How to Create Arrays and Functions in Python - Complete Python NumPy Tutorial for Beginners #2

Опубликовано: 23 Октябрь 2024
на канале: StrataScratch

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This is the complete Python NumPy tutorial for beginners video #2 and in this video, we walk through how to create Arrays and Functions in Python using NumPy. This is especially important for any data analytics or data science work. We dive right into create 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 lecture 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/referenc...
np.ones(): https://numpy.org/doc/stable/referenc...
np.full(): https://numpy.org/doc/stable/referenc...
np.arange(): https://numpy.org/doc/stable/referenc...
np.linspace(): https://numpy.org/doc/stable/referenc...
np,random.random(): https://numpy.org/doc/stable/referenc...
np.random.normal(): https://numpy.org/doc/stable/referenc...
np.randint(): https://numpy.org/doc/stable/referenc...
np.eye(): https://numpy.org/doc/stable/referenc...
np.empty(): https://numpy.org/doc/stable/referenc...

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

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Python notebook used in the video (you'll need to be signed in to Google to download): https://bit.ly/3dIEXfK

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/PythonDataS...
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