In the context of Python's GIL (Global Interpreter Lock), which kind of multi-threading is essentially made single-threaded?
- CPU-bound Multi-threading
- I/O-bound Multi-threading
- Multi-process
- Parallel Multi-threading
Python's GIL makes CPU-bound multi-threading essentially single-threaded. GIL ensures that only one thread is executing Python code at a time, which limits the effectiveness of multi-threading for CPU-bound tasks.
The _______ file is required to recognize a directory as a Python package.
- init.py
- main.py
- packageinfo.py
- setup.py
The 'init.py' file is required to recognize a directory as a Python package. It can be an empty file or contain initialization code for the package.
How is a protected member in Python different from a private member?
- Private can be accessed outside the class with a warning.
- Protected can be accessed only within the class.
- Protected can be accessed outside the class with a warning.
- They are the same.
In Python, a protected member is different from a private member in that it can be accessed outside the class, but it's considered a convention not to do so. It can be accessed with a warning, unlike private members, which are intended to be accessed only within the class itself.
In which scenario would you typically use the @staticmethod decorator in a class?
- When you need a method to be associated with a class rather than an instance.
- When you want to create a method that can access and modify instance-specific data.
- When you want to create a method that can only be called from within the class.
- When you want to create a method that is automatically called when an instance is created.
The @staticmethod decorator is used when you want to define a method that is associated with the class itself, rather than any specific instance. It can be called on the class without requiring an instance of the class.
In the context of nested loops, how does the break statement operate?
- It exits all loops
- It exits the innermost loop
- It only exits the outermost loop
- It terminates the entire program
The 'break' statement, in the context of nested loops, exits only the innermost loop where it is encountered, allowing outer loops to continue.
Python functions can have default argument values, defined using the _______ syntax in the function header.
- default
- initial
- optional
- default_value
Python functions can have default argument values, defined using the optional syntax in the function header. These default values are used when the function is called without providing values for these arguments.
What is the primary difference between a tuple and a list in Python?
- Tuples are mutable, and lists are immutable.
- Lists are ordered, and tuples are unordered.
- Tuples are immutable, and lists are mutable.
- Lists can store elements of different data types, while tuples cannot.
The correct option is 3. Tuples in Python are immutable, meaning their elements cannot be changed after creation, whereas lists are mutable and can be modified.
When installing Python packages globally, the tool most commonly used is _______.
- PIP
- PyInstaller
- PyManager
- setuptools
When installing Python packages globally, the most commonly used tool is 'pip.' It simplifies package management and installation tasks.
During code review, you notice that a colleague has used a generic except block without specifying any exception. What potential issues might this lead to?
- Better handling of unexpected exceptions that may not be known at the time of coding.
- Improved code readability and maintainability as it catches all exceptions.
- Increased code efficiency and performance since exceptions are handled generically.
- Precise identification of exceptions becomes difficult, making debugging and error resolution challenging.
Using a generic except block without specifying exceptions can lead to difficulties in debugging and error resolution. It makes it unclear which exceptions are being caught and may mask unexpected issues, making it challenging to maintain and troubleshoot the code.
You are creating a custom Matrix class and want to use the standard multiplication symbol (*) to perform matrix multiplication. What should you implement to support this behavior?
- Create a new class, MatrixMultiplier, to handle matrix multiplication.
- Implement a custom function, multiply_matrices(), for matrix multiplication.
- Overload the * operator in the Matrix class to define matrix multiplication.
- Overload the + operator for the Matrix class to perform matrix addition.
To perform matrix multiplication using the * operator, you should overload the * operator in the Matrix class to define the matrix multiplication operation. This is a common use case for operator overloading.