June 8, 2023, 2:32 p.m. | MLOps.community

MLOps.community www.youtube.com

MLOps Coffee Sessions #160 with Matt Sharp, Data Developer at Shopify, Clean Code for Data Scientists co-hosted by Abi Aryan. This episode is brought to you by Zilliz.

Matt emphasizes the importance of clean code throughout the development process. He suggests that clean code should be prioritized from the start, even during exploratory data analysis, to facilitate understanding and future modifications. Matt recommends creating a Jupyter Notebook with clean code snippets and notes for efficient reuse. He also highlights the …

clip code coffee data data scientists developer development importance mlops podcast process scientists shopify zilliz

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Software Engineer, Data Tools - Full Stack

@ DoorDash | Pune, India

Senior Data Analyst

@ Artsy | New York City