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Python NumPy

Video Description

At the end of this course, you will have a 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. You'll also know how to install Numpy.

Table of Contents

  1. Python Numpy
    1. Introduction 00:01:14
    2. What is Numpy 00:03:12
    3. Basic Mathematics 00:06:23
    4. Tour of Numpy I 00:08:03
    5. Tour of Numpy II 00:10:17
    6. Matrices 00:06:56
    7. Deviations 00:03:19
    8. Eigen Values 00:05:19
    9. Covariance 00:09:56
    10. Project (Determinants) 00:09:34
    11. Summary 00:01:04