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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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Course Curriculum
NumPy
StartIntroduction (1:13)
PreviewWhat is Numpy (3:12)
StartBasic Mathematics (6:23)
StartTour of Numpy I (8:02)
StartTour of Numpy II (10:17)
StartMatrices (6:56)
PreviewDeviations (3:18)
StartEigen Values (5:18)
StartCovariance (9:55)
StartProject (Determinants) (9:33)
StartSummary (1:03)
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