Scientific Programming in Python including Git, NumPy, Pandas, MatPlotLib (24 hours)

Teacher: Francesco Mannella (CNR) (24 hours)

The aim of the course is to provide the basis for the use of the most advanced language features and for solving more complex problems in the field of scientific modeling and data analysis. Knowledge of the basic concepts of programming and a good level of linear algebra are required for participation.

The topics of the course will include:

  • Introduction to Python
  • Numerical data processing with the Numpy linear algebra library
  • Display of data with the Matplotlib library
  • Data manipulation with the Pandas library

Links to material used in the course: