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athergeek / PY0101EN-2-4-Sets.ipynb
Created March 6, 2020 06:05
Created on Cognitive Class Labs
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@athergeek
athergeek / PY0101EN-2-4-Sets.ipynb
Created March 6, 2020 06:05
Created on Cognitive Class Labs
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@athergeek
athergeek / PY0101EN-2-4-Sets.ipynb
Created March 6, 2020 06:03
Created on Cognitive Class Labs
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@athergeek
athergeek / PY0101EN-2-4-Sets.ipynb
Created March 6, 2020 06:03
Created on Cognitive Class Labs
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@athergeek
athergeek / PY0101EN-2-4-Sets.ipynb
Created March 6, 2020 06:03
Created on Cognitive Class Labs
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@athergeek
athergeek / PY0101EN-2-4-Sets.ipynb
Created March 6, 2020 06:03
Created on Cognitive Class Labs
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athergeek / PY0101EN-2-4-Sets.ipynb
Created March 6, 2020 06:00
Created on Cognitive Class Labs
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athergeek / PY0101EN-2-4-Sets.ipynb
Created March 6, 2020 06:00
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@athergeek
athergeek / qlearning.py
Created November 23, 2018 00:52 — forked from suhailgupta03/qlearning.py
import numpy as np
import pandas as pd
import random as rand
world_df = pd.read_csv('world01.csv',
names=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
# Change world as multi dimensional array
world = world_df.values
print(world)