August 2022
Intermediate to advanced
352 pages
11h 36m
English
Content preview from Effective Data Science InfrastructureBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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2 The toolchain of data science
This chapter covers
- The key activities that the data scientist engages in on a daily basis
- The essential toolchain that makes the data scientist productive
- The role of workflows in the infrastructure stack
Every profession has its tools of the trade. If you are a carpenter, you need saws, rulers, and chisels. If you are a dentist, you need mirrors, drills, and syringes. If you are a data scientist, what are the essential tools that you need in your daily job?
Obviously, you need a computer. But what’s the purpose of the computer? Should it be used to run heavy computation, train models, and such, or should it be just a relatively dumb terminal for typing code and analyzing results? Because production applications ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.