Queueing theory: an introduction for software development

A collection of full-stack resources for programmers.

🎒 🚀 🎉 A list of interview questions. This repository is everything you need to prepare for your technical interview.

Pravega - Streaming as a new software defined storage primitive

Papers from the computer science community to read and discuss.

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

A minimal, idiomatic Scala interface for HTTP

Distributed storage for sequential data

All Algorithms implemented in Python

FoundationDB - the open source, distributed, transactional key-value store

xtext-xtend

The Ruby Programming Language

Next generation programming language, currently in development

Ballerina is a compiled, transactional, statically and strongly typed programming language with textual and graphical syntaxes.

Algorithms used in Competitive Programming

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

All Algorithms implemented in Java

A Scalable Concurrent Key-Value Map for Big Data Analytics

📓Solutions to Introduction to Algorithms

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

📚 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

A curated list of awesome resources for Graal, Truffle and related topics

Everything you need to know to get the job.

A curated list of awesome Machine Learning frameworks, libraries and software.

light weight, high performance, simple, reliable and persistent queue for Java applications

A fast log-structured key-value store.

How to create an OS from scratch

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

learn-by-doing course/tutorial for functional programming on scala