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.

By the end of this chapter in particular, you will have a handle on expected Python questions within a data science interview, and know how to tackle them logically. Additionally, you will be more comfortable and confident with thinking through...