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 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.
What considerations would you take into account when deploying a Scikit-learn model in a production environment?
- A. Model Serialization
- B. Batch Size
- C. Loss Function
- D. Activation Function
Option A, Model Serialization, is crucial for deploying a Scikit-learn model in production. It involves saving the trained model to disk for later use. Option B, Batch Size, is more relevant in deep learning contexts, not Scikit-learn. Options C and D, Loss Function and Activation Function, are more related to model training rather than deployment in Scikit-learn.
What is the command to continue execution until the next breakpoint is encountered when using the Pdb debugger?
- continue
- jump
- next
- step
The continue command is used to resume execution until the next breakpoint is encountered in the Pdb debugger. It allows you to skip over code sections you're not interested in debugging.
What is the main purpose of using decorators in Python?
- Adding metadata to functions and classes
- Controlling program flow
- Creating new functions
- Defining variables
Decorators in Python are primarily used to add metadata or behavior to functions and classes without modifying their source code directly. They are often used for tasks like logging, authentication, and access control.
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.
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.