Python Data Science Interview Questions 2024-25

Introduction

Python has become the de facto language for data science due to its readability, versatility, and extensive libraries. If you’re aiming for a data science role, you’ll likely encounter a series of Python-specific questions in your interview. To help you prepare, we’ve compiled a list of common Python data science interview questions and their potential answers.

Fundamental Python Questions

• What are the key differences between Python 2.x and 3.x?
• Explain the concept of list comprehensions in Python.
• What is the purpose of lambda functions in Python?

Data Structures and Algorithms

• How do you implement a stack using a Python list?
• Explain the difference between a list and a tuple in Python.
• Write a Python function to check if a given number is prime.

Data Manipulation with Pandas

• What is Pandas used for in data science?
• How do you handle missing values in a Pandas DataFrame?
• Explain the difference between the loc and iloc indexing methods in Pandas.

Data Visualization with Matplotlib

• What are the different types of plots commonly used in data science?
• How do you customize the appearance of a plot in Matplotlib?

Machine Learning with Scikit learn

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