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Python NumPy For Your Grandma - 3.7 random
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In this video, we’ll see how you can use NumPy's random module to shuffle arrays, sample values from arrays, and draw values from a host of probability distributions. And then we'll see why everything I just showed you is deprecated, and how to updated it to modern standards :)
0:00 - intro / setup
4:01 - sample rows from array
6:45 - probability distributions
7:56 - motivation for generic Generator class
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0:00 - intro / setup
4:01 - sample rows from array
6:45 - probability distributions
7:56 - motivation for generic Generator class
--- Code ------------------------
--- Vids & Playlists ----------------------------------
--- Subscribe To Mailing List ----------------------------------
--- Support ------------------------
Python NumPy For Your Grandma (Promo)
Python NumPy For Your Grandma - 3.1 Broadcasting
Python NumPy For Your Grandma - 1.1 Intro
Python NumPy For Your Grandma - 4.6 Sorting
Python NumPy For Your Grandma - 2.1 NumPy Array Motivation
Python NumPy For Your Grandma - 2.6 Basic Math On Arrays
Python NumPy For Your Grandma - 4.1 where()
Python NumPy For Your Grandma - 4.4 concatenate()
Python NumPy For Your Grandma - 3.10 Challenge: Psycho Parent
Python NumPy For Your Grandma - 3.9 Challenge: Professor Prick
Python NumPy For Your Grandma - 2.3 Creating NumPy Arrays
Python NumPy For Your Grandma - 3.7 random
Python NumPy For Your Grandma - 5.5 Challenge: The Game of Doors
Python NumPy For Your Grandma - 2.2 NumPy Array Basics
Python NumPy For Your Grandma - 4.3 all() and any()
Python NumPy For Your Grandma - 6.7 Challenge: Outer Product
Python NumPy For Your Grandma - 4.2 Math Functions
Python NumPy For Your Grandma - 3.3 reshape()
Python NumPy For Your Grandma - 5.1 Advanced Array Indexing
Python NumPy For Your Grandma - 6.3 Challenge: One-Hot-Encoding
Python NumPy For Your Grandma - 4.7 unique()
Python NumPy For Your Grandma - 3.8 Challenge: Love Distance
Python NumPy For Your Grandma - 6.4 Challenge: Cumulative Rainfall
Python NumPy For Your Grandma - 5.2 View vs Copy
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