Useful Array Attributes of NumPy - Complete Python NumPy Tutorial for Beginners #3

Опубликовано: 31 Октябрь 2024
на канале: StrataScratch

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This is the complete Python NumPy tutorial for beginners video #3 and in this video, we talk about the useful array attributes of NumPy. We start by creating a few NumPy arrays using native NumPy functions like random.randint() and then learn a few useful attributes linked to the NumPy array. Some attributes we discuss are ndim, shape, size, dtype, itemsize, and nbytes.

If you want to read the documentation of what we cover:
np.ndim: https://numpy.org/doc/1.18/reference/...
np.shape: https://numpy.org/devdocs/reference/g...
np.size: https://numpy.org/doc/1.18/reference/...
np.dtype: https://numpy.org/doc/1.18/reference/...
np.itemsize: https://numpy.org/doc/1.18/reference/...
np.nbytes: https://numpy.org/doc/1.18/reference/...

Let me know if you have any questions and please offer feedback on how I can improve to help you better.

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Python notebook used in the video: https://bit.ly/2YWbiLU

Here’s help on how to run a python notebook using Google Colabs: https://bit.ly/2YXKR8o

Much of the content was adapted from the book and github of Jake VanderPlas’s Python Data Science Handbook: https://jakevdp.github.io/PythonDataS...
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