Introduction to Python Libraries: SciPy and NumPy

Name: Introduction to Python Libraries: SciPy and NumPy
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Rating: 4.6 (8 reviews)

This free online course will teach you to use the Python libraries SciPy and NumPy for scientific computing.

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Learning Outcomes

In this free course, you will learn how to:

Explain the role of Python libraries SciPy and NumPy
Outline the benefits of Python libraries SciPy and NumPy
Recognise when to choose one Python library over the other
List the steps involved in installing SciPy and NumPy
Describe the reasons to use SciPy to perform complex functions, integrals, statistics and linear algebra
Identify the ways to use NumPy for calculating Eigenvalues, determinants and covariance

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