Modules:
- Every python file is a module.Files which we save with the extension(.py) all are modules.
- Modules can be reused using import function-It helps to import one module to another module.
Special variables:
Denoted by "__"-Double underscore(in python it is called as dunder) in front and backside of a variable.
Example:1
Input:
print("Hello")
print(__name__)
print(__file__)
Output:
Hello
__main__
/home/guru/Desktop/Guru/Bank.py
In the above example,
---> name is used to find whether we are working in same module or from different module.If we are working in same module then main will be the output which means in same working module we are printing.Incase if we are printing it in another module by importing then the output will be that module name.
--->file is used for locating the module.
Example:2
To prove module is reusable:
Case:1 Both the python modules are in same folder
Input:
calculator.py-module1
def add(no1,no2):
print(no1+no2)
def subtract(no1,no2):
print(no1-no2)
def multiply(no1,no2):
print(no1*no2)
def divide(no1,no2):
print(no1/no2)
user.py-module2
import calculator
calculator.add(10,3)
calculator.multiply(10,3)
So we have imported from calculator.py to user.py and calling a function in module 2.
Output will be
13
30
Case:2 Python modules in different folders
If both modules are in different folders then the output will show modulenotfounderror.
Output:
ModuleNotFoundError: No module named 'calculator'
If we need specific functions alone from calculator.py means then no need to import whole module,instead we can use "from" to take specific function
from calculator import add, divide
add(10,3)
divide(10,2)
doc-->Documentation string
This variable is used to know about the particular module,like a description.
For every module ther will be a documentation which will be mentioned in ''' ''' or """ """.
'''It is about special variables'''
print(__doc__)
Output:
It is about special variables
help-To see all details about the particular module like functions,file location, including documentation string.
#In user.py module:
import calculator
print(help(calculator))
Note:vi (module name.py) -is used to open the file in terminal itself instead of opening text editor.And after saving if we reload in text editor changes will be reflecting in it.
Type of modules:
userdefined-Whatever module we create with extension .py is userdefined modules.
predefined modules-Modules which are inbuilt in python.
help('modules') using this we can view all predefined modules in python.
Otp generator: Using random module:
import random
otp = random.randint(100000,999999)
print(otp)
Output:
263861
696781
802686
Task 1:
- Create a python module called Bank.
- Add functions: deposit(amount), withdraw(amount)
- Create one more python module called Customer
- From customer module, call deposit and withdraw functions of Bank module.
Bank.py:module 1
def deposit(amount):
print("Total deposit amount is ",amount)
return(amount)
def withdraw(amount):
print("Total withdrawal amount is ",amount)
return(amount)
customer.py:module 2
import Bank
total_deposit=Bank.deposit(100000)
total_withdrawal=Bank.withdraw(20000)
print("Bank balance is ",(total_deposit-total_withdrawal))
Output will be
Total deposit amount is 100000
Total withdrawal amount is 20000
Bank balance is 80000
Task:2
Few important predefined modules:
1) Os module:It is used for interacting with our operating system.
import os
print("Contents:", os.listdir())
output:
Contents: ['user.py', 'Bank.py', '__pycache__', 'calculator.py', 'customer.py', 'hello.py', 'python classes']
2) math: Performs mathematical operations.
Ex:Calculate square root
import math
print("Square Root of 16:", math.sqrt(16))
Output:
Square Root of 16: 4.0
3) datetime: Manages dates and times.
from datetime import datetime
now = datetime.now()
print("Current Date and Time:", now)
Output:
Current Date and Time: 2024-11-22 10:54:46.494016
4) sys - System-Specific Parameters and Functions:Provides access to system-specific parameters.
import sys
print("Python Version:", sys.version)
output:Displays python version
Python Version: 3.12.3 (main, Nov 6 2024, 18:32:19) [GCC 13.2.0]
5) re - Regular Expressions: Allows for pattern matching in strings.
If any string repeats and need to find that alone we can use re module.
import re
text = "cow cat cow dog"
matches = re.findall(r"cow", text)
print("Matches:", matches)
Output:
Matches: ['cow', 'cow']
6) collections - Specialized Data Structures: Provides high-performance container datatypes.
from collections import Counter
data = ['a', 'b', 'a', 'c', 'b', 'a']
count = Counter(data)
print("Occurrences:", count)
Output: From the above input output will count the occurances of each data and displays.
Occurrences: Counter({'a': 3, 'b': 2, 'c': 1})
7) Django: Used to create web applications.
8) String: provides a collection of constants and functions that make it easier to work with strings.
Ex:#using one of the constants-string.ascii_lowercase
import string
print("Lowercase Letters:", string.ascii_lowercase)
output:
Lowercase Letters: abcdefghijklmnopqrstuvwxyz
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