What is the difference between `sep` and `delimiter` attributes in read_csv() and read_table() in Pandas

This tutorial explains the difference between sep and delimiter in read_csv() and read_table() in Pandas. In short, `sep` and `delimiter` are the same in both read_csv() and read_table() functions in Pandas. You can use either one of them. In both function description, you can see the following statement. 

delimiterstr, default None
       Alias for sep.
import pandas as pd

# use sep=" "
test_df = pd.read_table("test_df.txt", sep=" ")

#print out the dataframe
print(test_df)
   Brand Location  Year  Random_number
0  Tesla       CA  2019             88
1  Tesla       CA  2018             33
2  Tesla       NY  2020             44
3   Ford       MA  2019             55
import pandas as pd

# use delimiter=" "
test_df = pd.read_table("test_df.txt", delimiter=" ")

#print out the dataframe
print(test_df)
   Brand Location  Year  Random_number
0  Tesla       CA  2019             88
1  Tesla       CA  2018             33
2  Tesla       NY  2020             44
3   Ford       MA  2019             55

As you can see, both produced the same results.

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