PyCoder’s Weekly

Issue #731: Visualize ML, Vector DBs, Type Checker Comparison, and More (April 21, 2026)

2026-04-21T19:30:00+00:00

#731 – APRIL 21, 2026
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Machine Learning Visualized

This is a series of Jupyter notebooks that help visualize the algorithms that are used in machine learning. Learn more about neural networks, regression, k-means clustering, and more.
GAVING HUNG

Vector Databases and Embeddings With ChromaDB

Learn how to use ChromaDB, an open-source vector database, to store embeddings and give context to large language models in Python.
REAL PYTHON course

Wallaby for Python runs Tests as you Type and Streams Results Next to Code, Plus AI Context

Wallaby brings pytest / unittest results, runtime values, coverage, errors, and time-travel debugging into VS Code, so you can fix Python faster and give Copilot, Cursor, or Claude the execution context they need to stop guessing. Try it free, now in beta →
WALLABY TEAM sponsor

Python Type Checker Comparison: Speed and Memory Usage

A benchmark comparison of speed and memory usage across Python type checkers including Pyrefly, Ty, Pyright, and Mypy.
AARON POLLACK

PEP 831: Frame Pointers Everywhere: Enabling System-Level Observability for Python (Draft)

This PEP proposes two things:
PYTHON.ORG

Discussions

Reverting the Incremental GC in Python 3.14 and 3.15

PYTHON.ORG

Articles & Tutorials

Reassessing the LLM Landscape & Summoning Ghosts

What are the current techniques being employed to improve the performance of LLM-based systems? How is the industry shifting from post-training towards context engineering and multi-agent orchestration? This week on the show, Jodie Burchell, data scientist and Python Advocacy Team Lead at JetBrains, returns to discuss the current AI coding landscape.
REAL PYTHON podcast

Security Best Practices Featuring `uv` and `pip`

This collection of security practices explains how to best use your package management tools to help avoid malicious packages. Example: implement a cool-down period; most malicious packages are found quickly, by not installing on the day of a release your chances of getting something bad go down.
GITHUB.COM/LIRANTAL

Beyond Basic RAG: Build Persistent AI Agents

Master next-gen AI with Python notebooks for agentic reasoning, memory engineering, and multi-agent orchestration. Scale apps using production-ready patterns for LangChain, LlamaIndex, and high-performance vector search. Explore & Star on GitHub →
ORACLE sponsor

The Economics of Software Teams

Subtitled “Why Most Engineering Organizations Are Flying Blind”, this article is a breakdown of what software development teams actually cost, what they need to generate to be financially viable, and why most organizations have no visibility into either number.
VIKTOR CESSAN

OWASP Top 10 (2025 List) for Python Devs

The OWASP Top 10 is a list of common security vulnerabilities in code, like SQL injection. The list has recently been updated and Talk Python interviews Tanya Janca to discuss all the big changes this time around.
TALK PYTHON podcast

Textual: An Intro to DOM Queries

The Textual TUI framework uses a tree structure to store all of the widgets on the page. This DOM is query-able, giving you the ability to find widgets on the fly in your code.
MIKE DRISCOLL

Reflecting on 5 Years as the Developer in Residence

Łukasz Langa is stepping down as the Python Software Foundation’s first CPython Developer in residence. This post talks about his experience there and everything accomplished.
PYTHON SOFTWARE FOUNDATION

Decoupling Your Business Logic From the Django ORM

Where should I keep my business logic? This is a perennial topic in Django. This article proposes a continuum of cases, each with increasing complexity.
CARLTON GIBSON

How to Add Features to a Python Project With Codex CLI

Learn how to use Codex CLI to add features to Python projects via the terminal. Master AI-powered coding without needing a browser or IDE plugins.
REAL PYTHON

PyPI Has Completed Its Second Audit

PyPI has completed its second external security audit. This post shows all the things found and what they’re doing about each of them.
MIKE FIEDLER

New Technical Governance: Request for Community Feedback

The Django Steering Council has proposed new governance mechanism and is looking for feedback from the community.
DJANGO SOFTWARE FOUNDATION

Projects & Code

django-modern-rest: REST With Types and Async Support

GITHUB.COM/WEMAKE-SERVICES

django-freeze: Convert Django Sites to Static Ones

GITHUB.COM/FABIOCACCAMO

spy: SPy the Compilable Python-Like Language

GITHUB.COM/SPYLANG

prettytable: Tabular Data in a Visually Appealing ASCII

GITHUB.COM/PRETTYTABLE

endcord: Feature Rich Discord TUI Client

GITHUB.COM/SPARKLOST

Events

Weekly Real Python Office Hours Q&A (Virtual)

April 22, 2026
REALPYTHON.COM

The Carpentries

April 22 to April 24, 2026
INSTATS.ORG

AgentCamp Amsterdam 2026

April 23, 2026
MEETUP.COM

North Bay Python 2026

April 25 to April 27, 2026
NORTHBAYPYTHON.ORG

Python Sheffield

April 28, 2026
GOOGLE.COM

Happy Pythoning!
This was PyCoder’s Weekly Issue #731.
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Issue #730: Typing Django, Dictionaries, pandas vs Polars, and More (April 14, 2026)

2026-04-14T19:30:00+00:00

#730 – APRIL 14, 2026
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Typing Your Django Project in 2026

Django was first released 10 years before Python standardized its type hints syntax. Because of this it’s not surprising that getting type hints to work in your Django project is not trivial.
ANŽE'S BLOG

Dictionaries in Python

Learn how dictionaries in Python work: create and modify key-value pairs using dict literals, the dict() constructor, built-in methods, and operators.
REAL PYTHON

Secure Your Python MCP Servers With Auth and Access Control

Use the Descope Python MCP SDK to easily secure your MCP server with user auth, consent, OAuth 2.1 with PKCE, MCP client registration, scope-based access at the tool level, and more →
DESCOPE sponsor

pandas vs Polars: Backed by a 10 Million Row Study

A benchmark study of 10M rows comparing Pandas vs. Polars. Explore the architectural shifts, lazy execution, and Rust-based speed of modern data tools.
QUBRICA.COM • Shared by Rakshath

Python 3.15.0a8, 3.14.4 and 3.13.13 Released

PYTHON.ORG

PyCon US 2026 Schedule Is Live

PYCON US

Django Security Releases: 6.0.4, 5.2.13, and 4.2.30

DJANGO SOFTWARE FOUNDATION

DjangoCon Europe 2027 Call for Organizers

DJANGO SOFTWARE FOUNDATION

Articles & Tutorials

Switching All My Packages to PyPI Trusted Publishing

Matthias maintains several Python packages including the django-debug-toolbar. To help protect these projects from malicious release uploads, he’s switching to the PyPI Trusted Publishing mechanism. This article explains why and what it protects.
MATTHIAS KESTENHOLZ

Cutting Python Web App Memory Over 31%

Michael reduced Python web app memory by 3.2 GB using async workers, import isolation, the Raw+DC database pattern, and disk caching. The article includes detailed before and after numbers for each technique.
MICHAEL KENNEDY

B2B AI Agent Auth Support

Your users are asking if they can connect their AI agent to your product, but you want to make sure they can do it safely and securely. PropelAuth makes that possible →
PROPELAUTH sponsor

Understanding FSMs by Building One From Scratch

After having worked with the transitions library for a while, Bob wondered how Finite State Machines work under the hood. This article shows you how he built one from scratch, modelling GitHub pull requests.
BOB BELDERBOS • Shared by Bob Belderbos

Python for Java Developers

The article outlines how Java developers can transition to Python by building on their existing object-oriented knowledge while focusing on the key differences between the two languages.
NIKOS VAGGALIS • Shared by Andrew Solomon

Why Aren’t We `uv` Yet?

Reading articles on the net you’d think that uv was all the things. It is popular but not as much as you’d think. This article looks at the data.
ALEX YANKOV

Using Loguru to Simplify Python Logging

Learn how to use Loguru for simpler Python logging, from zero-config setup and custom formats to file rotation, retention, and adding context.
REAL PYTHON course

Quiz: Using Loguru to Simplify Python Logging

REAL PYTHON

SQLite Features You Didn’t Know It Had

SQLite has evolved far beyond a simple embedded database. Explore modern features like JSON, FTS5, window functions, strict tables, and more.
SLICKER.ME

Using a `~/.pdbrc` File to Customize the Python Debugger

You can customize the Python debugger (PDB) by creating custom aliases within a .pdbrc file in your home directory. Read on to learn how.
TREY HUNNER

Python: Introducing Profiling-Explorer

Adam has added another project to his list of profiling tools, this one is for examining data from Python’s built-in profilers.
ADAM JOHNSON

Projects & Code

dj-signals-panel: View Django Signals in the Admin

GITHUB.COM/YASSI

form-filler: Generate Bookmarklets That Fill Web Forms

GITHUB.COM/HAMATTI

great-docs: Documentation Site Generator for Python Packages

GITHUB.COM/POSIT-DEV • Shared by Richard Iannone

rsloop: An Event Loop for Asyncio Written in Rust

GITHUB.COM/RUSTEDBYTES • Shared by Yehor Smoliakov

S3 Commander: Python Based AWS S3 Browser

GITHUB.COM/ROMANZDK • Shared by Roman

Events

DjangoCon Europe 2026

April 15 to April 20, 2026
DJANGOCON.EU

Weekly Real Python Office Hours Q&A (Virtual)

April 15, 2026
REALPYTHON.COM

PyData Bristol Meetup

April 16, 2026
MEETUP.COM

PyLadies Dublin

April 16, 2026
PYLADIES.COM

PyTexas 2026

April 17 to April 20, 2026
PYTEXAS.ORG

Chattanooga Python User Group

April 17 to April 18, 2026
MEETUP.COM

PyCon Austria 2026

April 19 to April 21, 2026
PYCON.AT

Happy Pythoning!
This was PyCoder’s Weekly Issue #730.
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Issue #729: NumPy Music, Ollama, Iterables, and More (April 7, 2026)

2026-04-07T19:30:00+00:00

#729 – APRIL 7, 2026
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NumPy as Synth Engine

Kenneth has “recorded” a song in a Python script. The catch? No sampling, no recording, no pre-recorded sound. Everything was done through generating wave functions in NumPy. Learn how to become a mathematical musician.
KENNETH REITZ

How to Use Ollama to Run Large Language Models Locally

Learn how to use Ollama to run large language models locally. Install it, pull models, and start chatting from your terminal without needing API keys.
REAL PYTHON

Ship AI Agents With Accurate, Fresh Web Search Data

Stop building scrapers just to feed your AI app web search data. SerpApi returns structured JSON from Google and 100+ search engines via a simple GET request. No proxy management, no CAPTCHAs. Power product research, price tracking, or agentic search in minutes. Used by Shopify, NVIDIA, and Uber →
SERPAPI sponsor

Indexable Iterables

Learn how objects are automatically iterable if you implement integer indexing.
RODRIGO GIRÃO SERRÃO

Claude Code for Python Developers (Live Course)

“This is one of the best training sessions I’ve joined in the last year across multiple platforms.” Two-day course where you build a complete Python project with an AI agent in your terminal. Next session April 11–12.
REAL PYTHON

PEP 803: `"abi3t"`: Stable ABI for Free-Threaded Builds (Accepted)

PYTHON.ORG

PEP 829: Structured Startup Configuration via .site.toml Files (Added)

PYTHON.ORG

Articles & Tutorials

Fire and Forget at Textual

In this follow up to a previous article (Fire and forget (or never) with Python’s asyncio, Michael discusses a similar article by Will McGugan as it relates to Textual. He found the problematic pattern in over 500K GitHub files.
MICHAEL KENNEDY'

pixi: One Package Manager for Python Libraries

uv is great for pure Python projects, but it can’t install compiled system libraries like GDAL or CUDA. pixi fills that gap by managing both PyPI and conda-forge packages in one tool, with fast resolution, automatic lockfiles, and project-level environments.
CODECUT.AI • Shared by Khuyen Tran

Dignified Python: Pytest for Agent-Generated Code

Learn how to define clear pytest patterns for agent-generated tests: separate fast unit vs integration, use fakes, constrain generation, and avoid brittle patterns to keep tests reliable and maintainable →
DAGSTER LABS sponsor

Learning Rust Made Me a Better Python Developer

Bob thinks that learning Rust made him a better Python developer. Not because Rust is better, but because it made him think differently about how he has been writing Python. The compiler forced him to confront things he’d been ignoring.
BOB BELDERBOS • Shared by Bob Belderbos

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