Chapter 14

Using Python for Data Science


check Taking on data types

check Looking at how loops work

check Forming simple user-defined functions

check Defining classes in Python

check Exploring data science Python libraries

check Practicing data analysis for yourself

Although popular programming languages like Java and C++ are good for developing stand-alone desktop applications, Python’s versatility makes it an ideal programming language for processing, analyzing, and visualizing data. For this reason, Python has earned a reputation of excellence in the data science field, where it has been widely adopted over the past decade. In fact, Python has become so popular that it seems to have stolen ground from R — the other free, widely adopted programming language for data science applications. Python’s status as one of the more popular programming languages out there can be linked to the fact that it’s relatively ...

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