Problem 1

Import NumPy under the alias np.

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Problem 2

Import pandas under the alias pd.

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Problem 3

Given df1 and df2 below, concatenate the two DataFrames.

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df1 = pd.DataFrame({'A': ['A0', 'A1', 'A2', 'A3'],
               'B': ['B0', 'B1', 'B2', 'B3'],
               'C': ['C0', 'C1', 'C2', 'C3'],
               'D': ['D0', 'D1', 'D2', 'D3']},
              index=[0, 1, 2, 3])


df2 = pd.DataFrame({'A': ['A4', 'A5', 'A6', 'A7'],
                  'B': ['B4', 'B5', 'B6', 'B7'],
                  'C': ['C4', 'C5', 'C6', 'C7'],
                  'D': ['D4', 'D5', 'D6', 'D7']},
                   index=[4, 5, 6, 7])
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#Solution goes here

Problem 4

Given df1 and df2 below, concatenate the two DataFrames along their columns (instead of along their rows).

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#Solution goes here