You have a list data = [1, 3, 5, 7, 9]. You need to add the numbers 2, 4, 6, 8 to the list such that the list remains sorted. Which approach will be most efficient?
- data += [2, 4, 6, 8]
- data.extend([2, 4, 6, 8])
- data.insert(2, [2, 4, 6, 8])
- data.sort()
The most efficient approach is to use 'data += [2, 4, 6, 8]' as it directly appends the sorted numbers to the list, maintaining the sorted order.
You are writing a Python script on a new system and realize it doesn't have the required module. Which command would you use to install this module?
- install-module module-name
- pip install module-name
- py-install module-name
- python install module-name
You would use pip install module-name to install the required Python module. pip is the standard package installer for Python, and it allows you to easily download and install Python packages from the Python Package Index (PyPI).
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.
What's the primary difference between from module import * and import module as alias?
- Both statements are identical and can be used interchangeably.
- The former imports all names from the module, polluting the namespace.
- The former is faster in terms of execution.
- The latter allows selective access to module members using the alias.
'from module import *' imports all names from the module into the current namespace, potentially causing naming conflicts. 'import module as alias' imports the module with a specified alias, offering more controlled access to its members.
What mode should you open a file in to write to it without deleting its existing content?
- append mode
- create mode
- update mode
- write mode
To write to a file without deleting its existing content, you should open the file in 'write mode' ('w'). It creates a new file if it doesn't exist.
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.