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[3EA]⋙ Read 3D Scientific Visualization with Blender Brian R Kent eBook

3D Scientific Visualization with Blender Brian R Kent eBook



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Download PDF 3D Scientific Visualization with Blender Brian R Kent eBook

This is the first book written on using Blender (an open-source visualization suite widely used in the entertainment and gaming industries) for scientific visualization. It is a practical and interesting introduction to Blender for understanding key parts of 3D rendering that pertain to the sciences via step-by-step guided tutorials. Any time you see an awesome science animation in the news, you will now know how to develop exciting visualizations and animations with your own data.
3D Scientific Visualization with Blender takes you through an understanding of 3D graphics and modeling for different visualization scenarios in the physical sciences. This includes guides and tutorials for
• Understanding and manipulating the interface
• Generating 3D models
• Understanding lighting, animation, and camera control
• Scripting Data import with the Python API
The agility of Blender and its well organized Python API make it an exciting and unique visualization suite every modern scientific/engineering workbench should include. Blender provides multiple scientific visualizations including solid models/surfaces/rigid body simulations; data cubes/transparent/translucent rendering; 3D catalogs; N-body simulations; soft body simulations; surface/terrain maps; and phenomenological models. The possibilities for generating visualizations are considerable via this ever growing software package replete with a vast community of users providing support and ideas. A web site with supplemental data and resources will be made available at http//www.cv.nrao.edu/~bkent/blender/.

3D Scientific Visualization with Blender Brian R Kent eBook

This book is really more of a pamphlet than a book, and should be seen as a companion to the author (Brian Kent) website, which contains files and instructions not found in the book. Additionally, this book is better read after looking at the online Wikibooks and tutorials on Blender. This will save a lot of frustration, if you're brand new to Blender. Not sure, given all the online information that contains the same information, that a person really needs to purchase this particular book at all.

Having said all that, I found the examples Professor Kent provides on his website to be very useful. Typos should be corrected though.

In the first example, the script should be run from Edit mode, whereas the instructions in the text state the user should TAB back to Object mode. This will crash the script, though it is easily fixed.

The second example is more of a teaser than an example. The results are rendered beautifully in the author's YouTube video, but there is no information as to where to get the data to input the example. This is a pity, as the example is otherwise written very clearly, and has much potential. Still, how does one run the example without the data input information?

Product details

  • File Size 13091 KB
  • Print Length 105 pages
  • Publisher Morgan & Claypool Publishers (January 7, 2016)
  • Publication Date January 7, 2016
  • Sold by  Digital Services LLC
  • Language English
  • ASIN B01ABDLO3M

Read 3D Scientific Visualization with Blender Brian R Kent eBook

Tags : 3D Scientific Visualization with Blender - Kindle edition by Brian R. Kent. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading 3D Scientific Visualization with Blender.,ebook,Brian R. Kent,3D Scientific Visualization with Blender,Morgan & Claypool Publishers,SCIENCE Experiments & Projects,TECHNOLOGY & ENGINEERING Imaging Systems
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3D Scientific Visualization with Blender Brian R Kent eBook Reviews


Would love to have the kindle version so i can open it in my pc. Please let me know when its avaliable. Thanks!
It has got some nice tips and tricks but it's relatively few and far between.
This 'book' is less than 1/4" thick with 74 pages of actual content. The chapter titles and many figures are promising. But the text either provides fluffy descriptions with little concrete information, or, step-by-step "click here, now type this, now click here" examples.
This is quite superficial, and you can easily find better content just by surfing the web. This is not even close to the depth of a 'book.'
I really enjoyed reading and working through this book. Very appropriate for Blender users of all experience levels. It's a great Python and Blender tutorial book for data manipulation and 3D visualization. The book is concise and the tutorials are very clear.
Highly recommended for those not only interested in scientific and technical work, but also with using the Python scripting
interface to any 3D Blender application. The tutorials get the reader started quickly and can be expanded upon in a variety of applications.
Working with 3D data can be challenging, but using Blender together with this book showed how to use a number of features
in an alternative manner.
This book is really more of a pamphlet than a book, and should be seen as a companion to the author (Brian Kent) website, which contains files and instructions not found in the book. Additionally, this book is better read after looking at the online Wikibooks and tutorials on Blender. This will save a lot of frustration, if you're brand new to Blender. Not sure, given all the online information that contains the same information, that a person really needs to purchase this particular book at all.

Having said all that, I found the examples Professor Kent provides on his website to be very useful. Typos should be corrected though.

In the first example, the script should be run from Edit mode, whereas the instructions in the text state the user should TAB back to Object mode. This will crash the script, though it is easily fixed.

The second example is more of a teaser than an example. The results are rendered beautifully in the author's YouTube video, but there is no information as to where to get the data to input the example. This is a pity, as the example is otherwise written very clearly, and has much potential. Still, how does one run the example without the data input information?
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