The Assembly's Waji Rahman continues the series on building blocks of Python data science with a look at NumPy - a core library for mathematical data manipulation. We'll cover basic functions for handling arrays & number sets as well as show you some basic image processes.
All the code is run on a Jupyter Notebook, so do be sure to install that first via Anaconda, as mentioned in the video.
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