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

Chapter 6

What is an API? Why would we use it?

An API is a programmatic interface; for example, a way to interact with a given tool or service using code. Generally speaking, any tool can (and many do) have an API; for example, every Python package has some, but usually, it is used in the context of a Web API—in other words, an interface for a certain service that's accessible programmatically via the internet. You use Web APIs all of the time—most applications on your phone communicate with the corresponding servers via their APIs. For us, a Web API is a way to leverage the power and information of web services from within our Python code.

What do the various HTTP(S) response status codes mean?

HTTP response statuses are integers that define the status of interactions and are defined by a server. For example, if routing servers can't find a URL you&apos...