How to Create NumPy Array from Scratch - Beginner Python NumPy Exercises #2

This is the beginner Python NumPy exercises #2 and in this video, we walk through a few examples on how to create NumPy Array from scratch using NumPy functions. This video follows the lecture (https://youtu.be/F5sKh-3V3KA) so I suggest you watch the lecture first, then try to do exercises on your own before watching this video for the solutions. All python notebooks and links to the lecture video are above.

Creating NumPy arrays is especially important for any data analytics or data science work. We’ll go through a few interactive examples and dive right into creating NumPy arrays using various functions like zeros(). ones(), full(), arange(), linspace(), random.random(), random.normal(), random.randint(), eye(), and empty(). I end with a short exercise on NumPy data types that could be used to create the arrays.

Python numpy documentation for the functions covered:
np.zeros(): https://numpy.org/doc/stable/reference/generated/numpy.zeros.html
np.ones(): https://numpy.org/doc/stable/reference/generated/numpy.ones.html
np.full(): https://numpy.org/doc/stable/reference/generated/numpy.full.html
np.arange(): https://numpy.org/doc/stable/reference/generated/numpy.arange.html
np.linspace(): https://numpy.org/doc/stable/reference/generated/numpy.linspace.html
np,random.random(): https://numpy.org/doc/stable/reference/random/generated/numpy.random.random.html
np.random.normal(): https://numpy.org/doc/stable/reference/random/generated/numpy.random.normal.html
np.randint(): https://numpy.org/doc/stable/reference/random/generated/numpy.random.randint.htm
np.eye(): https://numpy.org/doc/stable/reference/generated/numpy.eye.html
np.empty(): https://numpy.org/doc/stable/reference/generated/numpy.empty.html

Let me know if you have any questions and please offer feedback on how I can improve to help you better.

If you enjoyed this video, please throw in a like and subscribe to my channel. I’ll be posting a lot more videos on data science concepts that cover all things python and SQL.

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Subscribe to my channel: https://bit.ly/2WOgqil
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Watch the lecture before going through these practice exercises with me: https://youtu.be/F5sKh-3V3KA

Follow along interactively with the python notebooks in this video!

Python notebook WITHOUT solutions used in the video: https://bit.ly/3dASHZM

Python notebook WITH solutions used in the video: https://bit.ly/3dFxjCB

Here’s help on how to run a python notebook using Google Colabs: https://bit.ly/2YXKR8o

Much of the content was adapted from the book and GitHub of Jake VanderPlas’s Python Data Science Handbook: https://jakevdp.github.io/PythonDataScienceHandbook/
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