You want to create a logging utility that can be used across various modules in your project without repeatedly initializing the logger. Which Python feature can help in achieving this?
- Python Decorators
- Python Logging Module
- Python Modules and Imports
- Python's Global Variables
In Python, you can create a logging utility by using decorators. You can wrap your functions with a custom decorator that initializes the logger and allows you to use it across modules without repetitive initialization.
You've imported a module using the import keyword but later realized that you want to reload it to reflect the changes. What would be the best approach?
- Use the reload() function from the importlib module to reload the module.
- Delete the module and import it again from scratch.
- Use the import statement again, and Python will automatically reload the module if it has changed.
- Use the update() method of the module object to update it with the latest changes.
The best approach is to use the reload() function from the importlib module to explicitly reload the module. This ensures that the latest changes in the module are reflected without needing to restart the entire Python interpreter.
What is the difference between import module and from module import * in terms of namespace pollution?
- Both have the same impact
- from module import * is risky
- from module import * is safer
- import module is safer
Using from module import * pollutes the current namespace by bringing all symbols from the module into the current scope. This can lead to name clashes and make the code less maintainable. Importing module directly doesn't introduce symbols to the current namespace.
Which operator is used for exponentiation in Python?
- &
- **
- //
- ^
The '**' symbol in Python is used for exponentiation. It raises the first operand to the power of the second operand. For example, 2 ** 3 returns 8 because it calculates 2 raised to the power of 3.
You are reviewing a piece of code where the developer imported the numpy library as np and the pandas library as pd. These are examples of what concept in Python?
- Alias Importing
- Function Importing
- Module Importing
- Package Importing
Importing libraries with aliases like 'np' and 'pd' is an example of alias importing in Python, which allows you to use shorter names for modules.
You have written a function that accepts any number of positional and keyword arguments and prints them. However, the function signature does not specify any parameter names. How was this achieved?
- Using Default Arguments
- Using Variable-Length Argument Lists with *args and **kwargs
- Using Variable-Length Argument Lists with var_args and kw_args
- Using the args and kwargs Keywords
This is achieved by using variable-length argument lists with *args and **kwargs in the function signature. *args allows you to pass any number of positional arguments, and **kwargs allows you to pass keyword arguments without specifying their names.
To check the version of Python installed, one can use the command python _______.
- --version
- -check
- -v
- -version
To check the Python version, you can use the command 'python --version' or 'python -V'. It displays the installed Python version information.
Using the super() function without any arguments inside a derived class method implicitly refers to the _______ class.
- Ancestor
- Base
- Derived
- Parent
Using super() without any arguments inside a derived class method refers to the base class. It's commonly used to access and invoke methods and properties of the base class.
Which Python object can be used to create a simple context manager without defining a class?
- @contextmanager decorator
- contextlib.ExitStack()
- contextlib.AbstractContextManager()
- contextlib.contextmanager()
The contextlib.contextmanager() decorator is used to create a simple context manager without defining a class. Other options are used for different purposes related to context management.
In Python, a multi-line string can be defined using _______ characters.
- Double quotes
- Single quotes
- Triple quotes
- Triple single-quotes
In Python, a multi-line string can be defined using triple single-quotes ('''...''') or triple double-quotes ("""...""").