The level is for beginners to intermediates. This course is aimed at researchers who have some 2D or 3D data that they are currently trying to visualize. tracing python scripts, editing traces to lead to writing and scripts and running them in batch.placing titles in the view and saving images.using colour and setting your colour map.using multiple views to show related views of a single data set.using contours (isolines and isosurfaces).Harder python exercises are being piloted at the end of the course. This is a general hands-on course that introduces some of the basic visualization techniques using research data produced at the University of Leeds. Once suitable techniques are selected you can build your own bespoke ParaView application, called a state, or use the knowledge gained to program your own application in another system/language. Its graphical user interface (GUI) makes it quick to test visualization techniques on data. It is designed to run on a desk top (or parallel cluster for large data) and comes packaged with a wide variety of scientific software.
ParaView is a popular open-source application for the visualization of 2D and 3D scientific data. Paraview is a scientific visualisation tool for 2D and 3D data, primarily images and meshes.