Ultimate modern intro to web scraping using Python. How to scrape data using HTTP or headless browsers, parse it using AI and scale and deploy. This comprehensive guide covers everything a user needs to know about web scraping using Python, detailing essential tools, techniques, best practices, and ethical considerations.

A series of geospatial tutorials in the form of self-contained notebooks with step-by-step explanations and datasets. Features topics such as: GeoPandas, XArray, Dask, XEE (XArray + Google Earth Engine), Segment Geospatial, Web APIs.

A tiny example Autograd engine

Cuda implementation of Micrograd

MiniTorch is a diy teaching library for machine learning engineers who wish to learn about the internal concepts underlying deep learning systems. It is a pure Python re-implementation of the Torch API designed to be simple, easy-to-read, tested, and incremental. The final library can run Torch code.

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

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. - mlabonne/llm-course

All modern computers(laptops, phones, pc master race rgb monsters, etc) have somewhat similar components: Processor, Memory, Video Card, Disk and USB controller, WiFi card etc. Some of them are in one single chip and you cant even see them anymore, but they are there. For example there are chips that have Processor and Video Card together. The term for processor is actually CPU - Central processing unit, but we called it processors when we were kids and it kind of make sense, since it processes stuff.

Python is a programming language that lets you work quickly and integrate systems more effectively.