What would be the time complexity of inserting an element in a balanced Binary Search Tree?
- O(1)
- O(log n)
- O(n log n)
- O(n)
In a balanced Binary Search Tree (BST), inserting an element takes O(log n) time on average. This is because the tree's balanced structure ensures that you traverse down the tree logarithmically with respect to the number of nodes.
What is the result of the following operation in Python? ('apple',) * 3
- ('apple', 3)
- ('apple', 'apple', 'apple')
- ('apple',)
- Error
The result of ('apple',) * 3 is a tuple containing three copies of the string 'apple'. The comma in ('apple',) is necessary to create a single-element tuple.
What is the time complexity of a linear search algorithm in the worst case?
- O(1)
- O(log n)
- O(n)
- O(n^2)
In the worst case, a linear search algorithm has a time complexity of O(n). This means that in the worst-case scenario, where the element being searched for is at the end of the list or array, the algorithm may need to examine every element in the list before finding the target.
What is the time complexity of accessing an element in a Python list by index?
- O(1)
- O(log n)
- O(n log n)
- O(n)
Accessing an element in a Python list by index has a time complexity of O(1). Lists are implemented as arrays, and accessing an element by index can be done in constant time because the index directly maps to a memory location.
What is the time complexity of checking the membership of an element in a set in Python?
- O(1)
- O(log n)
- O(n)
- O(n^2)
Checking membership in a set in Python is an O(1) operation on average because sets use a hash table internally, which provides constant-time access to elements.
What is the primary purpose of code profiling in Python development?
- Creating user interfaces
- Debugging syntax errors
- Identifying bottlenecks and performance issues
- Writing documentation
Code profiling in Python helps in identifying bottlenecks and performance issues. Profiling tools provide insights into which parts of the code are consuming the most time, helping developers optimize those sections for better performance.
What is the primary purpose of Flask's route() decorator?
- To create a new route in the server
- To define a URL endpoint for a function
- To restrict access to a route
- To specify a route's HTTP methods
The primary purpose of Flask's route() decorator is to define a URL endpoint for a Python function. It associates a function with a specific URL path, allowing it to handle incoming HTTP requests to that path.
What is the primary purpose of the HTTP OPTIONS method in RESTful APIs?
- To delete a resource on the server
- To request data from the server
- To retrieve information about the communication options for the target resource
- To update resource data on the server
The primary purpose of the HTTP OPTIONS method in RESTful APIs is to retrieve information about the communication options available for the target resource. It is used to inquire about the HTTP methods and other communication options supported by a resource.
What is the primary purpose of using metaclasses in Python?
- To create instances of classes
- To define constants
- To encapsulate data
- To modify the behavior of classes
Metaclasses in Python are primarily used to modify the behavior of classes. They allow you to customize class creation, attribute handling, and more. This makes them a powerful tool for advanced customization in Python.
What is the primary use of a generator expression in Python?
- To create a dictionary.
- To create a list of values.
- To create a new generator object.
- To modify an existing generator.
The primary use of a generator expression in Python is to create an iterable generator object. Generator expressions are memory-efficient and generate values on-the-fly, making them useful for working with large datasets.