| Date & place: | Software Carpentry Workshop - Materials Phyiscs Center (CFM), January 10, 17, 19 and 27th, 2023 (workshop webpage). Friday 27th session. |
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| Content: | Introduction to Scientific Python |
| Instructors: | Iñigo Aldazabal Mensa <inigo.aldazabalm@ehu.eus> |
Introductory lesson for Scientific Computing with Python based on the SciPy stack having four parts:
- An overview of the Scientific Python (SciPy) ecosystem.
- An introduction to NumPy, based on Valentin Haenel's SciPy 2013 Tutorial.
- A very short practical introduction to Matplotlib.
- A guided hands-on demostration of some of the SciPy library subpackages.
Participants are encouraged to follow the hands-on parts in their laptops. For this is enough with just having the Anaconda Python scientific stack installed. Installation is straightforward and you can follow eg. this installation instructions. Please use the Python 3 version for your platform.
Targeted audience: scientific and technical people interested in computing, data analysis, task automation,...
Content level: beginner
Audience prerequisites: basic general programming knowledge. Python knowledge is desirable for the evening sessions, but not essential if you have experience with any other programming languaje.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.