Oulu university student with basic Python knowledge, now you can improve your scientific Python skills on a free, four-day online course, starting on Nov 7!

“Python for scientific computing” is an on-line course on TwitchTV. It aims to improve your scientific Python skills. The course starts on Tuesday 7th November. On each day, this four-day course starts at 9:50 a.m. and lasts until 1 p.m.
Python for scientific computing from November 7th to 10th on twitch. dot. tv. slash. coderefinery. and Zoom. Provided by Aalto University and its Nordic partners.

Event information

Time

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Venue location

https://www.twitch.tv/coderefinery

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Target group

This course is suitable for you if you are a student or researcher at the University of Oulu, you have a basic understanding of basic Python and want to know some internals and important libraries for science. This is a medium-advanced course in Python tools such as NumPy, SciPy, Matplotlib, and Pandas. Read the learner personas to see if the course is right for you.

Please see the course prerequisite requirements and other details (aalto.fi)

As a course participant, you agree to comply with the Code of conduct ( CodeRefinery)

Implementation of the course

This is an online course streamed via Twitch (the CodeRefinery channel) so that anyone may follow along without registration. There is a "Notes" link (collaborative edited notes) which is used for asking questions during the course.

Please register to get live help and do exercises. Also, see the course material at github.

Date and time of the course

  • November 7 - November 10.
  • The course is held at the same time on all four days, fom 9:50 AM until 1:00 PM EET (brakes in included).

This course is organized by Aalto Scientific Computing in collaboration with CodeRefinery, and multiple Nordic partners. The Nordic partners in addition to the University of Oulu, include the Arctic University of Norway, Finnish Reproducibility Network, KTH Royal Institute of Technology, Nordic-RSE, University of Eastern Finland, University of Helsinki, University of Jyväskylä, and University of Oslo.

For more information on the course, please contact scip@aalto.fi

Last updated: 25.10.2023