# Concatenating Two DataFrames
Intuition\nThe problem seems to involve concatenating two DataFrames (df1 and df2) into a single DataFrame.\n\n# Approach\nTo solve this problem, I would use th
# Intuition\nThe problem seems to involve concatenating two DataFrames (`df1` and `df2`) into a single DataFrame.\n\n# Approach\nTo solve this problem, I would use the `pd.concat()` function provided by Pandas. This function concatenates DataFrames vertically (i.e., stacking them on top of each other). By passing a list containing both DataFrames (`[df1, df2]`), we can concatenate them into a single DataFrame.\n\n# Complexity\n- Time complexity: $$O(m + n)$$, where $$m$$ is the number of rows in `df1` and $$n$$ is the number of rows in `df2`. The time complexity depends on the total number of rows in both DataFrames since we need to iterate through all rows during concatenation.\n- Space complexity: $$O(m + n)$$, where $$m$$ is the number of rows in `df1` and $$n$$ is the number of rows in `df2`. The space complexity is proportional to the total number of rows in both DataFrames.\n\n# Code\n```python\nimport pandas as pd\n\ndef concatenateTables(df1: pd.DataFrame, df2: pd.DataFrame) -> pd.DataFrame:\n    return pd.concat([df1, df2])\n
['Pandas']