Python Coding and Theoretical Questions for Interviews

Introduction

• The video covers important coding and theoretical questions in Python likely to be asked in interviews.
• 10 coding questions and 10 theoretical questions will be discussed.

Coding Questions

1. Generate an Infinite Fibonacci Series

   • Use the yield keyword to create a generator function that stops generating values when next() is not called.
   • Avoid creating a function that runs indefinitely.

2. Sort a List Without Using sort Keyword

   • Use a for loop to manually sort a list.

3. Check if a String is a Palindrome

   • This question is common for both freshers and those with experience.
   • Write code to determine if the string reads the same forwards and backwards.

4. Sort a Dictionary

   • Can be asked to sort a dictionary using dictionary comprehension.

5. Find a Pair with a Given Sum in a List

   • Given a target sum, identify two elements in a list that add up to the specified number.

6. Create a Fibonacci Series Using Recursion

   • Understand how to implement the Fibonacci series using recursive functions.

7. String Manipulation

   • Given string inputs, be prepared to manipulate them to achieve certain outputs using methods like split and slicing.

8. Find the Maximum Repeated Character in a String

   • Solve without having O(n²) complexity by using a dictionary.

9. Find Maximum and Minimum Values from a List

   • Implement finding max and min values without using built-in functions like max or min.

10. Raising Exceptions

    • Know how to raise exceptions when certain conditions are met in a list (e.g., if a value equals 1).

Theoretical Questions

1. Difference Between List, Tuple, and Array

   • Understand characteristics and use cases of each.
   • Key differences include mutability, syntax, and performance.

2. Lambda Function

   • Definition and usage of lambda functions in Python.
   • Provide an example to illustrate.

3. List Functions: append() vs extend()

   • Know how to use both functions and the types of elements they can add.

4. Exception Handling in Python

   • Understand try, except, else, and finally. Explain their usage.

5. Decorator in Python

   • Define what a decorator is, along with examples of customized and parameterized decorators.

6. Abstraction

   • Explain what abstraction means in programming and how to define abstract classes/functions.

7. Method Resolution Order (MRO)

   • Be able to explain MRO and its importance in Python.

8. Global Interpreter Lock (GIL)

   • Understand GIL and its implications in multi-threading.

9. Drawbacks of Not Using with Statement

   • Discuss the importance of the with statement for resource management.

10. Difference Between Static and Class Method

    • Clarify the distinctions between static methods and class methods in Python.

Conclusion

• These questions are commonly asked for both freshers and experienced candidates in Python interviews.
• It is recommended to study all these topics thoroughly to prepare effectively for interviews.