diego-utils 0.1.0

A package with useful data science functions I have developed and useful guidance.

🧰 diego-utils

The diego-utils package is a Python library with some utility functions that I find useful for data science and econometrics. It is also a place for me to try and formalise some code built across different projects taht I think might be useful in the future.

📋 Prerequisites

This package is requires a Python version between 3.11 and 3.13. It uses setup.py, setup.cfg, and pyproject.toml for dependency management and packaging.

🛫 Set Up

Install with PyPI

The faster and easier way to install diego-utils in using PyPI. From your terminal just run:

pip install diego-utils

Install through Cloning the repository

Alternatively, diego-utils can also be installed by first cloning the repository:

git clone https://github.com/diego-lda/diego-utils.git

Then navigating into the home directory and running:

pip install .

🗂️ How the Project is Organised

The package has several modules, which split the functionality into themes:

• metrics: These are econometrics functions, to help with the analysis of data.
• evaluate: These are evaluation functions, designed to monitor a pipelines performance.
• handle: These are data handling functions, useful in data manipulation and transformation.

📖 Documentation and Further Information

The documentation is automatically generated using GitHub Actions and MkDocs. For an in-depth understanding of diego-utils, how to contribute to rdsa-utils, and more, please refer to the MkDocs-generated documentation.

🛡️ Licence

Unless stated otherwise, the codebase is released under the MIT License. This covers both the codebase and any sample code in the documentation.