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.

Online read-only versions

Use the following links:

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

Name		Name	Last commit message	Last commit date
Latest commit History 144 Commits
images		images
scripts		scripts
.gitignore		.gitignore
Lecture-0-Scientific-Computing-with-Python.ipynb		Lecture-0-Scientific-Computing-with-Python.ipynb
Lecture-1-Introduction-to-Python-Programming.ipynb		Lecture-1-Introduction-to-Python-Programming.ipynb
Lecture-2-Numpy.ipynb		Lecture-2-Numpy.ipynb
Lecture-3-Scipy.ipynb		Lecture-3-Scipy.ipynb
Lecture-4-Matplotlib.ipynb		Lecture-4-Matplotlib.ipynb
Lecture-5-Sympy.ipynb		Lecture-5-Sympy.ipynb
Lecture-6A-Fortran-and-C.ipynb		Lecture-6A-Fortran-and-C.ipynb
Lecture-6B-HPC.ipynb		Lecture-6B-HPC.ipynb
Lecture-7-Revision-Control-Software.ipynb		Lecture-7-Revision-Control-Software.ipynb
Makefile		Makefile
README.md		README.md
Scientific-Computing-with-Python.pdf		Scientific-Computing-with-Python.pdf
Scientific-Computing-with-Python.tex		Scientific-Computing-with-Python.tex
chapter.tplx		chapter.tplx
stockholm_td_adj.dat		stockholm_td_adj.dat