Quant prep resources/logs

Guide on how to prepare for quant trading roles out of college

Python toolkit for quantitative finance

Research in investment finance with Python Notebooks

Top training materials in quantitative finance

Learn System Design concepts and prepare for interviews using free resources.

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Courses, Articles and many more which can help beginners or professionals.

Quantitative Interview Preparation Guide, updated version here ==>

Official Python Package for Algorithmic Trading APIs powered by AlgoBulls

Quant/Algorithm trading resources with an emphasis on Machine Learning

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Machine learning models to predict realtime financial market data provided by Jane Street

Open sourced research notebooks by the QuantConnect team.

Quantitative analysis, strategies and backtests

Quantitative Finance tools

Sci-Fi worth consuming

Learn how to design systems at scale and prepare for system design interviews

A simple framework for mobile system design interviews

Practical concurrency guide in Go, communication by channels, patterns

These are the best resources for System Design on the Internet

Curated list of Go design patterns, recipes and idioms

DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.

DevOps resources - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP

At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.