Which library would you primarily use for implementing linear regression in Python?
- Matplotlib
- NumPy
- Pandas
- Scikit-learn
Scikit-learn is a powerful library in Python for machine learning, including linear regression. While NumPy, Pandas, and Matplotlib are essential for data manipulation and visualization, Scikit-learn provides tools for regression tasks, making it the primary choice for linear regression.
Which command is used in PDB (Python Debugger) to continue execution until the next breakpoint is encountered?
- c
- continue
- go
- next
In the Python Debugger (PDB), you can use the continue command to resume execution of your code until the next breakpoint is encountered. This allows you to step through your code and examine its behavior.
Which data structure follows the Last In First Out (LIFO) principle?
- Array
- Linked List
- Queue
- Stack
A stack is a data structure that follows the Last In First Out (LIFO) principle. It means that the last element added to the stack will be the first one to be removed. Stacks are commonly used in programming for tasks like tracking function calls and managing memory.
Which data structure in Python would you use to store a collection of unique elements?
- Dictionary
- List
- Set
- Tuple
You would use a Set in Python to store a collection of unique elements. Sets do not allow duplicate values, and they are commonly used to work with unique items. Lists (option 1) and Tuples (option 2) allow duplicate elements, and Dictionaries (option 4) store key-value pairs.
Which data structure would be the most appropriate to implement a priority queue?
- Array
- Binary Heap
- Hash Table
- Linked List
A binary heap is the most appropriate data structure to implement a priority queue because it allows efficient insertion and extraction of elements with logarithmic time complexity.
When using TensorFlow or PyTorch, the ____ method is used to load a pre-trained model.
- create_model
- import_model
- initialize_model
- load_model
When working with deep learning frameworks like TensorFlow or PyTorch, you typically use the load_model method to load a pre-trained model from a file. This allows you to reuse a model that has been previously trained on a large dataset.
When using the unittest framework, which method is executed before each test method is run?
- beforeTest()
- init()
- setUp()
- setUpClass()
In the unittest framework, the setUp() method is executed before each test method is run. This method is used to set up any preconditions or resources needed for the test.
Which algorithm would you use to find the shortest path in an unweighted graph?
- Bellman-Ford algorithm
- Breadth-First Search (BFS)
- Depth-First Search (DFS)
- Dijkstra's algorithm
In an unweighted graph, the shortest path can be found using Breadth-First Search (BFS). BFS explores the graph level by level, ensuring that the first time you reach a node is by the shortest path.
Which algorithmic paradigm divides the problem into subproblems and solves each one independently?
- Backtracking
- Divide and Conquer
- Dynamic Programming
- Greedy
The divide and conquer paradigm breaks down a problem into smaller subproblems, solves each subproblem independently, and then combines their solutions to form the solution to the original problem. It's commonly used in algorithms like merge sort and quicksort.
When creating a test case in the unittest framework, which method is used to contain the individual tests that the test runner will execute?
- runTest
- setUp
- tearDown
- testMethod
In the unittest framework, individual test methods should start with the word "test" (e.g., test_something). These methods contain the actual test logic that the test runner executes.