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arange() returns an instance of NumPy ndarray.range creates an instance of this class that has the same features as other sequences (like list and tuple), such as membership, concatenation, repetition, slicing, comparison, length check, and more.Range and arange() also differ in their return types: You can’t specify the type of the yielded numbers.You have to provide integer arguments.You apply these parameters similarly, even in the cases when start and stop are equal. Parameters and Outputsīoth range and arange() have the same parameters that define the ranges of the obtained numbers: If you want to create a NumPy array, and apply fast loops under the hood, then arange() is a much better solution. In addition, their purposes are different! Generally, range is more suitable when you need to iterate using the Python for loop. The main difference between the two is that range is a built-in Python class, while arange() is a function that belongs to a third-party library (NumPy).
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You’ll see their differences and similarities. range and np.arange() have important distinctions related to application and performance. Python has a built-in class range, similar to NumPy arange() to some extent.
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That’s how you can obtain the ndarray instance with the elements and reshape it to a two-dimensional array.