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DS-1000 / 439 / Let X be a M x N matrix. Denote xi the i-th column of X. I want to create a 3…

Problem

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Problem:
Let X be a M x N matrix. Denote xi the i-th column of X. I want to create a 3 dimensional N x M x M array consisting of M x M matrices xi.dot(xi.T).
How can I do it most elegantly with numpy? Is it possible to do this using only matrix operations, without loops?
A:
<code>
import numpy as np
X = np.random.randint(2, 10, (5, 6))
</code>
result = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Numpy

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Source and history

upstream_id / Original problem ID
439
task_id
40f74efd-0b32-59e0-90b8-85b56f0aa71f
task_key
default--test--439
task_revision_id
1
config / split
default / test

Official source

initial import