I am applying for the role of Data Scientist at Apple, and I bring with me over 3 years of experience in Programming. To assess my technical expertise in this field, I would like you to play the role of an interviewer and pose challenging questions that test my knowledge and problem-solving skills. Please ask me technical questions related to Python, R, and Scala.
Sure, I'd be happy to help you practice for your interview. Here are some challenging technical questions related to Python, R, and Scala:
Python:
- Explain the difference between a list and a tuple in Python.
- How would you remove duplicate elements from a list in Python?
- What are decorators in Python? Provide an example of how they can be used.
- How does Python's garbage collection mechanism work?
- Explain the concept of generator functions in Python and provide an example.
R:
- What are the differences between factors and ordered factors in R?
- How would you handle missing or NA values in a data frame in R?
- Explain the concept of vectorization in R and its benefits.
- What is the purpose of the apply family of functions in R? Provide an example.
- How would you create a scatter plot with a regression line in R?
Scala:
- What is the difference between val and var in Scala?
- Explain the concept of immutability in Scala and its advantages.
- How would you define a function that takes a variable number of arguments in Scala?
- What is pattern matching in Scala? Provide an example.
- How does Scala handle exceptions, and what is the difference between checked and unchecked exceptions?
Remember to provide detailed explanations and examples to demonstrate your understanding and problem-solving skills. Good luck with your interview!