Question

★ Question :

$\leadsto$ What are Functions in Python. Also tell it's advantages.​

Answer 1

Answer:

There are three types of functions in Python:

Built-in functions, such as help() to ask for help, min() to get the minimum value, print() to print an object to the terminal,… ...

User-Defined Functions (UDFs), which are functions that users create to help them out; And.

Explanation:

advantages

Interpreted Language. ...

Dynamically Typed. ...

Free and Open-Source. ...

Vast Libraries Support. ...

Portability.

Answer 2

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Functions are the most important aspect of an application. A function can be defined as the organized block of reusable code, which can be called whenever required.

Python allows us to divide a large program into the basic building blocks known as a function. The function contains the set of programming statements enclosed by {}. A function can be called multiple times to provide reusability and modularity to the Python program.

The Function helps to programmer to break the program into the smaller part. It organizes the code very effectively and avoids the repetition of the code. As the program grows, function makes the program more organized.

Python provide us various inbuilt functions like range() or print(). Although, the user can create its functions, which can be called user-defined functions.

There are mainly two types of functions.

• User-define functions - The user-defined functions are those define by the user to perform the specific task.
• Built-in functions - The built-in functions are those functions that are pre-defined in Python.

In this tutorial, we will discuss the user define functions.

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There are the following advantages of Python functions.

• Using functions, we can avoid rewriting the same logic/code again and again in a program.
• We can call Python functions multiple times in a program and anywhere in a program.
• We can track a large Python program easily when it is divided into multiple functions.
• Reusability is the main achievement of Python functions.
• However, Function calling is always overhead in a Python program.

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