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
locandilocindexing 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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