52 Python Developer Interview Questions Answers [Hindi+English]

Course Description

This video is a comprehensive guide to Python developer interview questions. The instructor, based on their experience from over 200 interviews, provides answers to 52 commonly asked questions. The course is divided into four parts: Mostly Asked Questions, Commonly Asked Questions, Tricky Questions, and Advanced/Rarely Asked Questions. Each part covers a range of topics and concepts related to Python development.

Course Pointers

• The course covers a wide range of Python topics, including data types, control statements, functions, modules, file handling, exception handling, object-oriented programming, multiprocessing, and more.
• The instructor explains the differences between key concepts like lists and tuples, list comprehension and dictionary comprehension, generators and iterators, modules and packages, range and xrange, local and global variables, pickling and unpickling, and many others.
• The course also explores advanced topics such as inheritance, slicing in string manipulation, multiprocessing, multi threading, namespaces, recursion, unit tests, map-filter-reduce functions, shallow copy and deep copy, operator overloading, and more.
• Throughout the video, the instructor provides clear explanations and examples to help you understand and grasp the concepts effectively.
• The video is structured in a question-and-answer format, allowing you to follow along easily and find answers to specific interview questions you may encounter as a Python developer.

Importance of this session

This session is valuable for Python developers preparing for job interviews or seeking to enhance their knowledge and understanding of Python concepts. By watching this video, you will gain insights into commonly asked questions, understand key differences between related concepts, and explore advanced topics. The session aims to improve your interview performance by providing comprehensive answers and explanations that will help you demonstrate your expertise in Python development. Additionally, the course can serve as a valuable resource for self-study and review, allowing you to strengthen your Python skills and deepen your understanding of the language.

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