{"repo":"pi-2r/Quant-Science","free":true,"listed":false,"github":"https://github.com/pi-2r/Quant-Science","clone":"git clone https://github.com/pi-2r/Quant-Science.git","description":"Python Quant Stack","language":"Jupyter Notebook","stars":13,"topics":["docker","interactivebrokers","numpy","openbb","pand","pyfolio","python","quantitative-finance","zipline"],"license":null,"category":"trading","readme_excerpt":"Quant Stack Project This repository contains a quantitative analysis environment setup for data science and machine learning projects. The project includes configuration files for creating a consistent development environment and running Jupyter Lab. This stack is used for courses of https://quantscience.io/. Prerequisites Docker Make (optional, for using the provided makefile commands) Quick Start Clone this repository: Build the Docker image: Run the container: Note for Mac (Apple Silicon) users: If you are using a Mac with Apple Silicon (M1/M2), you may encounter compatibility issues with some Python packages. To avoid these problems, run Docker with the following option: Node.js is required in the container for the Jupyter Copilot extension to work. It is automatically installed in the provided Dockerfile. If you modify the Dockerfile, make sure to keep the Node.js installation ( apt-get install -y nodejs npm ). If you use the makefile, you can edit the makefile to add the option --platform linux/amd64 to the Docker run command. By default, the Jupyter password is set to \"password\". You can customize it by running: Access JupyterLab in your browser at: http://localhost:8888 Environment Details This environment is built on Anaconda with Python 3.9.13 and includes the following key libraries: Core Libraries NumPy 1.23.4 Pandas SciPy StatsModels scikit-learn Financial Libraries OpenBB QuantLib riskfolio-lib vectorbt ta-lib zipline-reloaded pyfolio-reloaded alphalens-reloaded","default_branch":null,"files":null,"tree":[],"storefront":"/r/pi-2r","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/pi-2r/Quant-Science/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}