CME193: IntroductiontoScientificPython Lecture5: Numpy ...
CME 193: Introduction to Scientific Python Lecture 5: Numpy, Scipy, Matplotlib
Sven Schmit
stanford.edu/~schmit/cme193
5: Numpy, Scipy, Matplotlib
5-1
Contents
Second part of course Numpy Scipy Matplotlib Exercises
5: Numpy, Scipy, Matplotlib
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Congrats, we are halfway!
Up to now Covered the basics of Python Worked on a bunch of tough exercises
From now Cover specific topics Less exercises Time for project
5: Numpy, Scipy, Matplotlib
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Feedback
Thanks for the great feedback, very useful
5: Numpy, Scipy, Matplotlib
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Remaining topics
Numpy, Scipy, Matplotlib (today) IPython notebooks, Pandas, Statsmodels, SKLearn Exception handling, unit testing, recursion Brief look at some more modules
Flask Regex ... (suggestions welcome)
5: Numpy, Scipy, Matplotlib
5-5
Contents
Second part of course Numpy Scipy Matplotlib Exercises
5: Numpy, Scipy, Matplotlib
5-6
Numpy
Fundamental package for scientific computing with Python N-dimensional array object Linear algebra, Fourier transform, random number capabilities Building block for other packages (e.g. Scipy) Open source
5: Numpy, Scipy, Matplotlib
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Numpy
Fundamental package for scientific computing with Python N-dimensional array object Linear algebra, Fourier transform, random number capabilities Building block for other packages (e.g. Scipy) Open source
5: Numpy, Scipy, Matplotlib
5-8
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