In Python, which keyword is used to define a metaclass within a class definition?
- classfor
- classmeta
- metaclass
- metaclassof
To define a metaclass within a class definition in Python, you use the keyword metaclass. This keyword specifies the metaclass for the class, allowing you to customize how the class is created and behaves.
In Python’s unittest framework, the ____ method is used to compare whether two values are equal.
- assertEqual()
- compare()
- equal()
- equalTo()
In Python's unittest framework, the assertEqual() method is used to compare whether two values are equal. It is an essential method for writing test cases to ensure expected and actual values match.
In RESTful API development, what does the acronym CRUD stand for?
- Call, Retrieve, Update, Destroy
- Connect, Read, Update, Disconnect
- Copy, Read, Update, Delete
- Create, Retrieve, Update, Delete
In RESTful API development, the acronym CRUD stands for Create, Retrieve, Update, Delete. These are the four basic operations that can be performed on resources in a RESTful API.
In Scikit-learn, ____ is the method used to train a model using the training data.
- fit
- train
- train_data
- train_model
In Scikit-learn, the fit method is used to train a machine learning model using the training data. This method takes the training data as input and adjusts the model's parameters to make predictions on new data.
In Scikit-learn, ____ is used to encode categorical variables into numerical format.
- Imputer
- LabelEncoder
- PrincipalComponentAnalysis
- RandomForest
In Scikit-learn, the LabelEncoder class is used to encode categorical variables into numerical format. It assigns a unique integer to each category, which can be useful when working with machine learning algorithms that require numerical input. This transformation is essential to handle categorical data effectively in many machine learning tasks.
In Scikit-learn, the ____ class is used for feature scaling.
- DecisionTree
- KMeans
- LinearRegression
- StandardScaler
In Scikit-learn, the StandardScaler class is used for feature scaling. Feature scaling is crucial in machine learning to ensure that all features have the same scale, preventing some features from dominating others during model training. StandardScaler standardizes features by removing the mean and scaling to unit variance.
In Scikit-learn, the ____ method is used to calculate the accuracy of the model on the test data.
- evaluate
- fit
- predict
- score
In Scikit-learn, the score method is used to calculate various metrics, including accuracy, to evaluate the performance of a machine learning model on test data. This method compares the model's predictions to the true labels and returns the accuracy score.
In Python, how do you define a method inside a class to access and modify the objects’ attributes?
- def method(self):
- function method():
- method = def():
- self.method = function():
In Python, to define a method inside a class that can access and modify object attributes, you use the def method(self): syntax. The self parameter allows you to access and manipulate the object's attributes within the method.
In Python, if you don’t specify a metaclass for a new class, it will implicitly use ____ as its metaclass.
- base
- metaclass
- object
- type
In Python, if you don't specify a metaclass for a new class, it will implicitly use type as its metaclass. type is the default metaclass for all classes unless otherwise specified.
In Python, strings are ____, meaning they cannot be changed after they are created.
- constant
- dynamic
- immutable
- mutable
In Python, strings are immutable, which means their content cannot be changed after they are created. If you want to modify a string, you create a new one. This immutability is a fundamental characteristic of Python strings.