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?

0 Comments:

Post a Comment

Popular Posts

Categories

AI (27) Android (24) AngularJS (1) Assembly Language (2) aws (17) Azure (7) BI (10) book (4) Books (112) C (77) C# (12) C++ (82) Course (60) Coursera (176) coursewra (1) Cybersecurity (22) data management (11) Data Science (85) Data Strucures (6) Deep Learning (9) Django (6) Downloads (3) edx (2) Engineering (14) Excel (13) Factorial (1) Finance (5) flutter (1) FPL (17) Google (18) Hadoop (3) HTML&CSS (46) IBM (25) IoT (1) IS (25) Java (92) Leet Code (4) Machine Learning (43) Meta (18) MICHIGAN (4) microsoft (3) Pandas (3) PHP (20) Projects (29) Python (719) Python Coding Challenge (155) Questions (2) R (70) React (6) Scripting (1) security (3) Selenium Webdriver (2) Software (17) SQL (40) UX Research (1) web application (8)

Followers

Person climbing a staircase. Learn Data Science from Scratch: online program with 21 courses