A single Python script that prepares reports on environments and reports the differences between two environments.

A feature-rich Python text case conversion library. Features:

• Text case conversion: Convert strings between various text cases (e.g., snake_case, kebab-case, camelCase, etc.).
• Extensible Design: Easily extend the library with custom cases and boundaries.
• Acronym Handling: Properly detects and formats acronyms in strings (as in HTTPRequest).
• Non-ASCII Support: Handles non-ASCII characters seamlessly (no inferences on the input language itself is made).
• 100% Test Coverage: Comprehensive tests ensure reliability and correctness.
• Well-Documented: Clean documentation with usage examples for easy understanding.
• Performant: Efficient implementation without the use of regular expressions.
• Zero Dependencies: The library has no external dependencies, making it lightweight and easy to integrate.

A course by Andrej Karpathy on building neural networks, from scratch, in code.

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.

piglei’s blog

I have encountered that there are mainly three types of blogs/videos/tutorials talking about transformers

a scalable data profiler. Contribute to manzt/quak development by creating an account on GitHub.

Managing the timing differences between script execution and the varying speeds at which web pages load is crucial.In this Selenium guide, we focus on the nuanced strategies of waiting for pages or elements to load.