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Clean Code for Data Scientists // Matt Sharp // # 160

EPISODE · Jun 7, 2023 · 46 MIN

Clean Code for Data Scientists // Matt Sharp // # 160

from MLOps.community · host Demetrios

MLOps Coffee Sessions #160 with Matt Sharp, Data Developer at Shopify, Clean Code for Data Scientists, co-hosted by Abi Aryan.// AbstractLet's delve into Shopify's real-time serving platform, Merlin, which enables features like recommender systems, inbox classification, and fraud detection. Matt shares his insights on clean coding and the new book he is writing about LLMs in production.// BioMatt is a Chemical Engineer turned Data scientist turned Data Engineer. Self-described "Recovering Data Scientist", Matt got tired of all the inefficiencies he faced as a Data Scientist and made the switch to Data Engineering. At Matt's last job, he ended up building the entire MLOps platform from scratch for a fintech startup called MX. Matt gives tips to data scientists on LinkedIn on how to level up their careers and has started to be known for my clean code tips in particular. Matt recently started a new job at Shopify.// MLOps Jobs board jobs.mlops.community// MLOps Swag/Merchhttps://mlops-community.myshopify.com/// Related Links--------------- ✌️Connect With Us ✌️ -------------Join our Slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunitySign up for the next meetup: https://go.mlops.community/registerCatch all episodes, blogs, newsletters, and more: https://mlops.community/Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/Connect with Abi on LinkedIn: https://www.linkedin.com/in/goabiaryan/Connect with Matt on LinkedIn: https://www.linkedin.com/in/matthewsharp/Timestamps:[00:00] Matt's preferred drink[00:54] Takeaways[03:04] Watch out for Matt's LLMs in Production book coming up![03:29] Please like, share, subscribe, and join the upcoming LLMs in Production Conference Part 2![05:07] Raising awareness about the fundamental problems of writing clean code[07:57] Definition of clean code[09:46] Communicable clean code[13:52] Getting out of Jupyter notebooks at the end of their life[17:21] Exploratory data analysis[21:22] Most popular post on LinkedIn[26:41] Zilliz Ad[27:44] Best practices on production-level software engineering[29:41] Merlin[33:51] Upcoming Shopify projects[39:10] Matt's upcoming LLMs in Production book[45:06] LLMs in Production book Early Access[46:00] Wrap up

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Clean Code for Data Scientists // Matt Sharp // # 160

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