What is the primary use of the Pandas library in Python?
- Data manipulation and analysis
- Game development
- Machine learning
- Web development
The primary use of the Pandas library in Python is for data manipulation and analysis. It provides data structures like DataFrame and Series, making it easy to work with structured data.
What is the primary use of the __init__ method in a Python class?
- Defining class methods
- Handling exceptions
- Inheriting from a superclass
- Initializing class attributes
The __init__ method is a special method in Python classes used to initialize class attributes when an object of the class is created. It's like a constructor in other programming languages. It allows you to set the initial state of an object's attributes.
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.
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 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 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 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 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 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 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 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.
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.