Web Reference: For integer arguments the function is roughly equivalent to the Python built-in range, but returns an ndarray rather than a range instance. When using a non-integer step, such as 0.1, it is often better to use numpy.linspace. Episode #17 of the Coding Specs Python Tutorial Series.Discover how to create custom ranges and matrices using numpy.Subscribe to the channel:https://www.you... The numpy.arange () function creates an array by generating a sequence of numbers based on specified start, stop, and step values. It is similar to Python's built-in range () function but returns a NumPy array.
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