Python NumPy: Scientific Computing – Python By Stoneriverelearning
Salepage : Stoneriverelearning – Python NumPy: Scientific Computing – Python
Arichive : Stoneriverelearning – Python NumPy: Scientific Computing – Python
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
We guarantee that all our online courses will meet or exceed your expectations. If you are not 100% satisfied – a course – for any reason at all – simply request a full refund.
That’s our promise to you. We hate games, gimmicks and tricks as much as you do. We guarantee no hassles if you want a refund, so ahead and order – confidence. You have absolutely nothing to lose.
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
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Start
Introduction (1:13)
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Preview
What is Numpy (3:12)
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Start
Basic Mathematics (6:23)
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Start
Tour of Numpy I (8:02)
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Start
Tour of Numpy II (10:17)
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Start
Matrices (6:56)
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Preview
Deviations (3:18)
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Start
Eigen Values (5:18)
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Start
Covariance (9:55)
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Start
Project (Determinants) (9:33)
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Start
Summary (1:03)
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Python NumPy: Scientific Computing – Python By Stoneriverelearning
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