Pythagoras

Planet-scale distributed computing in Python.

What is it?

Pythagoras is an easy-to-use framework for cost-efficient
massive algorithm parallelization in Python. It simplifies and accelerates
data science, machine learning, and AI workflows.

Pythagoras offers:

• seamless parallel execution of Python code, locally or
  in diverse distributed environments of any scale;
• ubiquitous caching for intermediate program states,
  with intelligent data and code change tracking;
• simple and budget-friendly orchestration backend.

Usage

• Introduction to Pythagoras notebook:
  https://colab.research.google.com/drive/1tSJkpHl49Y9ZrYskkdoH2ti3_VZ5_6cj

How to get it?

The source code is hosted on GitHub at: https://github.com/pythagoras-dev/pythagoras

Installers for the latest released version are available
at the Python package index at: https://pypi.org/project/pythagoras

pip install pythagoras

Dependencies

• persidict
• jsonpickle
• joblib
• lz4
• pandas
• numpy
• psutil
• boto3
• pytest
• moto
• boto3
• scipy
• jsonpickle
• scikit-learn
• autopep8
• pytorch
• tensorflow
• keras
• deepdiff

Key Contacts

• Vlad (Volodymyr) Pavlov

About The Name

Pythagoras of Samos was a famous ancient Greek thinker and scientist
who was the first man to call himself a philosopher (“lover of wisdom”).
He is most recognised for his many mathematical findings,
including the Pythagorean theorem.

Not everyone knows that in antiquity, Pythagoras was also credited with
major astronomical discoveries, such as sphericity of the Earth
and the identity of the morning and evening stars as the planet Venus.