Book Image

The Data Wrangling Workshop - Second Edition

By : Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar
Book Image

The Data Wrangling Workshop - Second Edition

By: Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar

Overview of this book

While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined. If you’re a beginner, then The Data Wrangling Workshop will help to break down the process for you. You’ll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques. This book starts by showing you how to work with data structures using Python. Through examples and activities, you’ll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you’ll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool. By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources.
Table of Contents (11 chapters)
Preface

Reading Data from an API

Fundamentally, an API or Application Programming Interface is an interface to a computing resource (for example, an operating system or database table), which has a set of exposed methods (function calls) that allow a programmer to access particular data or internal features of that resource.

A web API is, as the name suggests, an API over the web. Note that it is not a specific technology or programming framework, but an architectural concept. Think of an API like a fast-food restaurant's customer service desk. Internally, there are many food items, raw materials, cooking resources, and recipe management systems, but all you see are fixed menu items on the board and you can only interact through those items. It is like a port that can be accessed using an HTTP protocol and that's able to deliver data and services if used properly.

Web APIs are extremely popular these days for all kinds of data services. In the very first chapter, we talked...