Friday 26 May 2023

Python Interview Questions | Fresher| Senior Developer | Technical Lead




 Python interview questions that are commonly asked to freshers:


  • What is Python? Mention some key features of Python.
  • What are the differences between Python 2 and Python 3?
  • How do you install third-party packages in Python?
  • Explain the concept of Python virtual environments.
  • What are the different data types available in Python?
  • Explain the difference between a list and a tuple in Python.
  • How do you handle exceptions in Python? Provide an example.
  • What is the purpose of the __init__ method in a Python class?
  • How do you open and read a file in Python?
  • What is the difference between append() and extend() methods in Python lists?
  • Explain the concept of a generator in Python. How is it different from a regular function?
  • What is the difference between shallow copy and deep copy in Python?
  • How do you define a lambda function in Python? Provide an example.
  • Explain the concept of decorators in Python. Provide an example.
  • What is the difference between __str__ and __repr__ methods in Python?
  • How can you remove duplicate elements from a list in Python?
  • Explain the difference between a module and a package in Python.
  • How do you perform unit testing in Python?
  • Explain the concept of list comprehensions in Python. Provide an example.
  • How do you handle file handling errors in Python?

Python interview questions that are commonly asked to senior developers:


  • What is a decorator in Python? How do you use decorators?
  • Explain the Global Interpreter Lock (GIL) in Python. How does it impact multi-threading?
  • What are the different ways to achieve concurrency in Python?
  • Explain the concept of metaclasses in Python. Provide an example.
  • How do you handle memory management in Python?
  • What are some common design patterns used in Python?
  • Explain the concept of context managers in Python. Provide an example.
  • What are some differences between a function and a method in Python?
  • How do you handle large datasets in Python? Are there any libraries that can help?
  • Explain the concept of closures in Python. Provide an example.
  • How do you optimize the performance of a Python application?
  • What is the purpose of the __slots__ attribute in a Python class?
  • Explain the difference between shallow copy and deep copy in Python. When would you use each?
  • How do you handle circular imports in Python?
  • What are some best practices for writing clean and maintainable Python code?
  • Explain the concept of generators and iterators in Python. Provide an example.
  • What are some differences between the is and == operators in Python?
  • How do you work with databases in Python? Are there any ORM libraries you are familiar with?
  • Explain the concept of method resolution order (MRO) in Python.
  • How do you handle and raise custom exceptions in Python?
Python interview questions that are commonly asked to technical leads:

As a technical lead, how do you ensure code quality and enforce coding standards in a Python project?


  • Explain the concept of Python decorators. How can they be used to enhance code functionality or provide cross-cutting concerns?
  • What strategies or methodologies do you follow for effective project planning and task estimation?
  • How do you handle technical debt and code refactoring in a Python project?
  • Describe your experience with optimizing Python code for performance. What techniques or tools have you used?
  • How do you approach architectural design and system scalability in a Python application?
  • Explain your experience with integrating Python applications with external systems or APIs.
  • How do you ensure the security of a Python application, including handling sensitive data and preventing common vulnerabilities?
  • Describe your experience with handling and resolving production issues in Python applications.
  • How do you lead a development team and promote collaboration and knowledge sharing?
  • Describe a situation where you faced a technical challenge or roadblock in a Python project and how you resolved it.
  • Explain your experience with working in Agile or other software development methodologies.
  • How do you ensure effective communication and collaboration between technical and non-technical stakeholders in a project?
  • What tools or techniques do you use for automated testing and continuous integration in Python projects?
  • Describe your experience with cloud platforms and deploying Python applications in a cloud environment.
  • How do you ensure the maintainability and extensibility of a Python codebase as it evolves over time?
  • Explain your approach to code reviews and how you provide constructive feedback to team members.
  • Describe a situation where you had to make a technology or architectural decision for a Python project and the factors you considered.
  • How do you mentor and guide junior developers to enhance their skills and contribute effectively to a Python project?
  • What are some best practices for managing technical documentation and knowledge sharing in a Python project?

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