Course Name: Python for Scientific Computing

Credits: 0-1

Description:

Python has seen wide adoption in the scientific community for data

analysis, simulation, prototyping, and visualization. It provides a

simple, yet powerful means to build applications. This seminar

introduces python and its use in scientific computing. Students will

learn the standard python libraries for array manipulation,

visualization, numerical analysis, and symbolic mathematics, as well

as how to interface python with other languages, build applications,

and good software engineering practices (including version control and

testing). Students are encouraged to share examples from their

discipline.