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Python for computational science

Course Organizer: 
S. Campagna (Bologna), A. Invernizzi (Milan), M. Rosati (Rome)

Python is a dynamic object-oriented programming language. Because of its powerful and flexible syntax, Python excels as a platform for scientific computing. Versatility, simplicity of use, high portability and the large number of open source modules and packages make it very popular for scientific use.

Although pure Python is generally slower compared to traditional language (C or Fortran), there are various techniques and libraries that allow you to obtain performance absolutely comparable to those of the most common compiled languages, assuring a good balance between computational performance and time investment.

After a short introduction to the basic syntax, the course will focus on the main aspects of using Python as a language for computational science. The most important scientific modules for Python will be covered and an introduction of mixed language programming will be provided.

3 Editions are scheduled for 2016

Click on the date to register (Subscription are opened about 3 months before the starting date).

Key features of Python Language. Introduction to Python syntax. Introduction to scientific tools for Python.
Target audience: 
Researchers and programmers interested in scientific programming with Python.
Knowledge of the basic fundamentals of scientific programming (for instance C/C++, Fortran).
3 dd