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.
In terms of function execution, what is the difference between yield and return?
- 'return' immediately terminates the function, returning a value to the caller.
- 'return' suspends the function's state, allowing it to resume execution later.
- 'yield' immediately terminates the function, returning a value to the caller.
- 'yield' suspends the function's state, allowing it to resume execution later.
'yield' and 'return' serve different purposes in Python. 'yield' is used in generators to pause execution and later resume it, whereas 'return' terminates the function.
You need to use a data structure as keys for a dictionary, and it must hold multiple items. Which one would you choose between lists and tuples?
- Both lists and tuples
- List
- Neither lists nor tuples
- Tuple
Tuples are the preferred choice as keys for dictionaries because they are immutable. Lists, on the other hand, are mutable and cannot be used as dictionary keys. Immutability ensures that the keys remain consistent, preventing unexpected behavior in the dictionary.
To write a list of dictionaries to a CSV file, one can use the DictWriter class from the _______ module.
- csv
- data
- excel
- pandas
To write a list of dictionaries to a CSV file in Python, you can use the csv module. Specifically, the DictWriter class from the csv module allows you to write dictionaries as rows in a CSV file, where the keys of the dictionaries are used as column headers. This is a common technique when working with tabular data in Python.
For method overriding to occur, the method in the derived class must have the same _______ and return type as the method in the base class.
- Method name and arguments
- Method name and parameters
- Method signature and name
- Method signature and parameters
Method overriding in Python requires that the method in the derived class has the same method name and arguments (parameters) as the method in the base class.
In type hinting, if a function is expected not to return any value, the return type should be hinted as _______.
- Empty
- None
- Void
- nan
In type hinting, if a function is expected not to return any value, the return type should be hinted as 'None'. 'None' signifies the absence of a return value.
For loops in Python utilize the ______ method internally to iterate over items.
- enumerate
- iterate
- loop
- range
For loops in Python utilize the enumerate method internally to iterate over items. enumerate returns both the index and the value of each item in the sequence, making it useful for tracking positions in the loop.
How does Python internally represent a float value?
- ASCII Encoding
- IEEE 754
- Two's Complement
- Unicode Encoding
Python internally represents a float value using the IEEE 754 standard for floating-point arithmetic.
The lifetime of a variable is determined by its _______ in the code.
- assignment
- data type
- declaration
- scope
The lifetime of a variable in Python is determined by its scope in the code. Variables can have different scopes, such as local, enclosing, global, or built-in, which affect their lifespan.