September 2021
Beginner to intermediate
256 pages
6h 48m
English
Content preview from Foundational Python for Data Science
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15
Other Topics
The most important property of a program is whether it accomplishes the intention of its user.
C.A.R. Hoare
In This Chapter
This chapter covers some Python Standard Library components that are powerful tools for both data science and general Python use. It starts with various ways to sort data and then moves to reading and writing files using context managers. Next, this chapter looks at representing time with datetime objects. Finally, this chapter covers searching text using the powerful regular expression library. It is important to have at least a high-level understanding of these topics as they are all highly leveraged in production programming. ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.