cyaenorama/scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

Lectures on scientific computing with Python

A set of lectures on scientific computing with Python, using IPython notebooks.

To open these notebooks in IPython, download the files to a directory on your computer and from that directory run:

$ ipython notebook

This will open a new page in your browser with a list of the available notebooks.

Should this error [TerminalIPythonApp] WARNING | File not found: u'notebook' pop up, please install Jupyter by following the instructions and execute the following command to run the notebook:

$ jupyter notebook

Online read-only versions

Use the following links:

• Lecture-0 Scientific Computing with Python
• Lecture-1 Introduction to Python Programming
• Lecture-2 Numpy - multidimensional data arrays
• Lecture-3 Scipy - Library of scientific algorithms
• Lecture-4 Matplotlib - 2D and 3D plotting
• Lecture-5 Sympy - Symbolic algebra
• Lecture-6A C and Fortran integration
• Lecture-6B HPC
• Lecture-7 Revision Control Software

A PDF file containing all the lectures is available here: Scientific Computing with Python

License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.