Satyam jha's starred repositories
lets-build-express
This repo contains chapters which explains how one can build a minimal express library.
Competitive-programming-library
Code library for competitive programming purposes.
leetcode_company_wise_questions
This is a repository containing the list of company wise questions available on leetcode premium
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
system-design-questions
Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
clean-code-javascript
:bathtub: Clean Code concepts adapted for JavaScript
nodebestpractices
:white_check_mark: The Node.js best practices list (July 2024)
Clone-Wars
100+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.
90DaysOfDevOps
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 DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
learnGitBranching
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
papers-we-love
Papers from the computer science community to read and discuss.
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Awesome-Hacking
A collection of various awesome lists for hackers, pentesters and security researchers
You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Tech-Career-Growth-Learning-Resources-And-Roadmaps
A curated, high-quality list of resources to learn any pillar of tech you want