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Python NumPy Programming mini-course - April 24

PICSciE (Princeton Institute for Computational Science and Engineering) is offering a mini-course that will introduce participants to array programming and math functions within Python's NumPy module. 

PICSciE Mini-Course: Python NumPy Programming
Instructor:  Eliot Feibush, Computational Scientist, PPPL

April 24, 2014
2:00-3:30 pm
Lewis Science Library, New Media Center

The course is intended for researchers working with data generated by simulations or acquired from experiments and other studies. Experience with Python Lists, Tuples, and the Math module is strongly recommended background for the session. Space is limited to 25 participants, so register online or contact Andrea Rubinstein at alrubins@princeton.edu or 258-1397 to reserve your seat.

For complete course details, see the Python NumPy Programming listing on the Research Computing website. 

For other training opportunities that relate to research comptuing, see the Research Computing Events.