Effortless Distributed Computing in Python

In this talk, Raphael will share his experience taking part to the development of 3 new packages dedicated to the parallelization of distributed Python workloads:

• Scaler, a light-weight and resilient distributed task scheduler for Python;
• Parfun, an easy to use map-reduce decorator for Python;
• Pargraph a battle-tested distributed graph engine for Python.

The talk will show examples on how to leverage these three projects for efficient distributed computations.