Agile Visualization with Pharo : Crafting Interactive Visual Support Using Roassal / by Alexandre Bergel.

Format:

Book

Author/Creator:

Bergel., author.

Contributor:

Alexandre.

Language:

English

Subjects (All):

Compilers (Computer programs).

Computer programming.

Information visualization.

Compilers and Interpreters.

Programming Techniques.

Data and Information Visualization.

Local Subjects:

Compilers and Interpreters.

Programming Techniques.

Data and Information Visualization.

Physical Description:

1 online resource (268 pages)

Edition:

1st ed. 2022.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2022.

Summary:

Use the Pharo interactive development environment to significantly reduce the cost of creating interactive visualizations. This book shows how Pharo leverages visualization development against traditional frameworks and toolkits. Agile Visualization with Pharo focuses on the Roassal visualization engine and first presents the basic and necessary tools to visualize data, including an introduction to the Pharo programming language. Once you’ve grasped the basics, you’ll learn all about the development environment offered by Roassal. The book provides numerous ready-to-use examples. You’ll work on several applications, including visualizing the training phase of reinforcement learning (a powerful machine learning algorithm) and generating software visualizations from GitHub. This book covers aspects that are relevant for engineers and academics to successfully design and implement interactive visualizations. You will: Implement agile data visualization using the Pharo programming language Chart, plot, and curve using Grapher Build and draw graphs using Mondrian Implement reinforcement learning (Q-Learning, from scratch) and use visualizations to monitor learning and state exploration Use GitHub Action to generate software visualizations (UML class diagram, test coverage) at each commit.

Contents:

1: Introduction

2: Quick Start

3: Pharo in a Nutshell

4: Agile Visualization

5: Overview of Rossal

6: The Rossal Canvas

7: Shapes

8: Line Builder

9: Shape Composition

10: Normalizing and Scaling Values

11: Interactions

12: Layouts

13: Integration in the Inspector

14: Reinforcement Learning

15: Generating Visualizations from GitHub.

Notes:

Includes index.

Print version record.

ISBN:

9781484271612

1484271610

OCLC:

1287134182