NumPy Essentials for Data Science - part-2 | Multi-Dimensional Array

Published: 05 May 2020
on channel: Harshit Tyagi

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This is the second part of the 2-part series on Numpy essentials.
Important topics covered are:
Creating N-D NumPy arrays along with placeholder functions
Inspecting array using attributes.
Basic arithmetic operations and broadcasting
Commonly used array manipulation functions

Blog post: https://towardsdatascience.com./numpy-essentials-for-data-science-25dc39fae39
Link to the GitHub repo: https://github.com/dswh/python_fundam...
Exercise notebooks can be found here(WIP): t.ly/ns2o
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