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Master programming by recreating your favorite technologies from scratch.
😎 Awesome lists about all kinds of interesting topics
A complete computer science study plan to become a software engineer.
Curated list of project-based tutorials
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
21 Lessons, Get Started Building with Generative AI
24 Lessons, 12 Weeks, Get Started as a Web Developer
Design patterns implemented in Java
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
🔗 Some useful websites for programmers.
List of Computer Science courses with video lectures.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days, follow your own pace. These videos m…
A curated list of awesome frameworks, libraries and software for the Java programming language.
12 Lessons to Get Started Building AI Agents
A curated list of free courses with certifications. Also available at https://free-certifications.com/
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things Dev…
📝 An awesome Data Science repository to learn and apply for real world problems.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Neural Networks: Zero to Hero
DevOps Roadmap for 2025. with learning resources
List of Data Science Cheatsheets to rule the world
Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
DevOps resources - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.