ParaView User Course

ParaView is an open-source, multi-platform scientific data analysis and visualization tool that enables the 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 provides an overview of ParaView, including how to visualize and process data. The examples are based on use cases from several scientific domains.

This training mixes theory and application with a set of tutorials and exercises.

Objectives

• Explore ParaView's user interface
• Visualize and process data using ParaView
• Learn ParaView's Python scripting
• Discover how to extend ParaView with plugins

Prerequisites

• Basic knowledge of VTK is a plus
• Basic knowledge of Python is a plus

Agenda

This course covers 8 hours of material, which can be divided into shorter sessions around your availability.

Our Recommendation: For onsite courses, we recommend either one 8-hour day of instruction (morning and afternoon sessions with a lunch break) or two 4-hour sessions on consecutive days. For an online course, we can accommodate a variety of schedules, including 2-hour sessions held on four consecutive days, or over the course of 2 or more weeks.

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