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

Python GUI Builder - PyUiBuilder

A web based drag and drop GUI builder for python. Helps build GUIs in tkinter and customtk and generates the code for it

https://pyuibuilder.com

Conf42 Python 2025

A series of presentations and talks from the Conf42 Python 2025 conference.

https://www.youtube.com/playlist?list=PLIuxSyKxlQrBo176Is4wP2F6UCB0yEkWO

Use any Python AI agent framework with free GitHub Models

This post highlights how to use GitHub Models, which offers free, high-quality AI models, with popular Python AI frameworks by leveraging its OpenAI-compatible endpoints. It provides code examples for frameworks like AutoGen, LangGraph, and Llamaindex, showing how to connect them to GitHub Models using an API key and base URL.

https://blog.pamelafox.org/2025/04/how-to-use-any-python-ai-agent.html

pdf-craft

PDF craft can convert PDF files into various other formats. This project will focus on processing PDF files of scanned books.

https://github.com/oomol-lab/pdf-craft

Jupyter’s Architecture Unpacked

This video explores the inner workings of Jupyter with contributors Afshin Darian and Sylvain Corlay, diving into its architecture and execution protocols. It also discusses Jupyter's evolution from a notebook interface to a powerful framework for interactive, collaborative applications.

https://www.youtube.com/watch?v=_-zhMzwpSOQ

MineWorld

A Real-time interactive world model on Minecraft

https://github.com/microsoft/mineworld

14 Advanced Python Features

This post highlights 14 advanced Python features that go beyond basic syntax, focusing on concepts like metaprogramming, decorators, and optimization techniques. The article targets intermediate-to-advanced developers seeking to deepen their understanding of Python's powerful but less commonly used capabilities.

https://blog.edward-li.com/tech/advanced-python-features/

mcp-use

mcp-use is the easiest way to interact with mcp servers with custom agents.

https://github.com/mcp-use/mcp-use

DeepMath

A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

https://github.com/zwhe99/DeepMath