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Python NumPy – Scientific Computing with Python
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
Introduction (1:13)
What is Numpy (3:12)
Basic Mathematics (6:23)
Tour of Numpy I (8:02)
Tour of Numpy II (10:17)
Matrices (6:56)
Preview
Deviations (3:18)
Eigen Values (5:18)
Covariance (9:55)
Project (Determinants) (9:33)
Summary (1:03)
Frequently Asked Questions
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The course s now and never ends! It is a completely self-paced online course – you decide when you and when you finish.
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How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like – across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
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