NumPy Basic Indexing & Reshaping Practice - Learn NumPy Series

This video is apart of a full NumPy Course - Start here:
https://www.youtube.com/watch?v=9fcTq8PDWWA&list=PLc_Ps3DdrcTuf3e-BBpDv8r9jbOB5Wdv-

In this one we'll get some more practice reshaping and indexing arrays.

#Python #NumPy #Tutorial

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Full code from the video:
import numpy as np

array_a = np.array([[1,2,3,4],[5,6,7,8],[9,10,11,12],[13,14,15,16]])

array_b = array_a.reshape(2,8)
print(array_b)

array_c = array_a.T
print(array_c.T)

print(array_c[0], array_c[1])

print(array_a[-1,-1])
https://github.com/Derrick-Sherrill/NumPy-Udemy-Scripts/blob/master/Topic%202%20-%20Reshape%20%26%20Indexing/numpy-indexing-project.py
Packages (& Versions) used in this video:
Python 3.7
NumPy 1.17

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Code from this tutorial and all my others can be found on my GitHub:
https://github.com/Derrick-Sherrill/DerrickSherrill.com

Check out my website:
https://www.derricksherrill.com/

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Видео NumPy Basic Indexing & Reshaping Practice - Learn NumPy Series канала Derrick Sherrill