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Stone River eLearning – Python NumPy: Scientific Computing with Python
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Stone River eLearning – Python NumPy: Scientific Computing with Python
Python NumPy: Scientific Computing with Python
Fundamental scientific library for 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
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)
- Deviations (3:18)
- Eigen Values (5:18)
- Covariance (9:55)
- Project (Determinants) (9:33)
- Summary (1:03)
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