Header files in python

Question

How do I create a header file in python ? I know the steps to do it in C++ but I don't know how to do it in python.

Answer 1

You can do something like this:

• create a new python file (e.g.: pseudo_header) here you can add function, variables etc.

  Example - in pseudo_header:

  name = "Bob"
  

• in your main.py do this:

  import pseudo_header
  print(pseudo_header.name) << "Bob"
  pseudo_header.name = "John"
  print(pseudo_header.name) << "John"
  

Answer 2

Python is not having header files like c++. Instead we import libraries here.

For example take below small piece of code.

import datetime

print datetime.datetime.now()

Output

2019-11-15 12:33:33.177000

Here we are importing library datetime. datetime.datetime.now() will give you the current date. You can also import only a specific object instead of whole module. Like below.

from datetime import datetime

print datetime.now()

Answer 3

There is no need to define anything before code in python as we did in c++.

You just know about the syntax of the python it will be enough for beginner programming.

But if you want to use some extra libraries then you will need some importing.

Example

print("Hello World")

output
>> Hello World

Similarly you can define variables, do some conditional programming or define some loops etc.

Example

a = 5
if a != 5:
   print("I am angry")
if a == 5:
   print("I am happy")

output
>> I am happy

See there is no need to do any importing.

But if you want to use some libraries like. DateTime

import datetime

print datetime.datetime.now()

This library deals with date and time and anythings belongs to them.

That is python :)

Answer 4

What I usually do is create a separate library file with all function definitions and import this in the main script.

Let's say my library is called foo.py, which contains

import numpy as np

def side(area):
    '''
    Function to get length of the side of a square of a given area.
    '''
    assert (area > 0), 'Invalid input!'
    return np.sqrt(area)

Then, in my main script, I just import the library and use the functions.

import numpy as np
from foo import *

area = 100
print (side(area)) # returns 10

May not be the best way but works for me.