AI & MACHINE LEARNING PROGRAM • LEVEL 05 — DATA PREPARATION

Remove Duplicate Records with Python

Learn remove duplicate records with python with a short, executable Python example.

IntermediateDuplicatesData cleaning

PROBLEM UNDERSTANDING

Input and expected output

Sample input
No input required
Sample output
[(1, 'A'), (2, 'B')]

COMPLETE PYTHON PROGRAM

Complete Python implementation

ai-ml-05-remove-duplicates.py
Open in compiler
rows = [(1, 'A'), (2, 'B'), (1, 'A')]
unique = list(dict.fromkeys(rows))
print(unique)

GUIDED CODE TOUR • NOT LIVE EXECUTION

Study the program line by line

Use the real compiler button above to run and debug with different inputs.

CURRENT STEP

Select Start to walk through the important lines.

SELECTED LINE

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EXPECTED OUTPUT FOR THE SAMPLE

[(1, 'A'), (2, 'B')]
0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

  1. Initialize the sample values used to remove duplicate records.
  2. Apply Duplicates and Data cleaning to compute the required result.
  3. Display the result for remove duplicate records and compare it with the documented sample output.

This example of remove duplicate records computes the result directly from the prepared sample data. It demonstrates Duplicates and Data cleaning and prints a deterministic result that can be checked against the sample output.

EFFICIENCY

Time and space complexity

Time complexity

O(n)

Auxiliary space

O(n)

DEBUGGING CHECKLIST

Common mistakes

Check this

For remove duplicate records, keep the data shape and value types consistent with Duplicates.

Check this

Apply Duplicates in the same order shown by the algorithm; changing the order can change the result.

Check this

Verify the final Duplicates and Data cleaning result against the sample before trying new data.

Try it yourself

Practice: Run the program with the sample input, predict its output, and then test one boundary case of your own.