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Developing Advanced Descriptions with MatDescriptionlib

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Developing Advanced Descriptions with MatDescriptionlib
Developing Advanced Descriptions with MatDescriptionlib
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 765 MB
Genre: eLearning | Language: English

"Developing Advanced Descriptions with MatDescriptionlib"

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MatDescriptionlib is a multi-platform data visualization tool built upon the Numpy and Scipy frameworks. One of MatDescriptionlib's most important features is its ability to work well with many operating systems and graphics backends. In this video course, you'll get hands-on with customizing your data Descriptions with the help of MatDescriptionlib. You'll start with customizing Descriptions, making a handful of special-purpose Descriptions, and building 3D Descriptions. You'll explore non-trivial layouts, Pylab customization, and more on tile configuration. You'll be able to add text, put lines in Descriptions, and also handle polygons, shapes, and annotations. Non-Cartesian and vector Descriptions are exciting to construct, and you'll explore them further in this tutorial. You'll delve into niche Descriptions and visualizing ordinal and tabular data.

In this video, you'll be exploring 3D Descriptionting, one of the best features when it comes to 3D data visualization, along with Jupyter Notebook, widgets, and creating movies for enhanced data representation. Geospatial Descriptionting will be also be explored. Finally you'll learn how to create interactive Descriptions with the help of Jupyter. By the end of this video tutorial, you'll be able to construct advanced Descriptions with additional customization techniques and 3D Description types.


Developing Advanced Descriptions with MatDescriptionlib

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