Answer:- Decorators are very powerful and a useful tool in Python that allows the programmers to add functionality to an existing code. This is also called metaprogramming because a part of the program tries to modify another part of the program at compile time. It allows the user to wrap another function to extend the behaviour of the wrapped function, without permanently modifying it.

Answer:- Decorators are very powerful and a useful tool in Python that allows the programmers to add functionality to an existing code. This is also called metaprogramming because a part of the program tries to modify another part of the program at compile time. It allows the user to wrap another function to extend the behaviour of the wrapped function, without permanently modifying it.

Answer:- Decorators are very powerful and a useful tool in Python that allows the programmers to add functionality to an existing code. This is also called metaprogramming because a part of the program tries to modify another part of the program at compile time. It allows the user to wrap another function to extend the behaviour of the wrapped function, without permanently modifying it.

Answer:- A function is a block of code that performs a specific task whereas a decorator is a function that modifies other functions.

Answer:- Global Variables: - Variables declared outside a function or in global space are called global variables. - If a variable is ever assigned a new value inside the function, the variable is implicitly local, and we need to declare it as global explicitly. To make a variable globally, we need to declare it by using global keyword. - Global variables are accessible anywhere in the program, and any function can access and modify its value.

Answer:- In Python, iterators are used to iterate a group of elements, containers like a list. Iterators are the collection of items, and it can be a list, tuple, or a dictionary. Python iterator implements __itr__ and next() method to iterate the stored elements. In Python, we generally use loops to iterate over the collections (list, tuple). In simple words: Iterators are objects which can be traversed though or iterated up

Answer:- In Python, the generator is a way that specifies how to implement iterators. It is a normal function except that it yields expression in the function. It does not implements __itr__ and next() method and reduce other overheads as well. If a function contains at least a yield statement, it becomes a generator. The yield keyword pauses the current execution by saving its states and then resume from the same when required.

Answer:- Slicing is a mechanism used to select a range of items from sequence type like list, tuple, and string. It is beneficial and easy to get elements from a range by using slice way. It requires a : (colon) which separates the start and end index of the field. All the data collection types List or tuple allows us to use slicing to fetch elements. Although we can get elements by specifying an index, we get only single element whereas using slicing we can get a group of elements.

Answer:- The Python dictionary is a built-in data type. It defines a one-to-one relationship between keys and values. Dictionaries contain a pair of keys and their corresponding values. It stores elements in key and value pairs. The keys are unique whereas values can be duplicate. The key accesses the dictionary elements.

Answer:- The Python docstring is a string literal that occurs as the first statement in a module, function, class, or method definition. It provides a convenient way to associate the documentation. String literals occurring immediately after a simple assignment at the top are called "attribute docstrings". String literals occurring immediately after another docstring are called "additional docstrings". Python uses triple quotes to create docstrings even though the string fits on one line. Docstring phrase ends with a period (.) and can be multiple lines. It may consist of spaces and other special chars.

Answer:- The sequences in Python are indexed and it consists of the positive as well as negative numbers. The numbers that are positive uses 0 that is uses as first index and 1 as the second index and the process go on like that. The index for the negative number starts from -1 that represents the last index in the sequence and -2 as the penultimate index and the sequence carries forward like the positive number. The negative index is used to remove any new-line spaces from the string and allow the string to except the last character that is given as S[:-1]. The negative index is also used to show the index to represent the string in correct order.

Answer:- The Python pickle is defined as a module which accepts any Python object and converts it into a string representation. It dumps the Python object into a file using the dump function; this process is called Pickling. The process of retrieving the original Python objects from the stored string representation is called as Unpickling.

Answer:- Java and Python both are object-oriented programming languages. Lets compare both on some criteria given below: -Ease of use/ Java is Good / Python is Very Good -Coding Speed/ Java is Average/ Python is Excellent -Data types/ Java is Static type/ Python is Dynamic type -Data Science and Machine learning application/ Java is Average/ Python is Very Good

Answer:- Help() and dir() both functions are accessible from the Python interpreter and used for viewing a consolidated dump of built-in functions. Help() function: The help() function is used to display the documentation string and also facilitates us to see the help related to modules, keywords, and attributes. Dir() function: The dir() function is used to display the defined symbols.