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Numpy Matrices and Vectors

Take advantage of the NumPy library and build powerful and functional arrays and matrices.

Course Description

NumPy is a library used in python, containing data structures and functions that allow for the usage of powerful and functional arrays and matrices. With the ability to build arrays that are considerably faster than the regular lists in Python, and to make more efficient mathematical computations, NumPy’s applications range from data science to machine learning, game development, and more.

Goals

After being shown how to download and install Anaconda and Jupyter, you will learn:

NumPy arrays: 

  • Creating NumPy arrays
  • Fetch operations
  • Modification operations

Numpy matrices:

  • Creating NumPy matrices
  • Fetch operations
  • Modification operations

Prerequisites

  • Basic Python skills
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Curriculum

  • Course Requirements
  • Introduction to the Course
    03:21
    Preview
  • Installing Anaconda and Jupyter for Mac
    05:59
  • Installing Anaconda and Jupyter for Windows
    05:43
  • Creating Numpy Arrays
    12:04
    Preview
  • Array Fetch Operations
    11:04
  • Array Modification Operations
    11:12
  • Array Example with Student Grades
    12:04
  • Creating Numpy Matrices
    07:18
  • Matrix Fetch Operations
    07:23
  • Matrix Modification Operations
    08:49
  • Matrix Example with Images
    09:03
  • Summary and Outro
    02:50
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Numpy Matrices and Vectors
This Course Includes
  • 1.5 hours
  • 13 Lectures
  • 1 Resources
  • Completion Certificate Sample Certificate
  • Lifetime Access Yes
  • Language English
  • 30-Days Money Back Guarantee

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