ParaView User Training
ParaView is an open-source, multi-platform scientific data analysis and visualization tool that enables analysis and visualization of extremely large datasets. ParaView is both a general purpose, end-user application with a distributed architecture that can be seamlessly leveraged by your desktop or other remote parallel computing resources and an extensible framework with a collection of tools and libraries for various applications including scripting (using Python), web visualization (through ParaViewWeb), or in-situ analysis (with Catalyst).
This course will give an overview of ParaView: how to visualize and process data. The examples are based on use cases from several scientific domains.
The training mixes theory and application with a set of tutorials and exercises.
Objectives
- Explore ParaView user’s interface
- Visualize and process data using ParaView
- Learn ParaView Python scripting
- Discover ParaView extension with plugins
Prerequisites
- VTK: a basic knowledge is a plus
- Python: a basic knowledge is a plus
Program
- ParaView Overview
- User interface
- Pipeline sources and filters
- Datasets visualization and exploration
- Datasets post-processing
- Python Scripting
- Scripting ParaView using its Python API
- Plugins
- Introduction to the use of ParaView plugins
This training course will be taught in English. Course notes are also in English.
Participants are asked to bring a laptop computer for this training session.
The instructor will communicate all the specifications required to each participants before the training session.
Kitware SAS is registered as a training center in France.
Training at Kitware
Duration: 1 day
Next training Date: April 14, 2025
Time zone: Paris (CET / GMT+1h)
Schedule: 9am to 5pm
Location: Online
Price: 800€
Company Training
All our training can be offered on site with a custom agenda. Contact us for more information.
Meet the instructor
Jean Fechter is an R&D Engineer in the Scientific Visualization team at Kitware Europe.
Jean holds an engineering degree from EPITA, where he studied computer science and advanced techniques. One of his main projects during his studies was a 3D fluid simulation using the SPH method, with a C++ and OpenGL implementation to simulate water in 3D.