README.md

📦 09_Modules_and_Packages

Welcome to the Modules and Packages section!
In Python, modules help you organize your code into reusable files, while packages allow you to group related modules together.
This section introduces Python’s most commonly used built-in modules that make development faster and more efficient.

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📘 Overview

You’ll learn:

• What modules and packages are, and how to use them.
• How to import built-in and custom modules.
• Practical applications of modules like datetime, math, random, and re.
• How modular programming makes code reusable and easier to maintain.

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🗂️ Folder Structure

├── 09_Modules_and_Packages/
│   ├── 01_built_in_modules.py
│   ├── 02_date_time_module.py
│   ├── 03_math_module.py
│   ├── 04_random_num.py
│   ├── 05_regex_module.py
│   └── README.md

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🧩 Files Description

File Name	Description
01_built_in_modules.py	Introduces Python’s built-in modules and shows how to import and use them (import, from ... import ...).
02_date_time_module.py	Demonstrates working with dates and times using the datetime module — including current time, formatting, and differences.
03_math_module.py	Covers mathematical operations and constants using the math module (sqrt, pow, pi, etc.).
04_random_num.py	Explains how to generate random numbers, choices, and shuffles using the random module.
05_regex_module.py	Introduces the re (Regular Expression) module for pattern matching and text searching.

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🧠 Example Code

# Example: Using Built-in Modules

# Math module
import math
radius = 5
area = math.pi * math.pow(radius, 2)
print("Area of circle:", area)

# Datetime module
from datetime import datetime
current_time = datetime.now()
print("Current time:", current_time.strftime("%Y-%m-%d %H:%M:%S"))

# Random module
import random
print("Random number between 1 and 10:", random.randint(1, 10))

# Regex module
import re
text = "My email is [email protected]"
match = re.search(r"\S+@\S+", text)
if match:
    print("Email found:", match.group())

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🎯 Learning Goals

By the end of this section, you’ll be able to:

• Understand how Python’s module system works.
• Use built-in modules to perform real-world tasks efficiently.
• Apply modular programming to write clean, reusable code.
• Use regular expressions to search and process text data.

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Next Section → 10_Object_Oriented_Programming

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