| Date & place: | Software Carpentry Workshop - San Sebastian 2017, 28-30th June 2017 (workshop webpage) |
|---|---|
| Track: | Introduction to Scientific Python |
| Autor: | Iñigo Aldazabal Mensa <inigo.aldazabalm@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.