- Date & place
Materials Physics Center (CFM) Computer Room - San Sebastian, 4th May, 9:30-13:30 2017
- Track
Introduction to Scientific Python
- Autor
Iñigo Aldazabal Mensa <inigo_aldazabal@ehu.eus>
Introductory lesson for Scientific Computing with Python based on the SciPy stack having five parts:
- An overview of the Scientific Python (SciPy) ecosystem.
- A short introduction to the Jupyter notebooks web based interactive computational environment.
- 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.
The 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.
Targeted audience: scientific and technical people interested in scientific computing, data analysis, task automation,...
Content level: beginner
Audience prerequisites: basic general programming knowledge. Python knowledge is desirable but not essential if you have experience with any other programming languaje.
This work is licensed under a Creative Commons Attribution 4.0 International License.