As we saw that NumPy arrays are really useful in Python, creating a NumPy array when the knowledge of how to create it is also important. We can create NumPy arrays from different objects there are various way to create arrays in NumPy. For example, you can create an array from a regular Python list, or tuple. Using the array function mainly np . array of the object, the type of the resulting array is deduced from the type of the elements in the sequences. Often the elements of an array are originally unknown, but its size is known. Hence NumPy offers several functions to create arrays with initial content. So there are many ways of creating arrays. For example, if you want an array of zeros, you've got the function np . zeros if you want an area of once we've got np . once, and if we want an empty array we've got mp dot empty there are many more functions similar to this in order to create a sequence of numbers. NumPy provides a function or other functions that does this for us. A rage function and NumPy returns evenly spaced values within a given interval specify Linspace returns evenly spaced values within a given interval. It stands for linearly spaced and there are many more functions similar to this