updated files

46_Generators.py

@@ -1,4 +1,5 @@
-# A generator function is a special type of function that returns an iterator object. Instead of using return to send back a single value, generator functions use yield to produce a series of results over time.
+"""A generator function is a special type of function that returns an iterator object.
+Instead of using return to send back a single value, generator functions use yield to produce a series of results over time."""
 
 def fun(max):
     cnt = 1

47_Yield.py

@@ -1,11 +1,11 @@
-# yield Keyword -> In Python, yield keyword is used to create generators, which are special types of iterators that allow values to be produced lazily, one at a time, instead of returning them all at once.
+"""Yield keyword is used to create generators, which are special types of iterators that allow values to be produced lazily, one at a time, instead of returning them all at once."""
 
 # Syntax
 # def generator_function():
 #     yield value
 
 
-# Examples of yield
+"""Examples of yield"""
 # Example 1: Simple Generator to Yield Numbers Sequentially
 def fun(m):
     for i in range(m):

48_Import_Module.py

@@ -1,17 +1,18 @@
-# Import module in Python
-# In Python, modules help organize code into reusable files. They allow you to import and use functions, classes and variables from other scripts.
+"""Import module in Python
+In Python, modules help organize code into reusable files.
+They allow you to import and use functions, classes and variables from other scripts."""
 
 # Importing built-in Module
 import math
 pie = math.pi
 print("Value of pi:", pie)
 
 
+"""Importing External Modules
+To use external modules, we need to install them first, we can easily install any external module using pip command in the terminal."""
 
-# Importing External Modules
-# To use external modules, we need to install them first, we can easily install any external module using pip command in the terminal, for example:
-
-# pip install "module_name"
+# Example
+"""pip install pandas"""
 
 import pandas
 

49_Virtul_env.py

@@ -1,7 +1,8 @@
-# A virtual environment is an isolated Python environment that allows you to manage dependencies for each project separately. It prevents conflicts between projects and avoids affecting the system-wide Python installation.
+""" A virtual environment is an isolated Python environment that allows you to manage dependencies for each project separately.
+It prevents conflicts between projects and avoids affecting the system-wide Python installation."""
 
-# How to Create a Virtual Environment in Python
-# We use the virtualenv module to create isolated environments. It creates a folder with all necessary executables for the project.
+"""How to Create a Virtual Environment in Python
+We use the virtualenv module to create isolated environments. It creates a folder with all necessary executables for the project."""
 
 # Step 1: Installing virtualenv
 """$ pip install virtualenv"""