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

Assigning variables

At the end of the previous chapter, we ran a simple Python function for the sake of testing:

print('Hello world!')

Here, "Hello world" is an argument, that is, a data point used as an input for the function. In this particular case, we used a raw data value. However, this approach won't get us far—what if we need to change this value, or use it in some other code? This can be done by using variables!

Variables are one of the most basic and powerful concepts in programming. You can think of them as aliases, similar to variables in math equations. Variables are representations of the actual underlying data in the code, which allow us to write operations and describe relations without knowing the exact values the code will operate on. This allows us to write generalized code, which can be used multiple times and in different situations...