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Data Processing in Python using Numpy
November 1 @ 2:00 pm - 4:00 pm
Modern Languages Building (MLB), Room 2001A
This workshop will introduce participants to Python’s Numpy. We’ll start with a brief explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the instructor will be using these tools). We’ll then introduce the Numpy library and explain the main differences of its data structures against core Python Lists. We’ll demonstrate how to use Numpy to perform arithmetic operations, indexing and slicing. We’ll also discuss and provide examples of concepts such as vectorization, reducing functions and broadcasting.
Although not required, we recommend all participants to have a basic knowledge of Python.