Introductory course in Scientific Python

Here you will find documentation and files to my introductory course in Scientific Python. Download the documentation and the listed Jupyter notebboks, script and data files required to run the introductory course.

Documentation:

Download Introduction to Scientific Python . The document has the following sections:

1	Introduction.
2	The Python user interface.
3	Basic functions.
4	Visualisation.
5	Programming.
6	Analysis.

You will need the following files to be able to do the examples and the exercises.

You can run the code and examples by selecting a JupyterLab demo session at http://jupyter.org/try and upload the notebooks, scripts and data files for each chapter.

If you want to install python and jupyter on your computer, check https://jupyter.org/install.html .

Jupyter notebooks, scripts and data files

Jupyter notebook	Scripts and data files	Description
basics.ipynb	instructions.py, Amatrix.py, nucseq.mat	Example code and exercise solutions for chapter 3.
visualisation.ipynb		Example code and exercise solutions for chapter 4.
programming.ipynb	pyfuns.py	Example code and exercise solutions for chapter 5.
analysis.ipynb	photopl.txt	Example code and exercise solutions for chapter 6.
Python introduction files.zip		Archive with all files linked in this table.

This course is an adaptation from a MATLAB introductory course which is also available: Introduction to MATLAB .