Introduction to Numpy

NumPy Matrices and Vectors

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

 

Includes:
  • 1.6 Hours of Video
  • Certificate of Completion
  • Project Files
  • Closed Captions
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Benefits

  • On-demand, 24/7 access
  • 1.6 hours of video
  • Certificate of completion
  • Project files and PDF notes
  • Closed captions

Overview

NumPy is a library used in python, containing data structures and functionality 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.

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

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Curriculum

Requirements

  • Basic Python skills
  • No experience is needed in NumPy or in working with matrices and specialized arrays
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