Mastering Numpy: 100 Tips with Python One-liners

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Here are 100 tips and tricks for using NumPy, a powerful library for numerical computing in Python:

Array Creation and Manipulation:

1. Create an array: numpy.array([1, 2, 3])
2. Create a range: numpy.arange(start, stop, step)
3. Create evenly spaced values: numpy.linspace(start, stop, num)
4. Create an array filled with zeros: numpy.zeros(shape)
5. Create an array filled with ones: numpy.ones(shape)
6. Create an identity matrix: numpy.eye(n)
7. Reshape an array: array.reshape(new_shape)
8. Flatten an array: array.flatten()
9. Transpose an array: array.T
10. Concatenate arrays horizontally: numpy.hstack((array1, array2))
11. Concatenate arrays vertically: numpy.vstack((array1, array2))
12. Split an array: numpy.split(array, indices_or_sections)

Array Indexing and Slicing:

1. Access an element: array[i]
2. Slice an array: array[start:stop:step]
3. Access the last element: array[-1]
4. Access multiple elements: array[[1, 3, 5]]