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Python NumPy – Scientific Computing with Python

Original price was: $29.00.Current price is: $9.90.

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Same author: Python NumPy
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Stone River eLearning - Python NumPy: Scientific Computing with Python (eLearning Technology Courses)

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

We guarantee that all our online courses will meet or exceed your expectations. If you are not 100% satisfied with 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 with 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

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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For further information, Scientific Computing course, Python NumPy course review, Scientific Computing video, Scientific Computing audio


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