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150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Quantitative analysis, strategies and backtests
A curated list of practical financial machine learning tools and applications.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
A simple, maximally extensible, dependency minimized framework for building modern Ethereum dApps
A JavaScript / TypeScript / Python / C# / PHP / Go cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
A curated list of awesome parallel computing resources
Slides and other materials from CppCon 2019
Compile Time Regular Expression in C++
Python best practices guidebook, written for humans.
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
Libtrading, an ultra low-latency trading connectivity library for C and C++.
A complete computer science study plan to become a software engineer.
A collection of design patterns/idioms in Python
C++ Syntax, Data Structures, and Algorithms Cheat Sheet
A middle-to-high level open source algorithm book designed with coding interview at heart!
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Literature references for “Designing Data-Intensive Applications”
Range library for C++14/17/20, basis for C++20's std::ranges