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Scientific visualization Course

Visualisation is a method of computing. It transforms the symbolic into the geometric, enabling researchers to observe their simulations and computations. Visualisation offers a method for seeing the unseen. It enriches the process of scientific discovery and fosters profound and unexpected insights.

Visualisation in Scientific Computing, NSF report, 1987


  • Scientific Visualization (PDF). A gentle introduction to scientific visualization reviewing some concepts, definitions and rules.

  • Introduction (notebook). In this introduction, we'll see how to make a figure and play with the different settings such as to improve the rendering. We'll also see how to compose a figure made of several subplots with a moderatly complex layout.

  • Catalogue (notebook). In this lesson, we'll review the many different types of plot matplotlib offers and manipulate them, namely, plot, scatter, imshow and bar plots.

  • Scales & projections (notebook). Matplotlib offers the possibility to use different scales (log scale, symlog scale, logit scale) and projections (polar, 3D, geographic). We'll review a few of them in this lesson.

  • Animation (notebook). Animation with matplotlib can be created very easily using the animation framework. During this lesson, we'll show how to create an animation and save it as a movie.



Material for dataviz course at university of Bordeaux






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