
Introduction to Python Libraries: SciPy and NumPy
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Enrolled1.5-3 Hours (Contains Video)
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Introduction to Python Libraries: SciPy and NumPy
This free online course will teach you to use the Python libraries SciPy and NumPy for scientific computing.
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- Avg. Duration1.5-3 Hours (Contains Video)
- Available Languages (1)
English
This course is
CPD-Accredited
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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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