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

Declarative visualization with vega and altair

Until now, we have used the matplotlib library, via the built-in pandas interface. matplotlib is powerful and essential to Python's data visualization ecosystem. It is not, however, the only visualization library we can use. In fact, there are a plethora of visualization tools, different in their format, focus, or even philosophy. In this section, we'll introduce you to a different tooland different concept of data visualization—and that is altair, which is a Python library based around the Vega engine. What makes it so different? A couple of things, in fact.

First of all, its core philosophy is based on the declarative approach, which can be boiled down to the following principle: the core idea is to write each chart in code as a declarationbasically, a recipe. This declaration would define what to...