Introduction to Numerical Computing in Python with NumPy (Part 1)

NumPy is a Python library that provides support for multi-dimensional arrays and mathematical functions. This session covers the basics of NumPy. Participants will learn about the NumPy array, which is the principal data type in NumPy, and how it differs from similar Python structures like lists. There will be particular emphasis on understanding the two core features of NumPy arrays: vectorization and broadcasting.

See Part 2 on 9/25 to learn about the more advanced features of NumPy.

Format: Presentation and hands-on

Learning objectives: Participants will come away with the ability to understand and write effective NumPy code.

Knowledge prerequisites: Basic Python

Hardware/software prerequisites: Participants will need a Python installation on their laptop or a remote system such as Adroit. If an account on Adroit is needed then please request one at least one hour before the workshop.

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Co-hosted with: GradFUTURES

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