Speed Up Your Python Data Applications By Parallelizing Them With Bodo
The Python Podcast.__init__
The speed of Python is a subject of constant debate, but there is no denying that for compute heavy work it is not the optimal tool. Rather than rewriting your data oriented applications, or having to rearchitect them, the team at Bodo wrote a compiler that will do the optimization for you. In this episode Ehsan Totoni explains how they are able to translate pure Python into massively parallel processes that are optimized for high performance compute systems.Next Episodes
An Exploration Of Financial Exchange Risk Management Strategies @ The Python Podcast.__init__
📆 2021-10-16 03:16 / ⌛ 00:34:30
Build Better Machine Learning Models By Understanding Their Decisions With SHAP @ The Python Podcast.__init__
📆 2021-10-09 03:21 / ⌛ 01:04:54
Accelerating Drug Discovery Using Machine Learning With TorchDrug @ The Python Podcast.__init__
📆 2021-09-30 03:16 / ⌛ 00:44:30
An Exploration Of Automated Speech Recognition @ The Python Podcast.__init__
📆 2021-09-26 02:57 / ⌛ 00:54:01
Experimenting With Reinforcement Learning Using MushroomRL @ The Python Podcast.__init__
📆 2021-09-19 22:50 / ⌛ 00:54:18