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*Roadmap to learn HTML & CSS Roadmap in 1 month*

*Week 1: HTML Basics*

What is HTML and how the web works

Basic page structure: , , ,

Headings ( to ), Paragraphs, Links, Images

Lists (, , ), Tables

Forms: , , , buttons

Semantic HTML: , , , , ,

> Mini Project: Create a simple personal profile page using only HTML.

*Week 2: CSS Basics*

What is CSS? Inline vs Internal vs External

CSS Syntax: Selectors, Properties, Values

Colors, Units (px, %, em, rem), Fonts

Box Model (margin, border, padding, content)

display: block, inline, inline-block

position: static, relative, absolute, fixed

> Mini Project: Style your HTML profile page with colors, fonts, and spacing.

*Week 3: Layout with CSS*

Flexbox (justify-content, align-items, flex-wrap)

Grid (grid-template-columns, grid-gap, etc.)

Float & Clear (basic understanding)

z-index, overflow

> Mini Project: Build a responsive 3-column layout using Flexbox or Grid.

*Week 4: Responsive Design*

Media Queries

Mobile-first design

Units: vh, vw, em, rem for responsiveness

Using responsive images and typography

> Mini Project: Build a responsive landing page (like a product page or blog homepage)

React with ❤️ if you want similar roadmap for Javascript

*ENJOY LEARNING* 👍👍

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Now, let's move to the next important topic in the Python Learning Series:

*Decorators*

A decorator is a function that adds extra functionality to another function without modifying its actual code.

Think of it like wrapping a gift — the gift (function) stays the same, but you add some nice packaging (extra features).

*How Does It Work?*

In Python, functions are first-class objects — they can be passed around just like variables. This makes decorators possible.

*Syntax Example:*

def greet(func):
def wrapper():
print("Hello!")
func()
print("Have a nice day!")
return wrapper


def say_name():
print("I am learning Python.")

say_name()

*Output:*

Hello!
I am learning Python.
Have a nice day!

Here, is the decorator that wraps say_name().

*Without Using @ Symbol:*

def greet(func):
def wrapper():
print("Hello!")
func()
print("Have a nice day!")
return wrapper

def say_name():
print("I am learning Python.")

say_name = greet(say_name)
say_name()

Works the same way!

*Where Are Decorators Used?*

- Logging

- Access control

- Timing functions

- Modifying behavior for frameworks (like Flask, Django)

*React with ❤️ once you're ready for the next quiz on decorators*

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Now, let's move to the next topic in the Python Learning Series.

*Classes and Objects*

*What is a Class?*

A class is a blueprint — just like an architect’s plan for building houses.

In Python, you create a class using the class keyword.

class Dog:
# This is a class
pass

This doesn't do much yet — it's just an empty plan.

*What is an Object?*

An object is something created from the class — like an actual house built from the plan.

my_dog = Dog()

Now, my_dog is an object (or instance) of the Dog class.

*Let’s Build a Useful Example*

*1. Define the Class*

class Dog:
def __init__(self, name, breed):
self.name = name # Attribute
self.breed = breed # Attribute

def bark(self):
print(f"{self.name} says: Woof!")

__init__() is a special method that runs automatically when you create an object.

self refers to the object being created.

name and breed are attributes.

*2. Create Objects*

dog1 = Dog("Bruno", "Labrador")
dog2 = Dog("Tommy", "Pug")

Now you’ve created two objects of the Dog class.

*3. Call Methods on Objects*

dog1.bark() # Output: Bruno says: Woof!
dog2.bark() # Output: Tommy says: Woof!

*Another Simple Example: Student Class*

class Student:
def __init__(self, name, grade):
self.name = name
self.grade = grade

def display_info(self):
print(f"Name: {self.name}, Grade: {self.grade}")

s1 = Student("Alice", "A")
s2 = Student("Bob", "B")

s1.display_info() # Output: Name: Alice, Grade: A
s2.display_info() # Output: Name: Bob, Grade: B

*Quick Recap:*

- Class: A blueprint or design for creating objects.

- Object: An instance created from the class.

- __init__: A special method (called constructor) that runs automatically when an object is created.

- self: Refers to the current object itself.

- Method: A function defined inside a class that performs an action on the object.

- Attribute: A variable that belongs to the object, usually defined inside __init__.

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Now, let’s move to the next topic in the Python Learning Series

*Working with Dates & Time* 📅⏰

*1. Importing the datetime module*

To work with dates and times, Python provides a built-in module called datetime.

import datetime

*2. Getting the current date and time*

from datetime import datetime

now = datetime.now()
print(now) # Shows full date and time
print(now.date()) # Only date part
print(now.time()) # Only time part

*3. Creating a specific date or time*

from datetime import datetime

my_birthday = datetime(1995, 8, 25) # Year, Month, Day
print(my_birthday)

You can also add hours, minutes, and seconds:

specific_time = datetime(2023, 10, 5, 15, 30, 45)

*4. Formatting Dates (strptime & strftime)*

strftime() — Convert datetime to string in a desired format.

now = datetime.now()
print(now.strftime("%Y-%m-%d")) # Output: 2025-05-01
print(now.strftime("%d/%m/%Y")) # Output: 01/05/2025

strptime() — Convert string back to a datetime object.

date_str = "01/05/2025"
date_obj = datetime.strptime(date_str, "%d/%m/%Y")
print(date_obj)

*5. Doing math with dates (timedelta)*

Use timedelta to add or subtract days, hours, etc.

from datetime import timedelta

today = datetime.now()
tomorrow = today + timedelta(days=1)
yesterday = today - timedelta(days=1)

print("Tomorrow:", tomorrow)
print("Yesterday:", yesterday)

You can also calculate the difference between two dates:

d1 = datetime(2025, 5, 10)
d2 = datetime(2025, 5, 1)
difference = d1 - d2
print(difference.days) # Output: 9

*How to calculate someone’s age*

dob = datetime(1998, 4, 15)
today = datetime.now()
age = today.year - dob.year

# Adjust if birthday hasn’t occurred yet this year

if (today.month, today.day) < (dob.month, dob.day):
age -= 1

print("Age:", age)

*Useful formatting codes for dates*

%Y – Full year (2025)

%y – Short year (25)

%m – Month (01-12)

%d – Day (01-31)

%H – Hour (00-23)

%M – Minute (00-59)

%S – Second (00-59)

This topic is super useful in automation, data analysis, and even web scraping.

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