In the context of data visualization, ____ is a Python library that is based on Matplotlib and provides a high-level interface for drawing attractive and informative statistical graphics.
- NumPy
- Scikit-learn
- Seaborn
- TensorFlow
In the context of data visualization in Python, Seaborn is a library based on Matplotlib that simplifies the creation of statistical graphics, making them more attractive and informative.
In the pytest framework, how do you mark a test function so that it is not executed by the test runner?
- @pytest.disable()
- @pytest.exclude()
- @pytest.ignore()
- @pytest.skip("Test not ready yet")
In pytest, you can use the @pytest.skip("Reason") decorator to mark a test function so that it is not executed. You can provide a reason for skipping for documentation purposes.
In the unittest framework, what is the significance of the setUpClass method in a test case class?
- It is called after all test methods in the test case class have run.
- It is called after the tearDown method in the test case class.
- It is called before any test methods in the test case class are run.
- It is called before each test method in the test case class.
In the unittest framework, the setUpClass method is called once before any test methods in the test case class are run. It's typically used to set up resources or configurations that are shared by all test methods in the class.
In web development, ____ is a technique used to update a web page without reloading it, which can be implemented using JavaScript and integrated with Python back-end.
- AJAX
- CSS
- HTML5
- JSON
In web development, AJAX (Asynchronous JavaScript and XML) is a technique used to update web content without the need to reload the entire page. It enables seamless interaction between the client and server, often implemented using JavaScript and integrated with Python back-end using APIs.
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.