Python for Scientific Computing

Part of Scientific Computing in Practice lecture series at Aalto University.

Audience: employees and students

About the course: Python is a modern, object-oriented programming language, which has become popular in several areas of software development. This course discusses how Python can be utilized in scientific computing. The course starts by introducing the main Python package for numerical computing, NumPy, and discusses then SciPy toolbox for various scientific computing tasks as well as visualization with the Matplotlib package. The course consists of lectures and hands-on exercises.

Lecturer: Janne Blomqvist, D. Sc., Science IT / Department of Applied Physics and NBE, Aalto University

Time, date:

  • Wed 27.3.2019, 12:00-15:00
  • Wed 3.4.2019, 12:00-15:00

Place: Otakaari 1, U7 (the auditorium next to the student’s hub/cafeteria in the main building, also know as U135a)

Cost: Free of charge for FGCI consortium members including Aalto employees and students.

Registration: register here

Credits: The course is not a part of the official Aalto studying program, but course organizers provide a certificate that stands that amount of hours correspond roughly to 0.5 ECTS.

Students who wish to get a certificate should hand in the homework assignments and participate to at least 75% of the lectures.

Other comments: Participants are expected to bring their own laptops (!).

Additional course info at: janne.blomqvist -at- aalto.fi