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

What is a RESTful API?

We worked with APIs before, in Chapter 9, Shell, Git, Conda, and More – at Your Command, as clients. So, it would be safe enough to assume we have some idea about an API: it is just an interface that allows us to exchange data with the service. Technically, APIs can use any protocol or means of communication, and there are plenty of applications with all types of interfaces. However, these days, when people say API, they likely mean RESTful API. Here, the REST part stands for Representational State Transfer. REST is based on six guiding architectural principles, but what is more important for us is that it is based around HTTP requests, similar to the ones our browsers execute when we type in a URL.

Behind each RESTful API is a server—or, most likely, a group of serversready to execute the command; this command could serve the entire...