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MedKit MedKit is a high-performance, unified SDK that transforms fragmented medical APIs into a single, programmable platform. It provides a clean interface for OpenFDA, PubMed, and ClinicalTrials.gov, augmented with a clinical intelligence layer and relationship mapping. https://github.com/interestng/medkit

Python 3.12.13, 3.11.15 and 3.10.20 are now available! New security releases for 3.10, 3.11 and 3.12 are now available. (As these Python versions are now in security-fix-only mode, these are source-only releases, and there is no pre-set release cadence.) https://blog.python.org/2026/03/python-31213-31115-31020/

Update on array API adoption in scikit-learn The article explains how scikit-learn is adopting the Python Array API standard, allowing machine-learning code to run on different array libraries (NumPy, PyTorch, CuPy) without rewriting algorithms. This enables the same scikit-learn models to automatically leverage accelerators like GPUs and improves interoperability across the scientific Python ecosystem. https://labs.quansight.org/blog/array-api-scikit-learn-2026

Python Hub Weekly Digest for 2026-03-08 https://pythonhub.dev/digest/2026-03-08/

Validating data with pointblank in python One of the most common tasks of any organization is reviewing data to ensure that it is accurate and does not contain errors. Commonly, this is done by producing graphs or summary information like a median or mean and confirming that it looks reasonable. Pointblank is a newer tool that allows you to really dig into a dataset and task assumptions in a robust and reproducible manner. https://www.markpitblado.me/blog/validating-data-with-pointblank-in-python

Timber – Ollama for classical ML models, 336x faster than Python https://github.com/kossisoroyce/timber

Properties vs Methods in Python: What Your Code Is Promising The video explains when to use a property versus a method in Python, highlighting how each communicates different expectations around cost, side effects, and behavior. It also argues that async properties are typically a design smell and shows how to keep asynchronous work explicit while maintaining clean object design. https://www.youtube.com/watch?v=wHLZ_uTrCYA

ai-functions Python functions powered by AI agents - with runtime post-conditions for reliable agentic workflows. https://github.com/strands-labs/ai-functions

Capturing Plots in R and Python: A Tale of Two Architectures This post explains how plot capture works differently in Python and R: in Python (especially Jupyter) all figure output goes through a single display system that makes automatic capture reliable, whereas in R the graphics architecture has no central display layer so capturing plots is harder and often requires explicit publishing. It contrasts the architectural reasons behind these diffe... https://blog.gofigr.io/posts/capturing-plots-in-r-and-python

taylorwilsdon / google_workspace_mcp Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool https://github.com/taylorwilsdon/google_workspace_mcp

CLI subcommands with lazy imports The post explains that Python 3.15’s new lazy imports feature is great for CLI tools, but naïve argparse subcommand patterns accidentally force all lazy imports to execute early, negating the benefit. It then shows two simple patterns that preserve laziness for subcommands: dispatching with a match statement, or wrapping lazy-imported callables in lambdas so they are only reified when th... https://snarky.ca/subcommands-with-lazy-imports/

Does it still make sense to learn python or any programming language in 2026 https://www.reddit.com/r/learnpython/comments/1ritmiw/does_it_still_make_sense_to_learn_python_or_any/

WSE Rust-powered WebSocket engine for Python. Up to 14M msg/s JSON, 30M msgpack/zlib fan-in, 2.1M del/s fan-out, zero-GIL JWT, E2E encryption. https://github.com/silvermpx/wse

iNTERCEPT A free and open-source platform that unites the best signal intelligence tools into a single, accessible interface. https://github.com/smittix/intercept

github / awesome-copilot Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot. https://github.com/github/awesome-copilot

Rendering 18,000 videos in real-time with Python Learn how the author used game engine tech to solve a video streaming problem. https://madebymohammed.com/pysaic

OAUTH on client-side with Python An overview of OAUTH in non-web apps and the general data-flow of an OAUTH Client. https://jakabszilard.work/posts/oauth-in-python

Python Essentials for AI Agents – Tutorial This Python course will help you master the technical stack behind autonomous intelligence. This course is designed to take you from the core syntax of Python through the complexities of data handling and API integration, culminating in the deployment of sophisticated Large Language Models. You will learn to write code and to architect systems that can reason, use tools, and solve real-w... https://www.youtube.com/watch?v=UsfpzxZNsPo

dj-control-room A centralized dashboard for managing Django admin panels. https://github.com/yassi/dj-control-room