Agile Visualization with Pharo: Crafting Interactive Visual Support Using Roassal

ISBN-13: 9781484271605 / Angielski / Miękka / 2021 / 280 str.

Alexandre Bergel

Spis treści

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.- 

O autorze

Alexandre Bergel is a contributor to the Pharo programming language and an assistant professor at the University of Chile. He does research in software engineering and programming using Pharo and other programming languages with applications in data visualization, agile methodology, and more.  

Blurb

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