4min chapter

MLOps.community  cover image

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

MLOps.community

CHAPTER

How to Write Clean Code

When code is clean, it's communicable. And how do you define clearly communicable code? Does that mean it's well-commented? Or does that mean the function naming is done in a way that makes sense instead of using very random variables to be able to store these? How do you define or what are your three top things that I would say are important for that? So, naming variables is definitely probably the largest aspect of writing clean code.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode