本站提供 8500 多本免费的 IT 技术电子书在线下载。
  1. 文章总数:8391
  2. 浏览总数:690,539
  3. 评论:0
  4. 分类目录:125 个
  5. 注册用户数:31
  6. 最后更新:2019年11月22日
过往记忆博客公共帐号iteblog_hadoop
欢迎关注微信公共帐号:
iteblog_hadoop

OpenGL Data Visualization Cookbook

编程 iteblog 105℃ 0评论

关注 过往记忆大数据 微信公众号,回复 4300 获取本书下载地址。

子标题:Over 35 hands-on recipes to create impressive, stunning visuals for a wide range of real-time, interactive applications using OpenGL

OpenGL Data Visualization Cookbook
作者:
Raymond C. H. Lo, William C. Y. Lo
ISBN-10:
1782169725
出版年份:
2015
页数:
298
语言:
English
文件大小:
5.82 MB
文件格式:
PDF

图书描述

OpenGL is a great multi-platform, cross-language, and hardware-accelerated graphics interface for visualizing large 2D and 3D datasets. Data visualization has become increasingly challenging using conventional approaches as datasets become larger and larger, especially with the Big Data evolution. From a mobile device to a sophisticated high-performance computing cluster, OpenGL libraries provide developers with an easy-to-use interface to create stunning visuals in 3D in real time for a wide range of interactive applications.

This book provides easy-to-follow, hands-on tutorials to create appealing OpenGL-based visualization tools with minimal development time. We will first illustrate how to quickly set up the development environment in Windows, Mac, and Linux. Next, we will demonstrate how to visualize data for a wide range of applications using OpenGL, starting from simple 2D datasets to increasingly complex 3D datasets with more advanced techniques. Each chapter addresses different visualization problems encountered in real life and introduces the relevant OpenGL features and libraries in a modular fashion. By the end of this book, you will be equipped with the essential skills to develop a wide range of impressive OpenGL-based applications for your unique data visualization needs, on platforms ranging from conventional computers to the latest mobile/wearable devices.

下载地址

关注 过往记忆大数据 微信公众号,回复 4300 获取本书下载地址。

如图书无法下载,请加微信 fangzhen0219 反馈。
喜欢 (0)or分享 (0)
发表我的评论
取消评论

表情
本博客评论系统带有自动识别垃圾评论功能,请写一些有意义的评论,谢谢!