6 Exceptional GitHub Repos for All Developers — Part 1
Bookmark it…It will help you immensely

Github is the #1 platform when it comes sharing code, technologies, frameworks, information, free resources etc. In this post, I’ll be covering 6 exceptional GitHub Repos which can be used by any kind of developer or wannabe developer. ( Info credits and thanks: SmartCoder).
Some of the other best Series —
Data Science and Machine Learning Research ( papers) Simplified **
100 days : Your Data Science and Machine Learning Degree Series with projects
Complete Data Visualization and Pre-processing Series with projects
Exceptional Github Repos — Part 1
Exceptional Github Repos — Part 2
Tech Newsletter —
If you are interested, you can join my newsletter through which I send tech interview tips, techniques, patterns, hacks — Software Development, ML, Data Science, Startups and Technology projects to more than 30K readers. You can subscribe to Tech Brew :
Github —
You can find the Part 2 of exceptional GitHub repo series in the link below :
Here we go —
1. Coding Interview University
GitHub stars: 146,000
Who is it for : Anyone who is yearning to get into tech industry especially in the major tech companies or switching careers
This repository is a multi-month study plan to become a software engineer for a large company like Amazon, Google, or Facebook. It is meant for people who are new to software engineering (where CS knowledge is needed) and also offers advice on how to study to become a reliability engineer or operations engineer.
The author originally created this repo as a personal to-do list to keep track of his learning process. After studying eight to 12 hours a day for several months, he finally got his dream job at Amazon as a software development engineer.
It covers most important concepts in data structures and algorithms like —
- Arrays, Linked Lists, Stack, Queue, Hash table, Binary search, Bitwise operations, Trees
- Binary search trees: BSTs, Heap / Priority Queue / Binary Heap, balanced search trees , traversals: preorder, inorder, postorder, BFS, DFS, Sorting, Selection, insertion, Heapsort, Quicksort, Merge sort, Graphs, Traversals: BFS, DFS etc
- Recursion, Dynamic Programming, Object-Oriented Programming, System Design, Scalability, Data Handling
- Coding Question Practice, Coding exercises/challenges etc
Coding Interview University will help you prepare for technical interviews at companies like Google, Microsoft, Facebook, or similar. Make the best out of it.
Projects Videos —
All the projects, data structures, SQL, algorithms, system design, Data Science and ML , Data Analytics, Data Engineering, , Implemented Data Science and ML projects, Implemented Data Engineering Projects, Implemented Deep Learning Projects, Implemented Machine Learning Ops Projects, Implemented Time Series Analysis and Forecasting Projects, Implemented Applied Machine Learning Projects, Implemented Tensorflow and Keras Projects, Implemented PyTorch Projects, Implemented Scikit Learn Projects, Implemented Big Data Projects, Implemented Cloud Machine Learning Projects, Implemented Neural Networks Projects, Implemented OpenCV Projects,Complete ML Research Papers Summarized, Implemented Data Analytics projects, Implemented Data Visualization Projects, Implemented Data Mining Projects, Implemented Natural Leaning Processing Projects, MLOps and Deep Learning, Applied Machine Learning with Projects Series, PyTorch with Projects Series, Tensorflow and Keras with Projects Series, Scikit Learn Series with Projects, Time Series Analysis and Forecasting with Projects Series, ML System Design Case Studies Series videos will be published on our youtube channel ( just launched).
Subscribe today!
Highly Recommended Data Science and Machine Learning Courses that you MUST take ( with certificate) —
2. System Design Primer
GitHub stars: 115,000
Who is it for : Like Coding Interview University, this repo is very helpful when it comes to preparing for system design interviews especially for novice engineers planning to get into tech industry
This is a great repository for software engineers that will help you learn how to design large-scale systems. That will then help you become a better engineer. The repo provides an organized collection of resources for this broad topic. Because system design often is a required component of the technical interview process at many companies, this repository can also help you to prepare for those interviews with a study guide, advice on how to approach an interview, interview questions with solutions, Anki flashcard sets for interactive learning, and interactive coding challenges. Covers important topics like —
- Performance vs scalability
- Latency vs throughput
- Availability vs consistency
- CAP theorem
- CP — consistency and partition tolerance
- AP — availability and partition tolerance
- Consistency patterns
- Weak consistency, Eventual consistency, Strong consistency
- Availability patterns
- Fail-over
- Replication
- Domain name system
- Content delivery network
- Push CDNs
- Pull CDNs
- Load balancer
- Layer 4 load balancing
- Layer 7 load balancing
- Horizontal scaling
- Reverse proxy (web server)
- Load balancer vs reverse proxy
- Application layer
- Microservices
- Service discovery
- Database
- Relational database management system (RDBMS)
- Master-slave replication
- Master-master replication
- Sharding
- SQL tuning etc
3. Public APIs
GitHub stars: 104,000
Who is it for : Everyone
This is really an extensive collection. Public APIs is a great list of free APIs that you can use for your projects and applications. It covers various topics such as business, anime, animals, news, finance, games, and more.
There are APIs like cats or dogs APIs that give you pictures of…cats or dogs. But there are also more useful ones like the Gmail API or the Google Analytics API.
4. Free Programming Books
GitHub stars: 168,000
Who is it for : Everyone — novice to expert
Free Programming Books, is available in many different languages and contains sections for free online courses, interactive programming resources, problem sets and competitive programming, and podcasts and programming playgrounds.
And that really is an awesome collection of programming books.
5. The Algorithms — Python
GitHub stars : 102,000
Who is it for : Everyone
Are you looking for implementations of top algorithms used in computer science in python? If so, this is the place where you will get all the algorithms well implemented. Apart from algorithms, you can also find neural network, data structures, machine learning, linear algebra implementation.
This github repo is indeed a gold mine.
6. Tensorflow
GitHub Stars : 138,000
Who is it for : Data Scientists, ML engineers, AI-ML enthusiasts
Developed by Google Brain team and used at Google, this repo is absolutely amazing. Who doesn’t know Tensorflow? Especially if you are working as a data scientist/ML engineer then this repo is “must-see” as it has an extensive collection of Tensorflow tutorials, codes, notebooks etc. In short It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. Covers topic like —
- Machine Learning with TensorFlow
- TensorFlow Codelabs
Thanks for Reading. Keep learning and Coding :)






