Starting With marimo Notebooks & Python App Config Management

Looking for a guide on getting started with marimo notebooks? How do you build a reproducible notebook for sharing or create a dashboard with interactive UI elements? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

We cover a recent Real Python article by Ian Eyre about using narimo notebooks. The tutorial covers installing Marimo, taking advantage of reactivity, building interactive dashboards, and managing a notebook’s environment through sandboxing. The piece ends by examining the limitations of traditional linear notebooks and how Marimo addresses them.

Christopher discusses an article about how to store the configurations for your Python scripts and projects. Whether you’re managing resource handles to a database, deployment variables, or credentials to external services, you’ll need a way to save and load the details into your Python project. The piece compares saving configurations in several common file formats or through environment variables.

We also share several other articles and projects from the Python community, including a news roundup, the discourse between generative AI coding proponents and detractors, catching memory leaks with your test suite, epigrams on programming, a command line tool to check packages on PyPI, and a collection of string, file, and object utilities.

This episode is sponsored by Six Feet Up.

Topics:

00:00:00 – Introduction 00:02:44 – Python Release 3.14.0b2 00:03:09 – Django security releases issued: 5.2.2, 5.1.10, and 4.2.22 00:03:27 – PyBay 2025 00:03:43 – PyCon NL 2025 - Call for Proposals 00:04:05 – Django Forum: Supporting t-strings 00:04:44 – Ruff Users: What Rules Are You Using and What Are You Ignoring? 00:05:19 – My Shot at Real Python 00:06:03 – My AI Skeptic Friends Are All Nuts 00:10:06 – I Think I’m Done Thinking About genAI For Now 00:11:12 – AI Changes Everything 00:23:01 – Video Course Spotlight 00:24:14 – Configuration of Python Applications 00:29:15 – marimo: A Reactive, Reproducible Notebook 00:35:15 – Sponsor: Six Feet Up 00:36:02 – Catching memory leaks with your test suite 00:41:45 – Epigrams on Programming 00:46:54 – whatsonpypi: Check PyPI From the Command Line 00:48:18 – strif: String, File, and Object Utilities 00:49:44 – PyCoder’s Weekly - Submit a Link 00:50:13 – Thanks and goodbye

News:

Python Release 3.14.0b2 Django security releases issued: 5.2.2, 5.1.10, and 4.2.22 PyBay 2025 PyCon NL 2025 - Call for Proposals Django Forum: Supporting t-strings Ruff Users: What Rules Are You Using and What Are You Ignoring? My Shot at Real Python – Amanda has recently written her first article for Real Python and this post talks about her experience doing so. If you want to check out the article, it’s on Nested Loops.

Show Links:

My AI Skeptic Friends Are All Nuts I Think I’m Done Thinking About genAI For Now AI Changes Everything AI Blog Comparison - Armin Ronacher Configuration of Python Applications – This post talks about how to store configuration for your script and how and when to load the information into your program. marimo: A Reactive, Reproducible Notebook – Discover how marimo notebook simplifies coding with reactive updates, UI elements, and sandboxing for safe, sharable notebooks. Catching memory leaks with your test suite – “If you have a good test suite, you may be able to use pytest fixtures to identify memory and other resource leaks.”

Discussion:

Epigrams on Programming Alan Perlis - Wikipedia

Projects:

whatsonpypi: Check PyPI From the Command Line strif: String, File, and Object Utilities

Additional Links:

Episode #238: Charlie Marsh: Accelerating Python Tooling With Ruff and uv Episode #250: DjangoCon Europe 2025: Live Recording From Dublin Episode #236: Simon Willison: Using LLMs for Python Development GenAI Criticism and Moral Quandaries - Armin Ronacher Math support in Markdown - The GitHub Blog Quiz: marimo: A Reactive, Reproducible Notebook Episode #42: What Is Data Engineering and Researching 10 Million Jupyter Notebooks We Downloaded 10,000,000 Jupyter Notebooks From Github – This Is What We Learned Episode #230: marimo: Reactive Notebooks and Deployable Web Apps in Python Episode #501 - marimo - Reactive Notebooks for Python - Talk Python To Me Podcast Episode #24: Options for Packaging Your Python Application: Wheels, Docker, and More - Itamar Turner-Trauring Episode #128: Using a Memory Profiler in Python & What It Can Teach You Episode #172: Measuring Multiple Facets of Python Performance With Scalene PyCoder’s Weekly - Submit a Link

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