Python - For Loops vs. List Comprehension!

Tutorial that compares creating lists with for loops against list comprehension. The main takeaway is that list comprehension is significantly faster than for loops when creating simple lists (list containing numbers ranging from 0 to 25 for example). However the time it takes to create more complicated lists that contain multiple calculations (taking the square root of a number or raising it to a certain power before adding it to a list) or that use multiple conditions is much smaller (perhaps negligible depending on your use) when comparing for loops and list comprehension.

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------Video Chapters------
0:00 - Intro
0:16 - Defining for loops and list comprehension within Python
1:51 - Creating a list of numbers
6:31 - Creating a list from a calculation
9:28 - Creating a list from a conditional statement
13:39 - Creating a list from multiple conditional statements
17:08 - Unpacking a nested list into a single list
21:52 - Creating multiple lists
26:28 - References and additional learning