Josef Heinen - Scientific Visualization with GR Python developers often get frustrated when managing visualization packages that cover the specific needs in scientific or engineering environments. The GR framework could help. GR is a library for visualization applications ranging from publication-quality 2D graphs to the creation of complex 3D scenes and can easily be integrated into existing Python environments or distributions like Anaconda. ----- Python has long been established in software development departments of research and industry, not least because of the proliferation of libraries such as *SciPy* and *Matplotlib*. However, when processing large amounts of data, in particular in combination with GUI toolkits (*Qt*) or three-dimensional visualizations (*OpenGL*), it seems that Python as an interpretative programming language may be reaching its limits. --- *Outline* - Introduction (1 min) - motivation - GR framework (2 mins) - layer structure - output devices and capabilities - GR3 framework (1 min) - layer structure - output capabilities (3 mins) - high-resolution images - POV-Ray scenes - OpenGL drawables - HTML5 / WebGL - Simple 2D / 3D examples (2 min) - Interoperability (PyQt/PySide, 3 min) - How to speed up Python scripts (4 mins) - Numpy - Numba (Pro) - Animated visualization examples (live demos, 6 mins) - physics simulations - surfaces / meshes - molecule viewer - MRI voxel data - Outlook (1 min)