GitHub - chichilalescu/python-for-scientific-computing: lecture notes for a python for scientific computing class

a bunch of lecture notes for a python for scientific computing class. ideally, they should be useless unless you are taking the class.

if you are taking the class, feel free to supplement these with any information from any of the following:

Name		Name	Last commit message	Last commit date
Latest commit History 79 Commits
TA Class Notes		TA Class Notes
TA Sessions		TA Sessions
data		data
homework		homework
.gitignore		.gitignore
00 Introduction.ipynb		00 Introduction.ipynb
01 Python basics.ipynb		01 Python basics.ipynb
02 Variables, lists and arrays.ipynb		02 Variables, lists and arrays.ipynb
03 Classes.ipynb		03 Classes.ipynb
04 NumPy basics.ipynb		04 NumPy basics.ipynb
05 Linear Interpolation.ipynb		05 Linear Interpolation.ipynb
06 Lagrange Interpolation.ipynb		06 Lagrange Interpolation.ipynb
07 Data structures.ipynb		07 Data structures.ipynb
08 Introduction to mayavi.ipynb		08 Introduction to mayavi.ipynb
09 Floating point numbers.ipynb		09 Floating point numbers.ipynb
10 SymPy.ipynb		10 SymPy.ipynb
11 More sympy.ipynb		11 More sympy.ipynb
12 Animations.ipynb		12 Animations.ipynb
13 Mayavi animations.ipynb		13 Mayavi animations.ipynb
14 General comments.ipynb		14 General comments.ipynb
LICENSE		LICENSE
README.rst		README.rst

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