Python NumPy – Scientific Computing with Python

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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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This course comes with:

• 🎥 High-quality video lessons that guide you step-by-step.
• 📄 Downloadable resources and course materials.
• 🧩 Interactive exercises to enhance your learning experience.
• 📧 Access to customer support for any assistance you need.

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