Understanding The Numpy Mindset - Numerical Python

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Understanding The Numpy Mindset - Numerical Python (Size: 1.4 GB)
  1 - Whats This Course About.mp4 24.9 MB
  10 - A Glimpse At NumPys Documentation.mp4 19.3 MB
  10 - NumPys documentation.txt 0 B
  11 - More Than One Dimension.mp4 28.4 MB
  12 - Creating Arrays of Random Numbers The FivePlayer ThreeRound Game.mp4 38.1 MB
  13 - Broadcasting A Brief Introduction.mp4 46.7 MB
  14 - Another Glimpse At NumPys Documentation.mp4 174.6 MB
  14 - NumPys documentation.txt 0 B
  15 - Lets Add One More Dimension 3D Arrays.mp4 44.5 MB
  16 - Boolean Operations on NumPy Arrays.mp4 28.2 MB
  17 - Boolean Indexing and Filtering.mp4 39.4 MB
  18 - Theres Lots More in NumPys API.mp4 62 MB
  19 - Views and Copies A Brief Introduction.mp4 50.4 MB
  2 - Lets Start With Lists Yes Lists.mp4 25.3 MB
  20 - Download the data required for this project.txt 102.4 B
  20 - Reading The Data From a CSV File to a NumPy Array.mp4 234 MB
  21 - Remove What We Dont Need From The Array.mp4 114.6 MB
  22 - Finding the Minimum Maximum and Mean Temperatures.mp4 41.4 MB
  23 - Grouping Temperatures Using a Histogram.mp4 47 MB
  24 - Grouping Temperatures Using a Histogram Plotting the Data.mp4 25.7 MB
  25 - From an Equation on Paper to An Equation on Computer nparange and nplin.mp4 72.8 MB
  26 - Plotting The Equation.mp4 48.4 MB
  27 - Final Words.mp4 16.1 MB
  3 - The LesserKnown Array.mp4 37.2 MB
  4 - Installing NumPy.mp4 13.7 MB
  5 - Finally Say Hello to ndarray.mp4 61.7 MB
  6 - Looking Ahead to Some Other ndarray Features.mp4 34.6 MB
  7 - Performing Operations ElementbyElement in NumPy Vectorisation.mp4 39 MB
  8 - Comparing Loops With Lists List Comprehensions and NumPy Vectorisation.mp4 47.6 MB
  9 - Lets Race Timing The Three Versions.mp4 44.9 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 32 total files

Description


Understanding The Numpy Mindset • Numerical Python

https://CourseWikia.com

Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.43 GB | Duration: 3h 33m

A concise course to master the NumPy fundamentals

What you'll learn
Learn the fundamentals of Python's NumPy package
Understand the mindset needed to work with NumPy
Learn to create and use NumPy's ndarray object
Use NumPy in real-world examples

Requirements
You should be familiar with Python fundamentals such as control statements, defining functions, using data structures such as lists

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