Introduction to Handling Databases

Abstract

Data is fundamental to the ways that modern business, communications, science, and even our personal lives are changing. The information we create from our online shopping, social media posts, search-engine queries, and location data is collected, managed, and analyzed and can be used for a number of reasons, including to track consumer patterns, to train artificial intelligence algorithms, or even to study the geographic distribution of particular events such as diseases. This chapter will focus only on using PyQt’s table classes for displaying and manipulating data. We will see how to use tables for creating the foundation for a spreadsheet editor, for working with CSV files, and for working with the SQL database management language.