How can you create a generator in Python?
- Using a class with __iter__ and __next__ methods
- Using a for loop
- Using a while loop
- Using the yield keyword in a function
You can create a generator in Python by defining a function with the yield keyword. When the function is called, it returns an iterator that generates values one at a time when you iterate over it. This is a fundamental feature for working with large datasets efficiently.
How can you create a decorator that takes arguments?
- By modifying the Python interpreter.
- By using the @decorator syntax with argument values.
- Decorators in Python cannot take arguments.
- Using a function that takes the decorator arguments and returns the actual decorator function.
To create a decorator that takes arguments, you can define a function that accepts those arguments and returns a decorator function. This allows you to customize the behavior of the decorator based on the arguments provided.
How can you configure a Flask application to use an external configuration file?
- a. Define configuration settings directly in your Flask app's main Python file.
- b. Create a separate Python module with configuration settings and import it into your Flask app.
- c. Use environment variables for configuration.
- d. Flask doesn't support external configuration files.
You can configure a Flask application to use an external configuration file by creating a separate Python module with configuration settings and importing it into your Flask app. This allows for better separation of concerns and easier configuration management. Options a, c, and d are not recommended practices.
How can you change the order of method resolution in multiple inheritance?
- By changing the order of base classes in the class definition
- By using the @method_resolution decorator
- Using the C3 Linearization algorithm (C3 superclass linearization)
- Using the super() function
You can change the order of method resolution in multiple inheritance in Python by using the C3 Linearization algorithm (C3 superclass linearization). This algorithm calculates the order in which base classes are considered when looking up methods. The super() function is used to call methods in the method resolution order, but it doesn't change the order itself. Changing the order of base classes in the class definition directly affects method resolution but is discouraged. There is no standard @method_resolution decorator in Python.
How can you call a method of the parent class from within a method of a child class?
- By creating an instance of the parent class
- By directly calling the parent method
- Using the parent_method() syntax
- Using the super() function
You can call a method of the parent class from within a method of the child class using the super() function followed by the method you want to call. This allows you to access and execute the parent class's method.
How can you call a function named my_function defined in a module named my_module?
- call(my_module.my_function)
- my_function(my_module)
- my_module.call_my_function()
- my_module.my_function()
To call a function defined in a module, you use the module name followed by a dot and then the function name. In this case, it would be my_module.my_function().
How can you avoid hardcoding the URL in Django templates when using the anchor tag?
- Use JavaScript to dynamically set the URL
- Use the {% href 'url_name' %} template tag
- Use the {% url 'url_name' %} template tag
- Use the href attribute directly with the hardcoded URL
To avoid hardcoding URLs in Django templates, you can use the {% url 'url_name' %} template tag, which dynamically generates URLs based on the URL patterns defined in your Django project. This promotes maintainability and helps prevent broken links when URLs change.
How can you annotate a specific point on a plot in Matplotlib?
- Add a comment with # symbol
- Click directly on the point
- Place a text box with plt.text()
- Use annotate() function
To annotate a specific point on a plot in Matplotlib, you can use the plt.text() function. This function allows you to add custom text at specified coordinates on the plot, making it useful for labeling data points or adding additional information.
How can you achieve multiple inheritance in Python?
- By using interfaces.
- By using mixins and multiple inheritance.
- By using the extends keyword.
- Python does not support multiple inheritance.
In Python, you can achieve multiple inheritance by using mixins. Mixins are classes that provide specific behaviors and can be combined in a class to inherit those behaviors. Python supports multiple inheritance through this mechanism.
How can you achieve inheritance in Python?
- By creating a subclass that inherits from a superclass
- By defining a superclass variable
- By importing a superclass module
- Using the extends keyword
In Python, you achieve inheritance by creating a subclass that inherits from a superclass using the syntax class Subclass(Superclass):. The extends keyword is not used for inheritance in Python.
How can you access the sqrt function from the math module?
- math.sqrt(x)
- math::sqrt(x)
- math->sqrt(x)
- sqrt(x)
To access the sqrt function from the math module, you should use the dot notation like math.sqrt(x). This allows you to access functions or properties within a module in JavaScript.
A decorator in Python is a design pattern used to add new functionality to an object without altering its ____.
- attributes
- class
- methods
- structure
In Python, decorators are typically used to add new functionality to methods of a class without changing the method's name or signature. This is commonly used for tasks like logging, authorization, and caching.