| Topic |
|---|
| Hashing |
| Distributed Systems |
| React |
| Python |
| Machine Learning |
| Data Structures |
| Big Data |
| Software Engineering |
| Mathematics |
| Javascript |
| Philosophical |
| Map Reduce |
| System Design |
- Consistent Hashing
- A plain english introduction to CAP Theorem
- Lecture Notes on Hash Tables 15-122 Principles of Imperative Computation
- Hash Tables—Theory and Practice
- Distributed Hash Tables, Part I
- System Design Primer
- You Can't Sacrifice Partition Tolerance
- Introduction to Architecting Systems for Scale
- Notes on Distributed Systems for Young Bloods
- Round Robin Databases
- HBase Architecture
- HDFS Architecture
- Event Sourcing
- Event sourcing, CQRS, stream processinghttp://andrewhfarmer.com/react-ajax-best-practices/ and Apache Kafka: What’s the Connection
- Sharding Pinterest: How we scaled our MySQL fleet
- Pros and Cons of using immutability with React.js
- 9 things every React.js beginner should know
- Webpack: The Missing Tutorial
- React Enlightenment
- React AJAX Best Practices
- A Guide For Building A React Redux CRUD App
- Building your second React.js App
- IMPLEMENTING A NEURAL NETWORK FROM SCRATCH IN PYTHON – AN INTRODUCTION
- Understanding the Bias Variance Tradeoff
- Neural Network Architectures
- Top-down learning path: Machine Learning for Software Engineers
- Machine Learning Course
- A Memory-Efficient Doubly Linked List
- CodeChef-Data Structures and Algorithms
- Binary Search Reconsidered
- Knapsack Problems
- WCIPeg
- Algorithms that Exploit State
- Dynamic Programming - Combination Sum Problem
- Coding Interview University
- Why Recursive Data Structures
- Principles of Algorithmic Problem Solving
- Competitive Programmers Handbook
- Algorithmic Mathematics
- Discrete Structures