Learn Python NumPy #3 - Array Math Operations
In this video we'll cover NumPy Math operations that we can do on Arrays.
The full list of universal functions that I mentioned in this video can be found here:
https://docs.scipy.org/doc/numpy/refe...
In this video we'll cover:
-NumPy Array Functions
How to add numpy Arrays
How to subtract, divide, multiply numpy arrays,
Take square roots of NumPy arrays
Linear operations on NumPy arrays
-Talk about vectorization and the alternative python for loops
#Python #NumPy #Tutorial
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Happy Coding - Until Next Time!
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GitHub link for code from this video:
https://github.com/Derrick-Sherrill/D...
Code from this video:
import numpy as np
ListA = [1,2,3,4]
ListB = [-1,2,4,6]
A = np.array(ListA, dtype=np.int32)
B = np.array(ListB, dtype=np.int32)
print(A)
ListA2 = []
for element in ListA:
element = element +1
ListA2.append(element)
print(ListA2)
print(A+1)
print(np.add(A,B))
print(A+B)
print(A-B)
print(A*B)
print(A/B)
print(np.sqrt(A))
Endscreen Image from this video:
https://pixabay.com/it/photos/animali...
(Thanks to Pexels from Pixabay)
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Code from this tutorial and all my others can be found on my GitHub:
https://github.com/Derrick-Sherrill/D...
Check out my website:
https://www.derricksherrill.com/
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Useful Links
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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...
-Numpy
https://www.numpy.org/
-xlrd
https://xlrd.readthedocs.io/en/latest/
-TensorFlow
https://www.tensorflow.org/api_docs/p...
-Matplotlib
https://matplotlib.org/
-Django Framework
https://www.djangoproject.com/
-Beautiful Soup
https://www.crummy.com/software/Beaut...
(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!
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