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DS-1000 / 822 / I'd like to do some operations to my df. And there is an example below.

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Problem:

I'd like to do some operations to my df. And there is an example below.
df

Col1   Col2         Col3
 C      33     [Apple, Orange, Banana]
 A      2.5    [Apple, Grape]
 B      42     [Banana]
after the operations, the df is converted into

df

Col1   Col2   Apple   Orange   Banana   Grape
 C      33     1        1        1       0
 A      2.5    1        0        0       1
 B      42     0        0        1       0
Generally, I want this pandas column which consisting of a list of String names broken down into as many columns as the unique names.
Maybe it's like one-hot-encode them (note that value 1 representing a given name existing in a row and then 0 is absence).
Could any one give me any suggestion of pandas or sklearn methods? thanks!

A:

<code>
import pandas as pd
import numpy as np
import sklearn
df = load_data()
</code>
df_out = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Sklearn

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Source and history

upstream_id / Original problem ID
822
task_id
34251809-6481-52a7-aa81-f8c554235c70
task_key
default--test--822
task_revision_id
1
config / split
default / test

Official source

initial import