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Возможности визуализации данных на языке Python в области 3D-моделирования

Authors: Chernyakov, M.S.; Karimova, O. Kh.;

Возможности визуализации данных на языке Python в области 3D-моделирования

Abstract

The article discusses the problem of representing and processing data using the Python language. Using Blender as an example, it is shown that with the help of scripting it is possible to implement various information models both in the field of two-dimensional and three-dimensional representation of scientific information, and in the field of rendering, creation of materials or new design solutions. The relevance of using the Python language as a tool in a modeling environment has been proven, where with an increase in the volume of processed information, there is an insufficiency of standard types of representation. Examples are given of how using Python it is possible to create your own software products or complement existing tool sets for solving applied problems.

В статье рассмотрена проблема представления и обработки данных средствами языка Python. На примере Blender показано, что с помощью скриптинга можно реализовать различные информационные модели как в области двумерного и трехмерного представления научной информации, так и в области рендеринга, создания материалов или новых дизайнерских решений. Доказана актуальность применения языка Python как инструмента в среде моделирования, где с увеличением объемов обрабатываемой информации возникает недостаточность стандартных видов представления. Приведены примеры того, как с помощью Python возможно создавать собственные программные продукты или дополнять существующие наборы инструментов для решения прикладных задач.

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Keywords

ВИЗУАЛИЗАЦИЯ ДАННЫХ, BLENDER, DATA VISUALIZATION, PYTHON

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green