Go From Notebook To Pipeline For Your Data Science Projects With Orchest

The Python Podcast.__init__

• Episode: Go From Notebook To Pipeline For Your Data Science Projects With Orchest
• Website: The Python Podcast.__init__
• Feed URL: https://www.podcastinit.com/feed/mp3/
• Duration: 00:44:24
• Published: 2021-03-02 03:04

Jupyter notebooks are a dominant tool for data scientists, but they lack a number of conveniences for building reusable and maintainable systems. For machine learning projects in particular there is a need for being able to pivot from exploring a particular dataset or problem to integrating that solution into a larger workflow. Rick Lamers and Yannick Perrenet were tired of struggling with one-off solutions when they created the Orchest platform. In this episode they explain how Orchest allows you to turn your notebooks into executable components that are integrated into a graph of execution for running end-to-end machine learning workflows.