Book Image

Learn Python by Building Data Science Applications

By : Philipp Kats, David Katz
Book Image

Learn Python by Building Data Science Applications

By: Philipp Kats, David Katz

Overview of this book

Python is the most widely used programming language for building data science applications. Complete with step-by-step instructions, this book contains easy-to-follow tutorials to help you learn Python and develop real-world data science projects. The “secret sauce” of the book is its curated list of topics and solutions, put together using a range of real-world projects, covering initial data collection, data analysis, and production. This Python book starts by taking you through the basics of programming, right from variables and data types to classes and functions. You’ll learn how to write idiomatic code and test and debug it, and discover how you can create packages or use the range of built-in ones. You’ll also be introduced to the extensive ecosystem of Python data science packages, including NumPy, Pandas, scikit-learn, Altair, and Datashader. Furthermore, you’ll be able to perform data analysis, train models, and interpret and communicate the results. Finally, you’ll get to grips with structuring and scheduling scripts using Luigi and sharing your machine learning models with the world as a microservice. By the end of the book, you’ll have learned not only how to implement Python in data science projects, but also how to maintain and design them to meet high programming standards.
Table of Contents (26 chapters)
Free Chapter
1
Section 1: Getting Started with Python
11
Section 2: Hands-On with Data
17
Section 3: Moving to Production

Simulation with Classes and Inheritance

In the previous chapters, we described the entities we derived from libraries as objects with no further explanation. For example, an entity describing a web page in our previous chapter was an object with its own values and methods—bound functions that seem to have access to objects internals.

In fact, we can create our own structures by defining classes. In this chapter, we'll do exactly that—learn how to define and make the most of classes and their properties. Along the way, we will use classes to create a rather complex system and monitor its behavior—something that classes are very good for. Because of that, classes are used extensively in games, computer graphics...in fact, any type of task where creating specific entities seems useful.

In this chapter, we will cover the following topics:

  • Writing a class...