python-alis 0.1.1

A collection of algorithms for scalable data science

ALIS: Algorithmic Library for Scalability

ALIS: Algorithmic Library for Scalability is a Python package and a good accompanying reference for Leskovec, Rajaraman, and Ullman's Mining of Massive Datasets. This book currently covers topics from Chapters 3 through 5, and Chapter 10 of the reference.

This book provides:

1. Additional mathematical and code examples
2. Additional exercises both theoretical and practical
3. Re-useable API for scalable data mining

ALIS is inspired by the Dive into Deep Learning interactive book with code, math, and discussion.

Installation

ALIS was built using a Python version of 3.8.12. To install the package, perform the following steps:

1. Clone the alis github repository

https://github.com/phdinds-aim/alis.git

2. Install the environment or the requirements file via conda or pip

Installation of required libraries via pip

pip install -r requirements.txt

Installation of required libraries via conda

conda env create -f environment.yml
conda activate alis

3. Install the alis package as an editable source.

pip install -e .

Done! 🎉 The alis package is now installed in your machine.

Authors

ALIS is proudly made by the Asian Institute of Management's PhDinDS batch 2024

• Leodegario Lorenzo II
• Michael Dorosan
• Joseph Christian Noel
• Antonio Briza
• Ranzivelle Marianne Roxas-Villanueva

with supervision of our Professor Christian Alis, PhD.