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).

Slicer

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

  1. Explore ParaView user’s interface
  2. Visualize and process data using ParaView
  3. Learn ParaView Python scripting
  4. 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: October 17, 2022
Time zone: Paris (CEST / GMT+2h)
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

Since his arrival in Kitware Europe as an R&D Engineer in May 2016, Nicolas has actively contributed to ParaView. His developments are aimed to improve the User Interface as well as High Performance Computing (HPC).