What is the primary purpose of a debugger in Python development?
- To format code for readability
- To identify and fix code errors
- To measure code performance
- To write unit tests
The primary purpose of a debugger in Python development is to identify and fix code errors (bugs). Debuggers allow developers to step through code, inspect variables, and understand the flow of their programs to pinpoint and resolve issues. While unit tests are important, debugging is a distinct process.
What considerations should be made when optimizing Python code that is intended to be run in a multi-threaded environment?
- a) Ensure global variables are used extensively for sharing data.
- b) Avoid using the Global Interpreter Lock (GIL) in Python.
- c) Use multi-threading for I/O-bound tasks and multi-processing for CPU-bound tasks.
- d) Use the same thread for all tasks to minimize context switching.
When optimizing Python code for multi-threading, it's important to understand the Global Interpreter Lock (GIL) (b) and how it can impact performance. Using global variables (a) for sharing data in multi-threaded code can lead to synchronization issues and should generally be avoided. The choice between multi-threading and multi-processing (c) depends on the nature of the tasks. Using the same thread for all tasks (d) would not take advantage of multi-threading.
Which year was Python first introduced?
- 1989
- 1991
- 1995
- 2000
Python was first introduced in 1991 by Guido van Rossum. It has since evolved into a powerful and versatile programming language.
The _____ method in a metaclass is executed when a new class is created.
- class
- init
- metaclass
- new
In Python, the __new__ method in a metaclass is executed when a new class is created. It allows you to customize the creation process of classes before __init__ is called.
The _____ method in Python is used to delete the object and perform the cleanup activities.
- del
- delete
- destruct
- finalize
In Python, the finalize method is used to perform cleanup activities and delete an object. This method is called automatically by the garbage collector before reclaiming the memory used by the object.
The algorithm that follows the 'divide and conquer' strategy is ____.
- Binary Search
- Bubble Sort
- Merge Sort
- Quick Sort
The algorithm that follows the 'divide and conquer' strategy is Quick Sort. In Quick Sort, the array is divided into smaller subarrays, sorted separately, and then combined.
The process of visiting all the nodes of a tree and performing an operation (such as a print operation) is called ____.
- Pruning
- Rotating
- Sorting
- Traversal
The process of visiting all the nodes of a tree and performing an operation is known as tree traversal. Tree traversal is essential for various tree-based algorithms and operations like printing the contents of a tree.
To concatenate two tuples, you can use the ____ operator.
- -
- &
- *
- +
In Python, you can concatenate two tuples using the + operator. The + operator is used for concatenating sequences, including tuples. For example, tuple1 + tuple2 will combine the elements of both tuples.
To convert a list into a set in Python, you can pass the list to the ____ constructor.
- dict()
- list()
- set()
- tuple()
To convert a list into a set in Python, you can use the set() constructor. It takes an iterable, such as a list, as an argument and creates a new set containing the unique elements from the list.
To create a new URL pattern in a Django app, you have to add it to the ____ file.
- models.py
- settings.py
- urls.py
- views.py
In Django, you create new URL patterns by adding them to the urls.py file of your app. This file maps URLs to view functions, allowing you to define the routing of your web application.