Two example Python Modules to use in your project

In Python writing script is a main task across all the data analytics project. This post tells you how to create sample macros and importing into your python interpreter and process or steps to execute it.

A module is created as a script file, which contains function definitions that can be called in two ways:

From the interpreter
From another script file or from another function

How to import

What is process. You can just save the below script as fact.fy

In interpreter...
>>> import fact
>>>fact.factorial(5)
120

# This program illustrates the designing/creation of a module

def factorial(n):
        "This module computes factorial"
        f=1;
        for i in range (1, n+1):
                  f=f*i;
        print(f)
        return

What is reloading the script

The Python interpreter imports a module only once in a session. If some modifications are performed in the module script then it must be reloaded (imported) again in the interpreter for further use.

A script is reusable component and you can add n number of functions inside of it.

Directory function

In order to see the list of function names defined in a module, Python is provided with a built-in function called dir(). It displays the list of all the function definition names as follows:
>>>dir()


['__builtins__', '__cached__', '__doc__', '__file__', 
'__loader__','__name__', '__package__','__spec__',
'fib']

Other way if we give 'module' name in dir(), you will get list of all functions inside of it.
>>>dir(mymodule)

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