algorithms, and problem-solving abilities. You might be asked to solve coding problems on a shared code editor or whiteboard.

Prepare for questions related to Python libraries, frameworks, and best practices in software development. The technical interview might involve discussions about your previous projects and how you approached problem-solving.

1. Behavioral Interview: Behavioral interviews assess your soft skills, teamwork, communication, and cultural fit within the company. You might be asked about how you handle challenges, work under pressure, or resolve conflicts.

2. Technical Assessment or Coding Challenge: Depending on the role, you might be given a coding challenge to complete at home. This challenge will evaluate your ability to write clean, efficient, and functional Python code.

3. On-Site Interview (for Senior Roles): For senior positions, you might be invited for an on-site interview. On-site interviews can include technical discussions, problem-solving sessions, and meetings with potential team members or managers.

What is Python, and why is it popular in data processing and analysis?

Explain the differences between Python 2 and Python 3.

What are decorators in Python, and how do they work?

Describe list comprehensions and generator expressions in Python.

What are lambda functions? Provide an example.

Explain the Global Interpreter Lock (GIL) in Python.

What is the purpose of the __init__ method in Python classes?

What are Python decorators, and how are they used in web frameworks?

Explain the concept of Python virtual environments. Why are they useful?

What is the difference between shallow copy and deep copy in Python?

How do you handle exceptions in Python? Explain the try, except, finally, and raise statements.