© Joshua Willman 2021
J. WillmanModern PyQthttps://doi.org/10.1007/978-1-4842-6603-8_4

4. Database Handling in PyQt

Joshua Willman1  
(1)
Hampton, VA, USA
 

Let’s continue exploring the possibilities of working with data with one of the most widely used tools for accessing and managing data – Structured Query Language (SQL) . Much of the world’s data is collected and stored in the cloud or on servers, computers that store and provide data to client computers when the client makes requests for information from the server.

As you saw in Chapter 3, data can be visualized using various tools, such as charts and graphs. Tables and lists are also commonly used tools for visualizing and analyzing data. With only a few commands, SQL allows you to access information ...

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