# (Python Example for Beginners)

Write a Pandas program to merge two given dataframes with different columns.

**Test Data:**

data1: key1 key2 P Q 0 K0 K0 P0 Q0 1 K0 K1 P1 Q1 2 K1 K0 P2 Q2 3 K2 K1 P3 Q3

data2: key1 key2 R S 0 K0 K0 R0 S0 1 K1 K0 R1 S1 2 K1 K0 R2 S2 3 K2 K0 R3 S3

**Sample Solution:**

**Python Code :**

Sample Output:

Original DataFrames: key1 key2 P Q 0 K0 K0 P0 Q0 1 K0 K1 P1 Q1 2 K1 K0 P2 Q2 3 K2 K1 P3 Q3 -------------------- key1 key2 R S 0 K0 K0 R0 S0 1 K1 K0 R1 S1 2 K1 K0 R2 S2 3 K2 K0 R3 S3 Merge two dataframes with different columns: P Q R S key1 key2 0 P0 Q0 NaN NaN K0 K0 1 P1 Q1 NaN NaN K0 K1 2 P2 Q2 NaN NaN K1 K0 3 P3 Q3 NaN NaN K2 K1 4 NaN NaN R0 S0 K0 K0 5 NaN NaN R1 S1 K1 K0 6 NaN NaN R2 S2 K1 K0 7 NaN NaN R3 S3 K2 K0

## Pandas Example – Write a Pandas program to merge two given dataframes with different columns

## Two Machine Learning Fields

There are two sides to machine learning:

**Practical Machine Learning:**This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.**Theoretical Machine Learning**: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.

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