Code Meets Finance
Learn Python, Rust, and DevOps for quantitative finance. Free tutorials with real, runnable code.
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Core Python for quant workflows — pandas, NumPy, and real financial data.
High-performance financial computing with Rust — speed without compromise.
Options pricing, risk models, portfolio theory, and interview prep for quant roles.
Docker, CI/CD, cloud deploys, and infrastructure for finance teams.
Latest Tutorials
Pairs Trading: Cointegration Strategy
Build a market-neutral strategy using cointegration in Python.
QuantDeep Learning for Financial Prediction
LSTMs, transformers, and neural networks for time-series forecasting.
PythonBuild a Simple Trading Bot in Python
Automate a basic trading strategy with live market data.
QuantVolatility Smiles and Surfaces
Why implied volatility varies across strikes and maturities.
DevOpsMonitoring and Observability
Prometheus, Grafana, alerting, and SLIs/SLOs/SLAs.
PythonWeb Scraping Financial Data
Scrape prices, news, and filings with requests and BeautifulSoup.
45+ tutorials · Real runnable code · Free forever
Who is this for?
Finance people learning to code
You know the domain. Now automate it with Python and Rust.
Developers learning finance
You can code. Learn the financial models and data that matter.
Quant career seekers
Interview prep, real-world projects, and the skills firms actually hire for.