Python Dependency Management for Finance Projects

A repository containing Python dependency requirements primarily for finance-related projects. This repo centralizes and manages Python package versions to ensure reproducibility and consistency across environments.

Features

• Comprehensive list of Python dependencies pinned to specific versions.
• Focus on finance and geospatial libraries.
• Supports integration with Google Cloud services and Jupyter environments.

Tech Stack

• Python packages for finance, data processing, and geospatial analysis.
• Libraries include Flask, geopandas, google-cloud SDKs, Jupyter ecosystem, and more.

Getting Started

Clone the repository:

git clone https://github.com/justin-napolitano/python_reqs.git
cd python_reqs

Install dependencies listed in the requirements file:

pip install -r finance/requirements.txt

Project Structure

python_reqs/
└── finance/
    └── requirements.txt  # Pinned Python dependencies for finance-related projects

• finance/requirements.txt: Contains a curated list of Python packages with exact versions, covering data analysis, geospatial processing, cloud integration, and visualization.

Future Work / Roadmap

• Expand requirements files for other domains or projects.
• Add scripts or tooling to automate environment setup.
• Include documentation on usage scenarios for the requirements.
• Version control and dependency update automation.

Note: This repository currently only contains a requirements file under a finance directory. Additional context or code may be added in the future.