Using NumPy's np.arange() Effectively

Its most important type is an array type called ndarray. NumPy offers a lot of array creation routines for different circumstances. arange is one such function based on numerical ranges. It's often referred to as np.arange because np is a widely used abbreviation for NumPy.

Creating NumPy arrays is important when you're working with other Python libraries that rely on them, like SciPy, Pandas, Matplotlib, scikit-learn, and more. NumPy is suitable for creating and working with arrays because it offers useful routines, enables performance boosts, and allows you to write concise code.

What np.arange is

How to use np.arange

How np.arange compares to the Python built-in class range

Which routines are similar to np.arange

Let's see np.arange in action!



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