How would you split a dataset into training and testing sets using Scikit-learn?
- dataset_split(data, 0.2)
- split_data(data, train=0.8, test=0.2)
- train_and_test(data, test_ratio=0.2)
- train_test_split(data, test_size=0.2)
You would use the train_test_split function from Scikit-learn to split a dataset into training and testing sets. It's a common practice in machine learning to use an 80-20 or 70-30 train-test split to evaluate model performance. The other options are not valid functions in Scikit-learn.
How would you test a function that does not return a value, but prints something out, using unittest?
- Manually check the printed output during testing.
- Redirect the printed output to a file and compare the file contents in the test case.
- This cannot be tested with unittest as it's impossible to capture printed output.
- Use the unittest.mock library to capture the printed output and compare it to the expected output.
To test a function that prints something without returning a value, you can use the unittest.mock library to capture the printed output and then compare it to the expected output in your test case. This allows you to assert that the function is producing the expected output.
How would you use a metaclass to automatically register all subclasses of a base class in Python?
- Define a register_subclasses function within the base class.
- Subclasses cannot be automatically registered using metaclasses.
- Use the @register_subclass decorator in conjunction with a metaclass.
- You can use the __init_subclass__ method in a metaclass to automatically register subclasses.
The __init_subclass__ method in a metaclass allows you to automatically register subclasses when they are defined, enabling a way to track and manage them.
How would you optimize the space complexity of a dynamic programming algorithm?
- Increase the input size to reduce space complexity
- Optimize time complexity instead
- Use a brute-force approach
- Use memoization to store intermediate results
To optimize space complexity in dynamic programming, you can use memoization (caching) to store intermediate results, avoiding redundant calculations and reducing memory usage.
How would you organize a group of related functions into a module?
- By declaring them in the global scope.
- By defining them inside an object literal.
- By placing them in a separate JavaScript file and exporting them using the export keyword.
- By using classes and inheritance.
To organize a group of related functions into a module, you should place them in a separate JavaScript file and export them using the export keyword. This helps maintain code modularity and reusability.
How would you override a method defined in a superclass in Python?
- By creating a new method with the same name in the subclass
- By importing the superclass method
- By renaming the superclass method
- By using the @override decorator
In Python, to override a method defined in a superclass, you create a new method with the same name in the subclass. This new method in the subclass will replace (override) the behavior of the superclass method.
How would you implement a dequeue (double-ended queue) data structure?
- Array
- Linked List
- Queue
- Stack
A dequeue can be efficiently implemented using a doubly linked list, where you can add or remove elements from both ends in constant time. While arrays are also used, they may not provide the same level of efficiency for both ends' operations.
How would you implement a stack in Python?
- Using a dictionary
- Using a list
- Using a set
- Using a tuple
In Python, you can implement a stack using a list. Lists provide built-in methods like append() and pop() that make it easy to simulate a stack's behavior.
How would you implement rate limiting in a RESTful API to prevent abuse?
- A. Use JWT tokens
- B. Implement a token bucket algorithm
- C. Limit requests based on IP addresses
- D. Disable API access during peak hours
B. Implementing a token bucket algorithm is a common method for rate limiting in RESTful APIs. It allows you to control the rate of requests over time, preventing abuse while allowing legitimate usage. Options A, C, and D are not effective methods for rate limiting.
How would you initialize an empty list in Python?
- empty_list = []
- empty_list = [None]
- empty_list = {}
- empty_list = None
To initialize an empty list in Python, you use square brackets []. Option 2 initializes an empty dictionary, option 3 initializes a variable as None, and option 4 initializes a list with a single element, which is None.