Real-Time Python Interview Experience - Count Duplicate Values from a List

 Today I’m going to share a real-time interview experience that really improved my logical thinking as a DevOps engineer. During the interview, I was given a small Python task that looked simple at first, but it was actually a good brainstorming challenge.

The task was to convert a list into a dictionary and count how many times each car name appeared.



Interview Task

cars = ["audi", "audi", "audi", "bmw", "Jaguar", "jaguar"]

The expected output was:

{'audi': 3, 'bmw': 1, 'jaguar': 2}

At first, this task was a little confusing for me because I needed to understand how counting logic works in Python dictionaries. But after practicing the logic step by step, I solved it successfully.

Step-by-Step Solution

cars = ["audi", "audi", "audi", "bmw", "Jaguar", "jaguar"]
final_car_count = {}
for car in cars:
    # Convert all values into lowercase
    car = car.lower()
    # Check if value already exists
    if car not in final_car_count:
        # First occurrence
        final_car_count.update({car: 1})
    else:
        # Increase previous count
        final_car_count.update({car: final_car_count[car] + 1})
print(final_car_count)

Output

{'audi': 3, 'bmw': 1, 'jaguar': 2}

Easy Understanding of the Logic

  • First, we created an empty dictionary.
  • Then we used a for loop to check every car name from the list.
  • lower() is used to avoid case sensitivity issues like "Jaguar" and "jaguar".
  • If the car name is not already in the dictionary, we add it with value 1.
  • If the car name already exists, we increase its count by 1.

This type of question is very common in Python and DevOps interviews because it checks your:

  • Logical thinking
  • Problem-solving skills
  • Understanding of loops and dictionaries

Final Thoughts

This was a simple but very tricky interview task. Small tasks like this help improve programming logic and confidence during technical interviews.

If you are preparing for DevOps or Python interviews, I highly recommend practicing these types of dictionary and loop-based problems daily.

I hope you liked this blog and learned something useful from this real-time interview experience.

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