Book Image

Delphi GUI Programming with FireMonkey

By : Andrea Magni
4 (1)
Book Image

Delphi GUI Programming with FireMonkey

4 (1)
By: Andrea Magni

Overview of this book

FireMonkey (FMX) is a cross-platform application framework that allows developers to create exciting user interfaces and deliver applications on multiple operating systems (OS). This book will help you learn visual programming with Delphi and FMX. Starting with an overview of the FMX framework, including a general discussion of the underlying philosophy and approach, you’ll then move on to the fundamentals and architectural details of FMX. You’ll also cover a significant comparison between Delphi and the Visual Component Library (VCL). Next, you’ll focus on the main FMX components, data access/data binding, and style concepts, in addition to understanding how to deliver visually responsive UIs. To address modern application development, the book takes you through topics such as animations and effects, and provides you with a general introduction to parallel programming, specifically targeting UI-related aspects, including application responsiveness. Later, you’ll explore the most important cross-platform services in the FMX framework, which are essential for delivering your application on multiple platforms while retaining the single codebase approach. Finally, you’ll learn about FMX’s built-in 3D functionalities. By the end of this book, you’ll be familiar with the FMX framework and be able to build effective cross-platform apps.
Table of Contents (18 chapters)
Section 1: Delphi GUI Programming Frameworks
Section 2: The FMX Framework in Depth
Section 3: Pushing to The Top: Advanced Topics

Using grids

In this section, we are going to discuss a classic element of traditional user interfaces: the (data) grid. We are going to learn how to use it, bind it to data, and customize its visual appearance. 

Every desktop data-centric application out there has a data grid somewhere. For a long time, the default data structure has been the rectangular shaped dataset and its natural representation is a grid.

A grid is a collection of rows, each consisting of a collection of columns. The number of rows is variable, while the number of columns is fixed for each dataset. When we are dealing with (relational) databases as a source of data, the number of rows is usually linked to the number of records of a result set and the number of columns depends on the table structure (or structure of tables involved in a query). Aside from the database-related datasets, a very common example of a grid component is a spreadsheet, something that has been available in the IT world for decades...