Python for Data Science (BEGINNERS!) Pt. 4: List Comprehension & Numpy Arrays (Jupyter)

This is the fourth video in my Series Python 101: Python Programming for Absolute Beginners.

In today's video we will review for-loops to learn how to apply an operation to each element in a list. We will also get to know the very Python concept of list comprehension to do the same thing in a single line of code.

Lastly, we will use the power of numpy arrays to do the same thing.
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TIMESTAMPS
00:00 - Intro
00:35 - Element-wise operations on lists
01:31 - For loops on lists
05:30 - List Comprehension
06:58 - Numpy Arrays
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Be sure to have Python 3 and Jupyter notebook installed to be able to follow along.
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Jupyter Notebook:
I suggest installing with pip (NOT anaconda):
pip3 install jupyter

And in case you still need to install Python itself (make sure it's Python 3!):
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Coming next: Multidimensional Numpy Arrays & Pandas Dataframes.