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.

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Course

• 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.

Resources

• Scientific Visualization – Python & Matplotlib, Nicolas P. Rougier (2021)
• Fundamentals of Data
  Visualization, Claus
  O. Wilke (2019)
• Matplotlib Cheatsheets, Nicolas P. Rougier (2020)
• Python Graph Gallery, Yan Holtz (2017)
• Matplotlib Gallery, Matplotlib team
• Ten simple rules for better figures,
  Nicolas P. Rougier, Michael Droettboom, Philip E. Bourne (2014)