirations and position in the market. Whether a company is gaining or losing share, in a booming or sluggish industry, profitable growth depends on knowing your starting point. Learn More: Justin Manly: https://on.bcg.com/4kGYyPH BCG’s Latest Thinking on Growth and Innovation Analytics: https://on.bcg.com/4kjTEIB BCG’s Latest Thinking on Corporate Finance and Strategy: https://on.bcg.com/3ZeAMlX Your Growth Strategy Depends on Your Starting Point: https://on.bcg.com/43YpzZm The Vitality Code: How Growth Leaders Master Strategy, Technology, People, and Culture: https://on.bcg.com/4dMKjH1 This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp…

לפני שנתיים 47:20

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See the full show notes for this episode on the website at talkpython.fm/413

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

#413: Live from PyCon 2023

Talk Python To Me

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published לפני שנתיים

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See the full show notes for this episode on the website at talkpython.fm/413

519 פרקים

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

כל הפרקים

1
#510: 10 Polars Tools and Techniques To Level Up Your Data Science 1:02:04

לפני יומיים1:02:04

1:02:04

Are you using Polars for your data science work? Maybe you've been sticking with the tried-and-true Pandas? There are many benefits to Polars directly of course. But you might not be aware of all the excellent tools and libraries that make Polars even better. Examples include Patito which combines Pydantic and Polars for data validation and polars_encryption which adds AES encryption to selected columns. We have Christopher Trudeau back on Talk Python To Me to tell us about his list of excellent libraries to power up your Polars game and we also talk a bit about his new Polars course. 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 --- 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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#509: GPU Programming in Pure Python 57:29

לפני 9 ימים57:29

57:29

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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#508: Program Your Own Computer with Python 1:11:56

לפני 14 ימים1:11:56

1:11:56

If you've heard the phrase "Automate the boring things" for Python, this episode starts with that idea and takes it to another level. We have Glyph back on the podcast to talk about "Programming YOUR computer with Python." We dive into a bunch of tools and frameworks and especially spend some time on integrating with existing platform APIs (e.g. macOS's BrowserKit and Window's COM APIs) to build desktop apps in Python that make you happier and more productive. Let's dive in! Episode sponsors 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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#507: Agentic AI Workflows with LangGraph 1:03:59

לפני 18 ימים1:03:59

1:03:59

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 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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#506: ty: Astral's New Type Checker (Formerly Red-Knot) 1:04:19

לפני 5 weeks1:04:19

1:04:19

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

לפני 5 weeks1:11:59

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

לפני 7 weeks1:09:53

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 #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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#503: The PyArrow Revolution 1:08:36

לפני 8 weeks1:08:36

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

לפני 9 weeks1:03:38

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

לפני 10 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 #501 deep-dive : talkpython.fm/501 Episode transcripts : talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube : youtube.com Talk Python on Bluesky : @talkpython.fm at bsky.app Talk Python on Mastodon : talkpython Michael on Bluesky : @mkennedy.codes at bsky.app Michael on Mastodon : mkennedy…

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

לפני 10 weeks57:34

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

לפני 12 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 #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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#498: Algorithms for high performance terminal apps 1:08:16

לפני 13 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 #498 deep-dive : talkpython.fm/498 Episode transcripts : talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube : youtube.com Talk Python on Bluesky : @talkpython.fm at bsky.app Talk Python on Mastodon : talkpython Michael on Bluesky : @mkennedy.codes at bsky.app Michael on Mastodon : mkennedy…

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#497: Outlier Detection with Python 55:22

לפני 13 weeks55:22

55:22

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

לפני 14 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 #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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