Python 3.14 | Upcoming Changes

This video discusses the upcoming features, performance improvements, and other changes in Python 3.14, including the tail call interpreter, JIT compiler, and free threading. It also covers minor updates and deprecations, providing a comprehensive overview of the new release.

https://www.youtube.com/watch?v=hzys1_xmLPc

How to Extract GPS Coordinates from a Photo: The USAID Mystery

This post explains how to extract GPS coordinates from a photo using Python and plot them on a map, using libraries like Pillow, ExifRead, and Folium. It challenges the reader to analyze the location of a USAID nutrition pack to determine if the aid is being distributed appropriately.

https://www.marsja.se/how-to-extract-gps-coordinates-from-a-photo-the-usaid-mystery/

open-rag-eval

Evaluate and improve your Retrieval-Augmented Generation (RAG) pipelines with open-rag-eval, an open-source Python evaluation toolkit.

https://github.com/vectara/open-rag-eval

Maps with Django: GeoDjango, Pillow & GPS

A quick-start guide to create a web map with images, using the Python-based Django web framework, leveraging its GeoDjango module, and Pillow, the Python imaging library, to extract GPS information from images.

https://www.paulox.net/2025/04/11/maps-with-django-part-3-geodjango-pillow-and-gps/

mcp-scan

A security scanning tool for MCP servers.

https://github.com/invariantlabs-ai/mcp-scan

Vscode Vs Cursor: Which One Should You Use In 2025?

Compare VS Code and Cursor in 2025 to find the best code editor for speed, AI features, and productivity.

https://keploy.io/blog/community/vscode-vs-cursor

IntentKit

An open and fair framework for everyone to build AI agents equipped with powerful skills. Launch your agent, improve the world, your wallet, or both!

https://github.com/crestalnetwork/intentkit

Train Your Own LLM – Tutorial

This video offers a beginner-friendly, step-by-step guide to training a large language model from scratch. It covers essential topics such as data preparation, tokenization, model selection, and fine-tuning, providing practical insights for those interested in customizing LLMs for specific applications.

https://www.youtube.com/watch?v=9Ge0sMm65jo

zev

A simple CLI to help you remember commands.

https://github.com/dtnewman/zev

Python Tutorial: How to rate limit async requests to credit-based APIs

Easily manage rate limits based on a number of credits or computational units per time unit, or cups

https://dev.to/elnaril/python-tutorial-how-to-rate-limit-async-requests-to-credit-based-apis-ahj

Data Engineering with Python and AI/LLMs – Data Loading Tutorial

This course teaches robust data ingestion techniques using Python, focusing on API extraction, schema management, and scalable workflows. It’s designed to help engineers build reliable pipelines with modern tools like dlt, covering incremental loading, data normalization, orchestration, and even LLM-assisted automation.

https://www.youtube.com/watch?v=T23Bs75F7ZQ

smartfunc

Turn docstrings into LLM-functions.

https://github.com/koaning/smartfunc

Git Branching Explained – Merging, Rebasing & More (FastAPI Example)

This video explains Git concepts such as merging, rebasing, and fast-forwarding through a practical FastAPI project example, using GitKraken to visualize and clarify these workflows. The video also compares GitFlow and trunk-based development, discussing their advantages and best use cases for managing branches and releases effectively.

https://www.youtube.com/watch?v=viAZQjs5lHk