NumPy Done Right: Speed, Efficiency, and Best Practices

NumPy is a Python library that provides support for multi-dimensional arrays and mathematical functions. When used properly it can be a high effectively tool for scientific computing, data analysis and machine learning.

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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