Overview
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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.
Syllabus
Introduction
Who is already using some scientific software
Scientific visualization methods
Software libraries
Problems
Anaconda
GR Framework
Scientific Bias Distribution
Examples
GR 3D
Live signals
Live signals in 3D
MRI
Number Pro
Particle Simulation
Performance
Life Display
Data Processing
FrostonTrack
Born
Old vs New
Conclusions
Whats next
Simulations
Export
Future plans
Resources
Closing words
Questions
Taught by
EuroPython Conference