What Python coding interview questions are important for experienced candidates?

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Here are some important Python coding interview questions that experienced candidates should prepare for, along with a recommended course to strengthen your Python fundamentals:

1. Implement a Singleton Class

Question: Write a Python class that ensures only one instance of the class can be created.

2. Decorators

Question: Explain and implement a decorator that logs the execution time of a function.

3. Generators and Iterators

Question: Write a generator function that produces Fibonacci numbers.

4. Multithreading vs. Multiprocessing

Question: Explain the difference between multithreading and multiprocessing in Python and provide code examples for both.

5. Custom Data Structures

Question: Implement a custom data structure, such as a linked list or a binary search tree, with operations like insertion and deletion.

6. Exception Handling and Custom Exceptions

Question: How do you implement custom exceptions in Python? Provide an example.

7. RESTful API with Flask

Question: Describe how to build a RESTful API using Flask and provide a simple example.

8. List Comprehensions and Generator Expressions

Question: Demonstrate the use of list comprehensions and generator expressions for filtering and transforming data.

9. Memory Management

Question: Explain how Python handles memory management and garbage collection.

10. Database Interaction

Question: Write a Python function that connects to a SQL database, executes a query, and returns the results.

To strengthen your Python skills and prepare effectively for coding interviews, consider taking the Grokking Python Fundamentals course offered by DesignGurus.io. This course covers essential concepts and best practices in Python programming, helping you build a solid foundation for tackling advanced topics and interview questions.

By preparing for these questions and utilizing the suggested course, you can enhance your coding proficiency and confidence for technical interviews. For further resources, you might also explore platforms like LeetCode or HackerRank, which offer a wide range of coding challenges in Python.

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