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Learn Python NumPy #3 - Array Math Operations
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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:
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
THANKS SO MUCH FOR ALL THE SUPPORT! (1630+ SUBSCRIBERS) You guys are incredible. Your support means more than you know. Thank you.
If you have comments or suggestions about this video or other videos, please let me know - Your comments make the future ones better. Thank you for your feedback, both positive and negative!
Happy Coding - Until Next Time!
*****************************************************************
GitHub link for code from this video:
Code from this video:
import numpy as np
ListA = [1,2,3,4]
ListB = [-1,2,4,6]
print(A)
ListA2 = []
for element in ListA:
element = element +1
print(ListA2)
print(A+1)
print(A+B)
print(A-B)
print(A*B)
print(A/B)
Endscreen Image from this video:
(Thanks to Pexels from Pixabay)
*****************************************************************
Code from this tutorial and all my others can be found on my GitHub:
Check out my website:
If you liked the video - please hit the like button. It means more than you know. Thanks for watching!!
Useful Links
-----------------------------------------------------------------------------------------------------------------
Python Download:
(Remember Python 3 is the future!)
I use Atom Text Editor for all my tutorials
Atom Text Editor:
Packages I often use in Python tutorials:
-Pandas
-Numpy
-xlrd
-TensorFlow
-Matplotlib
-Django Framework
-Beautiful Soup
(Install through Terminal $pip3 install ....)
Other Useful Services sometimes featured:
-Amazon Web Services (AWS)
-Microsoft Azure
-Google Cloud
-Juypter Notebooks
Always looking for suggestions on what video to make next -- leave me a comment with your project! Happy Coding!
The full list of universal functions that I mentioned in this video can be found here:
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
THANKS SO MUCH FOR ALL THE SUPPORT! (1630+ SUBSCRIBERS) You guys are incredible. Your support means more than you know. Thank you.
If you have comments or suggestions about this video or other videos, please let me know - Your comments make the future ones better. Thank you for your feedback, both positive and negative!
Happy Coding - Until Next Time!
*****************************************************************
GitHub link for code from this video:
Code from this video:
import numpy as np
ListA = [1,2,3,4]
ListB = [-1,2,4,6]
print(A)
ListA2 = []
for element in ListA:
element = element +1
print(ListA2)
print(A+1)
print(A+B)
print(A-B)
print(A*B)
print(A/B)
Endscreen Image from this video:
(Thanks to Pexels from Pixabay)
*****************************************************************
Code from this tutorial and all my others can be found on my GitHub:
Check out my website:
If you liked the video - please hit the like button. It means more than you know. Thanks for watching!!
Useful Links
-----------------------------------------------------------------------------------------------------------------
Python Download:
(Remember Python 3 is the future!)
I use Atom Text Editor for all my tutorials
Atom Text Editor:
Packages I often use in Python tutorials:
-Pandas
-Numpy
-xlrd
-TensorFlow
-Matplotlib
-Django Framework
-Beautiful Soup
(Install through Terminal $pip3 install ....)
Other Useful Services sometimes featured:
-Amazon Web Services (AWS)
-Microsoft Azure
-Google Cloud
-Juypter Notebooks
Always looking for suggestions on what video to make next -- leave me a comment with your project! Happy Coding!
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