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Stoneriverelearning – Python NumPy: Scientific Computing with Python

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Description

This course will give you thorough understanding of Numpy’ s features and when to use them. Numpy is mainly used in matrix computing. We’ll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which Numpy is helpful. There are a few computational computing libraries available for Python. It’s important to know when to choose one over the other. Through rigorous exercises, you’ll experience where Numpy is powerful and develop and understanding of the scenarios in which Numpy is most useful.

  • Express fully why Numpy should be used
  • Ability to install Numpy
  • Understanding of how to use Numpy

 

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Informative, clear, what I expected, but nothing amazing at this point.

Andrew Klingler

Straight forward and to the point lectures that are very informative.

Tim Robinson

 

Course Curriculum

 

NumPy
  •  
    Start

    Introduction (1:13)

  •  
    Preview

    What is Numpy (3:12)

  •  
    Start

    Basic Mathematics (6:23)

  •  
    Start

    Tour of Numpy I (8:02)

  •  
    Start

    Tour of Numpy II (10:17)

  •  
    Start

    Matrices (6:56)

  •  
    Preview

    Deviations (3:18)

  •  
    Start

    Eigen Values (5:18)

  •  
    Start

    Covariance (9:55)

  •  
    Start

    Project (Determinants) (9:33)

  •  
    Start

    Summary (1:03)

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