Chapter 2
Using Python for Data Science and Visualization
IN THIS CHAPTER
Taking on Python programming for data science
Understanding Python data types, loops, functions, and classes
Exploring data science Python libraries
This chapter introduces the fundamental concepts of programming with Python (such as data types, loops, functions, and classes). As with R (covered in Book 5), the machine learning models you build with Python can serve as the decision engines within AI SaaS products you build for your company. This chapter also covers some of the best Python libraries for manipulating data, performing statistical computations, creating data visualizations, and completing other data science tasks.
Using Python for Data Science
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’s actually stolen a lot of ground from R ...
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