Julia Programming Language
High-performance, dynamic programming for scientific computing.
The Julia language, designed specifically to meet the demanding needs of numerical and scientific computing, is officially described on julialang.org. You will also find download links for major operating systems there.
🚀 Quick Start: A brief introduction I wrote is available as slides, as a PDF document, and as the original Jupyter notebook.
📈 Example: stock_analysis.jl (notebook) downloads a stock's price history from Yahoo Finance and plots its simple returns, total returns (with dividends) and log returns.
📈 Example: stock_analysis.jl (notebook) downloads a stock's price history from Yahoo Finance and plots its simple returns, total returns (with dividends) and log returns.
📦 Co-authored Official Packages
- Enlsip.jl : A Julia package to solve nonlinear least-squares problems subject to general nonlinear constraints.
- RandomDataStreams.jl : A package for generating and managing random data streams efficiently.
📈 Economics & Finance
- Quantitative Economics with Julia : A complete open-source textbook and lecture series for economic modeling.
- EconDatasets.jl : Economic datasets access for the Julia language.
⚙️ Simulation
- ConcurrentSim.jl : A discrete-event, process-oriented simulation framework (formerly known as SimJulia).