🔗 Some useful websites for programmers.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

A curated list of the most impressive AI papers

Several Coding Patterns for Solving Data Structures and Algorithms Problems during Interviews

A book series on JavaScript. @YDKJS on twitter.

List of books, blogs, newsletters and people!

All the resources you need to get to Senior Engineer and beyond

🔥Highlighting the top ML papers every week.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references und…

Papers from the computer science community to read and discuss.

Publicly shared solutions to Coding Challenges

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Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

A curated list of engineering blogs

A Data Structure Algorithms Low Level Design and High Level Design collection of resources.

These are the best resources for System Design on the Internet

Learn how to design systems at scale and prepare for system design interviews

Short code snippets for all your development needs

An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"

Everything you need to know to get the job.

💯 Curated coding interview preparation materials for busy software engineers

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

A listing of questions that could potentially be asked for a python job listing

Beginners book on Python - start here if you don't know programming

Jupyter notebooks for teaching/learning Python 3

Python Koans - Learn Python through TDD

Practical Python Programming (course by @dabeaz)

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

An opinionated list of awesome Python frameworks, libraries, software and resources.