Quiz questions on argument parsing, global and local variables, recursion, differences between shallow and deep copy. In Python, arguments are passed to functions by assignment. This means that when a function is called, the values of the arguments are assigned to the corresponding parameters in the function's definition. There are two types of arguments in Python: positional arguments and keyword arguments. Positional arguments are the arguments that are passed to a function in the order that they appear in the function's definition. Keyword arguments are the arguments that are passed to... Show more

Quiz questions on argument parsing, global and local variables, recursion, differences between shallow and deep copy.

In Python, arguments are passed to functions by assignment. This means that when a function is called, the values of the arguments are assigned to the corresponding parameters in the function's definition.
There are two types of arguments in Python: positional arguments and keyword arguments.
Positional arguments are the arguments that are passed to a function in the order that they appear in the function's definition.
Keyword arguments are the arguments that are passed to a function by name.
Keyword arguments can be used to pass arguments to a function in any order.

Global variables are variables that are defined outside of all functions and blocks. They are available to all parts of the program.
Local variables are variables that are defined inside of a function or block. They are only available to that function or block.

It is generally considered good practice to avoid using global variables. This is because global variables can make code more difficult to read and maintain. If you need to use a global variable, it is important to document it clearly so that other developers can understand how it is used.

Recursion is when a function calls itself. In this example, the factorial function calls itself with the argument n-1. This will cause the function to call itself again and again, until it reaches the base case, which is when n is equal to 0. At that point, the function will return 1, and the recursion will stop.

In Python, a shallow copy and a deep copy are two ways to create a new copy of an existing object. The main difference between the two is that a shallow copy only copies the top-level elements of an object, while a deep copy copies the entire object, including all of its nested elements.

Shallow copies are typically faster than deep copies, so they should be used when you only need to make a duplicate version of an object so that changes made to one don't affect the other. For example, you might use a shallow copy to create a temporary copy of an object that you're going to modify.
Deep copies should be used when you need to create an exact replica of an object. For example, you might use a deep copy to create a backup of an object or to pass an object to a function that might modify it.

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