Web Reference: This is part 2 of the mega numpy tutorial. In this part, I go into the details of the advanced features of numpy arrays that are essential for data analysis and manipulations. The basics # NumPy’s main object is the homogeneous multidimensional array. It is a table of elements (usually numbers), all of the same type, indexed by a tuple of non-negative integers. In NumPy dimensions are called axes. For example, the array for the coordinates of a point in 3D space, [1, 2, 1], has one axis. Welcome to this deep-dive tutorial on NumPy functions that every Python learner and data enthusiast should know.
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