Главная
Study mode:
on
1
Introduction
2
Who is already using some scientific software
3
Scientific visualization methods
4
Software libraries
5
Problems
6
Anaconda
7
GR Framework
8
Scientific Bias Distribution
9
Examples
10
GR 3D
11
Live signals
12
Live signals in 3D
13
MRI
14
Number Pro
15
Particle Simulation
16
Performance
17
Life Display
18
Data Processing
19
FrostonTrack
20
Born
21
Old vs New
22
Conclusions
23
Whats next
24
Simulations
25
Export
26
Future plans
27
Resources
28
Closing words
29
Questions
Description:
Explore scientific visualization techniques using the GR framework in this EuroPython 2014 conference talk. Discover how to integrate GR into existing Python environments for creating publication-quality 2D graphs and complex 3D scenes. Learn about the framework's layer structure, output capabilities, and interoperability with PyQt/PySide. Gain insights into speeding up Python scripts using Numpy and Numba. Watch live demos of animated visualizations for physics simulations, surfaces/meshes, molecule viewing, and MRI voxel data. Understand the advantages of GR in processing large amounts of data, especially when combined with GUI toolkits and three-dimensional visualizations. Get an overview of GR's integration into NICOS, a network-based control system, and its potential to overcome Python's limitations as an interpretative programming language in scientific and engineering environments.

Scientific Visualization with GR

EuroPython Conference
Add to list