February 2024
Beginner to intermediate
404 pages
10h 46m
English
Content preview from Cracking the Data Science Interview
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3
Programming with Python
Starting from this chapter, we will now transition into preparing you for the technical portion of data science job interviews. For this reason, this second part of the book is best used as a study/quick reference guide as you prepare for your interviews. Therefore, feel free to skip or review chapters according to your studying needs.
In each of the following chapters, we will review key concepts and provide sample problems. Thus, it is important that you are at least familiar with introductory programming concepts, preferably with functional programming. This includes, but is not limited to, syntax, data types, variables and assignments, control flow, and packages such as pandas and numpy for data wrangling.
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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.