Accelerate Python with Bodo

Python is often praised for simplicity, but criticized for low performance and scalability. Bodo is a new compute engine that brings supercomputing-like performance and scalability to native Python analytics code. Bodo automatically parallelizes Python/Pandas code allowing applications to scale to 10,000+ cores and petabytes of data without any rewrites into Scala, C++ or non-native APIs, making Python the best solution for challenging data engineering tasks like ETL, data prep, and featurization. This is made possible using a new just-in-time (JIT) inferential compiler technology that can automatically perform the optimizations that usually require efforts from world-class performance experts. We will discuss how this technology works, present examples and benchmarks and explain why it is orders of magnitude faster than alternatives such as Spark and Dask.

About the Speaker

Ritwika Ghosh
Senior Engineer, Bodo.AI

Ritwika is a senior software engineer and a member of the founding technical team at Bodo.ai. Ritwika is currently focusing on advancing the developer, data engineer and data scientist experience of Bodo, including developer onboarding and technical materials. Before joining Bodo, Ritwika received her PhD in computer science from the University of Illinois at Urbana-Champaign, working on building formal methods and verified compiler frameworks for distributed autonomous systems.