ParaView User

with Tristan Coulange in Lyon, France

October 11, 2017 (1 day long)

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. Discover ParaView Python scripting

  4. Discover ParaView extension with plugins


Prerequisites

  1. VTK: a basic knowledge is a plus

Program

ParaView Overview

  • Datasets visualization and browsing
  • Datasets post processing 
  • Pipeline and filters

Python

  • Introduction to the ParaView Python API

Plugins

  • Introduction to the use and development 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.

Lunch is included.

All Kitware training courses can be customized and held at Kitware's training centers (In the EU: Lyon, France; or in the US: Clifton Park, New York; Carrboro, North Carolina; Santa Fe, New Mexico) or at your own site (quotation).

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* VAT excluded.
A 10% discount (432 € VAT excluded) is applied for students.

Practical information

October 11, 2017
(Early registrations end: September 27, 2017)

Standard price: 600 €
Current price: 480 €*

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About the instructor

After qualifying as an an informatics and research engineer in Centrale Lille (France) in 2012, Tristan decided  to extend his scope of expertise, and joined the Informatics Master in Lyon University to specialize in image treatment and algorithmic geometry.

Passionate about mathematics, programming, technology and research, Tristan teamed up with R&D experts during his different internships to work on radiotherapy applications, image segmentation, real-time shape recognition, and GPU parallel computing. 

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