Learn Python NumPy – #2 Indexing




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Learn Python NumPy Tutorial series video #2. In this one we’ll cover:
– Indexing 1D NumPy Arrays
– Indexing 2D NumPy Arrays
– Slicing multiple variables out from an array

#Python #NumPy #Tutorial

THANKS SO MUCH FOR ALL THE CONTINUED SUPPORT! (1450+ SUBSCRIBERS!) Thank you all. Your support is really appreciated.

Please let me know comments or suggestions for the videos. Your feedback, both positive and negative, makes the future videos better!

Until next time!

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Code on GitHub:
https://github.com/Derrick-Sherrill/DerrickSherrill.com/blob/master/Numpy_indexing.py

Full code from this video:
import numpy as np

ListA = [0,1,2,3,4,5,6,7,8,9,10]
ListB = [11,12,13,14,15,16,17,18,19,20,21]
A = np.array(ListA, dtype=np.int32)
print(A)

# A[start:stop:step]
print(A[::1])

ListC = [ListA,ListB]
AB = np.array(ListC, dtype=np.int32)
print(AB.shape)

print(AB[1,2:4:1])

print(A[np.array([0,0,0,0,1,2,3])])

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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/

If you liked the video – please hit the like button. It means more than you know. Thanks for watching!!

Useful Links
—————————————————————————————————————–
Python Download:
https://www.python.org/downloads/
(Remember Python 3 is the future!)

I use Atom Text Editor for all my tutorials
Atom Text Editor:
https://atom.io/

Packages I often use in Python tutorials:
-Pandas
https://pandas.pydata.org/pandas-docs/stable/
-Numpy
https://www.numpy.org/
-xlrd
https://xlrd.readthedocs.io/en/latest/
-TensorFlow
https://www.tensorflow.org/api_docs/python
-Matplotlib
https://matplotlib.org/
-Django Framework
https://www.djangoproject.com/
-Beautiful Soup
https://www.crummy.com/software/BeautifulSoup/
(Install through Terminal $pip3 install ….)

Other Useful Services sometimes featured:
-Amazon Web Services (AWS)
https://aws.amazon.com/
-Microsoft Azure
https://azure.microsoft.com/en-us/
-Google Cloud
https://cloud.google.com/
-Juypter Notebooks
https://jupyter.org/

Always looking for suggestions on what video to make next — leave me a comment with your project! Happy Coding!

Source


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Comment List

  • Derrick Sherrill
    November 27, 2020

    why you explain too quick

  • Derrick Sherrill
    November 27, 2020

    you have a great way of explaining!

  • Derrick Sherrill
    November 27, 2020

    Btw, do you live in a hotel? …or you work in consulting so you travel 100% 🙂

  • Derrick Sherrill
    November 27, 2020

    So helpful, thanks Derrick!

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