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QuickStart Guide to (Ultra-)High Performance Visualizations — cover

Book cover from the publisher catalogue.

Computers & Technology

QuickStart Guide to (Ultra-)High Performance Visualizations

By Kenwright

Transform massive datasets into real-time, interactive visuals that drive insight and action.

Pages
324
Publication
1 May 2025
Language
English
ISBN
9798266659131
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A good reason to return tomorrow.

Looking for a new direction in Programming? “QuickStart Guide to (Ultra-)High Performance Visualizations” makes a persuasive case for giving the subject your attention. Bring a specific question and turn the reading into a purposeful exploration. Visualisation connects analysis with the way another person sees an argument. Choose a comparison that matters and ask which design decisions make that comparison easier to understand. Keep it close to the place where you read. Choose a manageable section, leave yourself a clear return point, and let the topic become part of a rhythm you can sustain. A worthwhile idea does not need to be rushed. A promising addition to a reading list with a purpose.

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Choose a manageable return point

Explore Computers & Technology, Data Visualization, Programming with a reading approach that gives the ideas somewhere to go. Visualisation connects analysis with the way another person sees an argument. Choose a comparison that matters and ask which design decisions make that comparison easier to understand.

The listed 324 pages give a sense of extent; page count alone does not establish depth or difficulty.

A question before you choose

Can I identify a useful starting section without committing to a fixed reading speed?

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Find a self-contained section or example. Decide the smallest useful action for your next session and leave a note showing exactly where to resume.

Publisher’s synopsis

This guide shows how to create ultra high performance visualizations that handle massive datasets with ease. From scientific research to business intelligence, learn how to build interactive, real-time visuals that reveal patterns, trends, and insights. With practical examples and performance tips, this book is ideal for developers, analysts, and data scientists.

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Estimate sessions from the listed page count. Technical exercises and rereading can take extra time.

33 sessions at 10 pages per session.

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