🐍 PYTHON – DAY 1 STUDY MATERIAL
✨ Topic: Introduction to Python & Installation
━━━━━━━━━━━━━━━━━━━
📌 What is Python?
Python is a high-level, interpreted, and general-purpose programming language.
It is easy to learn and widely used in web development, data science, artificial intelligence, automation, and scripting.
━━━━━━━━━━━━━━━━━━━
🎯 Why Learn Python?
✅ Easy to read and write
✅ Beginner-friendly syntax
✅ Huge library support
✅ Platform independent
✅ Used by top companies like Google, Netflix, Instagram
━━━━━━━━━━━━━━━━━━━
⚙️ Features of Python
✔ Interpreted Language
✔ High-Level Language
✔ Object-Oriented
✔ Dynamically Typed
✔ Portable (Windows, Linux, Mac)
✔ Open Source and Free
━━━━━━━━━━━━━━━━━━━
🔢 Python Versions
❌ Python 2 – Deprecated
✅ Python 3 – Recommended
👉 Always use Python 3
━━━━━━━━━━━━━━━━━━━
💻 How to Install Python (Windows)
1️⃣ Visit 👉 https://www.python.org
2️⃣ Download Python 3.x
3️⃣ Select ☑ Add Python to PATH
4️⃣ Click Install
5️⃣ Verify installation using:
python --version
━━━━━━━━━━━━━━━━━━━
🚀 Python Execution Modes
🔹 Interactive Mode
print("Hello Python")
🔹 Script Mode
Create file: hello.py
print("Hello Python")
Run using command:
python hello.py
━━━━━━━━━━━━━━━━━━━
👋 First Python Program
print("Hello World")
🖨 Output:
Hello World
━━━━━━━━━━━━━━━━━━━
🧠 Python Syntax Rules
• Python is case-sensitive
• Indentation is mandatory
• No semicolon required
Example:
if True:
print("Python is easy")
━━━━━━━━━━━━━━━━━━━
💬 Comments in Python
🔹 Single-line comment
This is a comment
🔹 Multi-line comment
"""
This is
a multi-line
comment
"""
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 1
✔ Install Python
✔ Run Python in interactive mode
✔ Write your first Python program
✔ Print your name using Python
Example:
print("My name is Soham")
━━━━━━━━━━━━━━━━━━━
🎯 Day 1 Goal
✔ Understand Python basics
✔ Install Python successfully
✔ Run your first Python program
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 2
🔥 Variables & Data Types
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
✨ Topic: Introduction to Python & Installation
━━━━━━━━━━━━━━━━━━━
📌 What is Python?
Python is a high-level, interpreted, and general-purpose programming language.
It is easy to learn and widely used in web development, data science, artificial intelligence, automation, and scripting.
━━━━━━━━━━━━━━━━━━━
🎯 Why Learn Python?
✅ Easy to read and write
✅ Beginner-friendly syntax
✅ Huge library support
✅ Platform independent
✅ Used by top companies like Google, Netflix, Instagram
━━━━━━━━━━━━━━━━━━━
⚙️ Features of Python
✔ Interpreted Language
✔ High-Level Language
✔ Object-Oriented
✔ Dynamically Typed
✔ Portable (Windows, Linux, Mac)
✔ Open Source and Free
━━━━━━━━━━━━━━━━━━━
🔢 Python Versions
❌ Python 2 – Deprecated
✅ Python 3 – Recommended
👉 Always use Python 3
━━━━━━━━━━━━━━━━━━━
💻 How to Install Python (Windows)
1️⃣ Visit 👉 https://www.python.org
2️⃣ Download Python 3.x
3️⃣ Select ☑ Add Python to PATH
4️⃣ Click Install
5️⃣ Verify installation using:
python --version
━━━━━━━━━━━━━━━━━━━
🚀 Python Execution Modes
🔹 Interactive Mode
print("Hello Python")
🔹 Script Mode
Create file: hello.py
print("Hello Python")
Run using command:
python hello.py
━━━━━━━━━━━━━━━━━━━
👋 First Python Program
print("Hello World")
🖨 Output:
Hello World
━━━━━━━━━━━━━━━━━━━
🧠 Python Syntax Rules
• Python is case-sensitive
• Indentation is mandatory
• No semicolon required
Example:
if True:
print("Python is easy")
━━━━━━━━━━━━━━━━━━━
💬 Comments in Python
🔹 Single-line comment
This is a comment
🔹 Multi-line comment
"""
This is
a multi-line
comment
"""
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 1
✔ Install Python
✔ Run Python in interactive mode
✔ Write your first Python program
✔ Print your name using Python
Example:
print("My name is Soham")
━━━━━━━━━━━━━━━━━━━
🎯 Day 1 Goal
✔ Understand Python basics
✔ Install Python successfully
✔ Run your first Python program
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 2
🔥 Variables & Data Types
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
❤3
🐍 PYTHON – DAY 2 STUDY MATERIAL
✨ Topic: Variables & Data Types
━━━━━━━━━━━━━━━━━━━
📌 What is a Variable?
A variable is a name given to a memory location used to store data in a program.
Python variables do not need data type declaration.
Example:
x = 10
name = "Python"
━━━━━━━━━━━━━━━━━━━
🧠 Rules for Naming Variables
✔ Must start with a letter (a–z, A–Z) or underscore (_)
✔ Can contain letters, numbers, and underscore
❌ Cannot start with a number
❌ Cannot use keywords
Valid:
my_var, _count, total1
Invalid:
1total, my-var, class
━━━━━━━━━━━━━━━━━━━
⚙️ Dynamic Typing in Python
Python automatically decides the data type based on the value.
Example:
x = 10
x = "Hello"
Same variable, different data type ✔
━━━━━━━━━━━━━━━━━━━
🔢 Data Types in Python
📍 Integer (int)
Stores whole numbers
Example:
a = 25
📍 Float (float)
Stores decimal numbers
Example:
b = 10.5
📍 String (str)
Stores text or characters
Example:
name = "Python"
📍 Boolean (bool)
Stores True or False
Example:
is_active = True
━━━━━━━━━━━━━━━━━━━
🔍 Check Data Type
Use type() function
Example:
x = 10
print(type(x))
Output:
<class 'int'>
━━━━━━━━━━━━━━━━━━━
🔁 Type Conversion (Type Casting)
📌 Convert to Integer
int(10.5) → 10
📌 Convert to Float
float(5) → 5.0
📌 Convert to String
str(100) → "100"
Example:
x = int("20")
y = float(5)
━━━━━━━━━━━━━━━━━━
📥 User Input in Python
Python takes input as string by default.
Example:
name = input("Enter your name: ")
print(name)
Input with type conversion:
age = int(input("Enter age: "))
━━━━━━━━━━━━━━━━━━━
🧮 Multiple Assignment
Example:
a, b, c = 10, 20, 30
Same value assignment:
x = y = z = 5
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 2
✔ Create variables of different data types
✔ Use type() to check data type
✔ Take user input for name and age
✔ Convert string input to integer
Example Program:
name = input("Enter name: ")
age = int(input("Enter age: "))
print(name, age)
━━━━━━━━━━━━━━━━━━━
🎯 Day 2 Goal
✔ Understand variables
✔ Learn Python data types
✔ Take user input confidently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 3
🔥 Operators in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
✨ Topic: Variables & Data Types
━━━━━━━━━━━━━━━━━━━
📌 What is a Variable?
A variable is a name given to a memory location used to store data in a program.
Python variables do not need data type declaration.
Example:
x = 10
name = "Python"
━━━━━━━━━━━━━━━━━━━
🧠 Rules for Naming Variables
✔ Must start with a letter (a–z, A–Z) or underscore (_)
✔ Can contain letters, numbers, and underscore
❌ Cannot start with a number
❌ Cannot use keywords
Valid:
my_var, _count, total1
Invalid:
1total, my-var, class
━━━━━━━━━━━━━━━━━━━
⚙️ Dynamic Typing in Python
Python automatically decides the data type based on the value.
Example:
x = 10
x = "Hello"
Same variable, different data type ✔
━━━━━━━━━━━━━━━━━━━
🔢 Data Types in Python
📍 Integer (int)
Stores whole numbers
Example:
a = 25
📍 Float (float)
Stores decimal numbers
Example:
b = 10.5
📍 String (str)
Stores text or characters
Example:
name = "Python"
📍 Boolean (bool)
Stores True or False
Example:
is_active = True
━━━━━━━━━━━━━━━━━━━
🔍 Check Data Type
Use type() function
Example:
x = 10
print(type(x))
Output:
<class 'int'>
━━━━━━━━━━━━━━━━━━━
🔁 Type Conversion (Type Casting)
📌 Convert to Integer
int(10.5) → 10
📌 Convert to Float
float(5) → 5.0
📌 Convert to String
str(100) → "100"
Example:
x = int("20")
y = float(5)
━━━━━━━━━━━━━━━━━━
📥 User Input in Python
Python takes input as string by default.
Example:
name = input("Enter your name: ")
print(name)
Input with type conversion:
age = int(input("Enter age: "))
━━━━━━━━━━━━━━━━━━━
🧮 Multiple Assignment
Example:
a, b, c = 10, 20, 30
Same value assignment:
x = y = z = 5
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 2
✔ Create variables of different data types
✔ Use type() to check data type
✔ Take user input for name and age
✔ Convert string input to integer
Example Program:
name = input("Enter name: ")
age = int(input("Enter age: "))
print(name, age)
━━━━━━━━━━━━━━━━━━━
🎯 Day 2 Goal
✔ Understand variables
✔ Learn Python data types
✔ Take user input confidently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 3
🔥 Operators in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
🐍 PYTHON – DAY 3 STUDY MATERIAL
✨ Topic: Operators in Python
━━━━━━━━━━━━━━━━━━━
📌 What are Operators?
Operators are symbols used to perform operations on variables and values.
Example:
a = 10
b = 5
c = a + b
━━━━━━━━━━━━━━━━━━━
➕ Arithmetic Operators
Addition
Subtraction
Multiplication
/ Division
% Modulus
** Exponent
// Floor Division
Example:
a = 10
b = 3
print(a + b) # 13
print(a % b) # 1
print(a ** b) # 1000
print(a // b) # 3
━━━━━━━━━━━━━━━━━━━
🟰 Assignment Operators
= Assign
+= Add and assign
-= Subtract and assign
*= Multiply and assign
/= Divide and assign
Example:
x = 10
x += 5
print(x) # 15
━━━━━━━━━━━━━━━━━━━
🔍 Comparison Operators
== Equal to
!= Not equal
Greater than
< Less than
= Greater than or equal
<= Less than or equal
Example:
a = 10
b = 5
print(a > b) # True
print(a == b) # False
━━━━━━━━━━━━━━━━━━━
🧠 Logical Operators
and → True if both conditions are True
or → True if any condition is True
not → Reverses the result
Example:
a = 10
print(a > 5 and a < 20)
print(a > 5 or a > 20)
print(not(a > 5))
━━━━━━━━━━━━━━━━━━━
🔗 Membership Operators
in → True if value is present
not in → True if value is not present
Example:
nums = [1, 2, 3, 4]
print(3 in nums)
print(5 not in nums)
━━━━━━━━━━━━━━━━━━━
🆔 Identity Operators
is → True if both refer to same object
is not → True if different objects
Example:
a = 10
b = 10
print(a is b)
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 3
✔ Perform all arithmetic operations
✔ Compare two numbers
✔ Use logical operators with conditions
✔ Check membership in a list
Example Program:
a = int(input("Enter a number: "))
b = int(input("Enter another number: "))
print(a > b)
━━━━━━━━━━━━━━━━━━━
🎯 Day 3 Goal
✔ Understand all Python operators
✔ Use operators in real programs
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 4
🔥 Conditional Statements (if, if-else)
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
✨ Topic: Operators in Python
━━━━━━━━━━━━━━━━━━━
📌 What are Operators?
Operators are symbols used to perform operations on variables and values.
Example:
a = 10
b = 5
c = a + b
━━━━━━━━━━━━━━━━━━━
➕ Arithmetic Operators
Addition
Subtraction
Multiplication
/ Division
% Modulus
** Exponent
// Floor Division
Example:
a = 10
b = 3
print(a + b) # 13
print(a % b) # 1
print(a ** b) # 1000
print(a // b) # 3
━━━━━━━━━━━━━━━━━━━
🟰 Assignment Operators
= Assign
+= Add and assign
-= Subtract and assign
*= Multiply and assign
/= Divide and assign
Example:
x = 10
x += 5
print(x) # 15
━━━━━━━━━━━━━━━━━━━
🔍 Comparison Operators
== Equal to
!= Not equal
Greater than
< Less than
= Greater than or equal
<= Less than or equal
Example:
a = 10
b = 5
print(a > b) # True
print(a == b) # False
━━━━━━━━━━━━━━━━━━━
🧠 Logical Operators
and → True if both conditions are True
or → True if any condition is True
not → Reverses the result
Example:
a = 10
print(a > 5 and a < 20)
print(a > 5 or a > 20)
print(not(a > 5))
━━━━━━━━━━━━━━━━━━━
🔗 Membership Operators
in → True if value is present
not in → True if value is not present
Example:
nums = [1, 2, 3, 4]
print(3 in nums)
print(5 not in nums)
━━━━━━━━━━━━━━━━━━━
🆔 Identity Operators
is → True if both refer to same object
is not → True if different objects
Example:
a = 10
b = 10
print(a is b)
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 3
✔ Perform all arithmetic operations
✔ Compare two numbers
✔ Use logical operators with conditions
✔ Check membership in a list
Example Program:
a = int(input("Enter a number: "))
b = int(input("Enter another number: "))
print(a > b)
━━━━━━━━━━━━━━━━━━━
🎯 Day 3 Goal
✔ Understand all Python operators
✔ Use operators in real programs
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 4
🔥 Conditional Statements (if, if-else)
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
🐍 PYTHON – DAY 4 STUDY MATERIAL
✨ Topic: Conditional Statements (if, if-else)
━━━━━━━━━━━━━━━━━━━
📌 What are Conditional Statements?
Conditional statements are used to make decisions in a program based on conditions.
Python executes code only if the condition is True.
━━━━━━━━━━━━━━━━━━━
🔹 if Statement
Used to execute a block of code when a condition is True.
Syntax:
if condition:
statement
Example:
age = 18
if age >= 18:
print("Eligible to vote")
━━━━━━━━━━━━━━━━━━━
🔹 if-else Statement
Used when two conditions are possible.
Syntax:
if condition:
statement
else:
statement
Example:
num = 5
if num % 2 == 0:
print("Even number")
else:
print("Odd number")
━━━━━━━━━━━━━━━━━━━
🔹 Indentation in Python
Indentation defines code blocks in Python.
Incorrect indentation causes errors.
Correct:
if True:
print("Python")
Wrong:
if True:
print("Python")
━━━━━━━━━━━━━━━━━━━
🔹 Relational Operators with if
You can use comparison operators inside conditions.
Example:
a = 10
b = 20
if a < b:
print("b is greater")
━━━━━━━━━━━━━━━━━━━
🔹 Multiple Conditions using Logical Operators
Example:
age = 25
if age >= 18 and age <= 60:
print("Eligible")
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 4
✔ Check whether a number is positive or negative
✔ Check even or odd number
✔ Check voting eligibility
✔ Compare two numbers
Example Program:
num = int(input("Enter a number: "))
if num >= 0:
print("Positive number")
else:
print("Negative number")
━━━━━━━━━━━━━━━━━━━
🎯 Day 4 Goal
✔ Understand decision making in Python
✔ Use if and if-else confidently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 5
🔥 if-elif-else & Nested Conditions
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
✨ Topic: Conditional Statements (if, if-else)
━━━━━━━━━━━━━━━━━━━
📌 What are Conditional Statements?
Conditional statements are used to make decisions in a program based on conditions.
Python executes code only if the condition is True.
━━━━━━━━━━━━━━━━━━━
🔹 if Statement
Used to execute a block of code when a condition is True.
Syntax:
if condition:
statement
Example:
age = 18
if age >= 18:
print("Eligible to vote")
━━━━━━━━━━━━━━━━━━━
🔹 if-else Statement
Used when two conditions are possible.
Syntax:
if condition:
statement
else:
statement
Example:
num = 5
if num % 2 == 0:
print("Even number")
else:
print("Odd number")
━━━━━━━━━━━━━━━━━━━
🔹 Indentation in Python
Indentation defines code blocks in Python.
Incorrect indentation causes errors.
Correct:
if True:
print("Python")
Wrong:
if True:
print("Python")
━━━━━━━━━━━━━━━━━━━
🔹 Relational Operators with if
You can use comparison operators inside conditions.
Example:
a = 10
b = 20
if a < b:
print("b is greater")
━━━━━━━━━━━━━━━━━━━
🔹 Multiple Conditions using Logical Operators
Example:
age = 25
if age >= 18 and age <= 60:
print("Eligible")
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 4
✔ Check whether a number is positive or negative
✔ Check even or odd number
✔ Check voting eligibility
✔ Compare two numbers
Example Program:
num = int(input("Enter a number: "))
if num >= 0:
print("Positive number")
else:
print("Negative number")
━━━━━━━━━━━━━━━━━━━
🎯 Day 4 Goal
✔ Understand decision making in Python
✔ Use if and if-else confidently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 5
🔥 if-elif-else & Nested Conditions
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
❤1
🐍 PYTHON – DAY 5 STUDY MATERIAL
✨ Topic: if-elif-else & Nested Conditions
━━━━━━━━━━━━━━━━━━━
📌 What is if-elif-else?
The if-elif-else statement is used when multiple conditions need to be checked.
Python checks conditions from top to bottom and executes the first True block.
━━━━━━━━━━━━━━━━━━━
🔹 if-elif-else Syntax
if condition1:
statement
elif condition2:
statement
elif condition3:
statement
else:
statement
━━━━━━━━━━━━━━━━━━━
🔹 Example: Grade System
marks = 85
if marks >= 90:
print("Grade A")
elif marks >= 75:
print("Grade B")
elif marks >= 60:
print("Grade C")
else:
print("Fail")
━━━━━━━━━━━━━━━━━━━
🔹 Nested if Statement
An if inside another if is called nested if.
Example:
age = 20
if age >= 18:
if age <= 60:
print("Eligible")
else:
print("Over age limit")
else:
print("Not eligible")
━━━━━━━━━━━━━━━━━━━
🔹 Logical Operators with Conditions
Logical operators can reduce nested conditions.
Example:
age = 25
if age >= 18 and age <= 60:
print("Eligible")
━━━━━━━━━━━━━━━━━━━
🔹 Common Mistakes
❌ Using wrong indentation
❌ Missing colon (:)
❌ Wrong condition order
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 5
✔ Create a grade calculator
✔ Check eligibility using nested if
✔ Find largest of three numbers
✔ Convert nested if into logical condition
Example Program:
a = int(input("Enter first number: "))
b = int(input("Enter second number: "))
c = int(input("Enter third number: "))
if a > b and a > c:
print("a is largest")
elif b > c:
print("b is largest")
else:
print("c is largest")
━━━━━━━━━━━━━━━━━━━
🎯 Day 5 Goal
✔ Handle multiple conditions
✔ Write clean conditional logic
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 6
🔥 while Loop in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
✨ Topic: if-elif-else & Nested Conditions
━━━━━━━━━━━━━━━━━━━
📌 What is if-elif-else?
The if-elif-else statement is used when multiple conditions need to be checked.
Python checks conditions from top to bottom and executes the first True block.
━━━━━━━━━━━━━━━━━━━
🔹 if-elif-else Syntax
if condition1:
statement
elif condition2:
statement
elif condition3:
statement
else:
statement
━━━━━━━━━━━━━━━━━━━
🔹 Example: Grade System
marks = 85
if marks >= 90:
print("Grade A")
elif marks >= 75:
print("Grade B")
elif marks >= 60:
print("Grade C")
else:
print("Fail")
━━━━━━━━━━━━━━━━━━━
🔹 Nested if Statement
An if inside another if is called nested if.
Example:
age = 20
if age >= 18:
if age <= 60:
print("Eligible")
else:
print("Over age limit")
else:
print("Not eligible")
━━━━━━━━━━━━━━━━━━━
🔹 Logical Operators with Conditions
Logical operators can reduce nested conditions.
Example:
age = 25
if age >= 18 and age <= 60:
print("Eligible")
━━━━━━━━━━━━━━━━━━━
🔹 Common Mistakes
❌ Using wrong indentation
❌ Missing colon (:)
❌ Wrong condition order
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 5
✔ Create a grade calculator
✔ Check eligibility using nested if
✔ Find largest of three numbers
✔ Convert nested if into logical condition
Example Program:
a = int(input("Enter first number: "))
b = int(input("Enter second number: "))
c = int(input("Enter third number: "))
if a > b and a > c:
print("a is largest")
elif b > c:
print("b is largest")
else:
print("c is largest")
━━━━━━━━━━━━━━━━━━━
🎯 Day 5 Goal
✔ Handle multiple conditions
✔ Write clean conditional logic
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 6
🔥 while Loop in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
🐍 PYTHON – DAY 6 STUDY MATERIAL
✨ Topic: while Loop in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a Loop?
A loop is used to repeat a block of code multiple times until a condition becomes False.
━━━━━━━━━━━━━━━━━━━
🔁 What is while Loop?
The while loop executes a block of code as long as the condition is True.
━━━━━━━━━━━━━━━━━━━
🔹 Syntax of while Loop
while condition:
statement
━━━━━━━━━━━━━━━━━━━
🔹 Example: Print Numbers 1 to 5
i = 1
while i <= 5:
print(i)
i = i + 1
━━━━━━━━━━━━━━━━━━━
🔹 Example: Sum of Numbers
i = 1
sum = 0
while i <= 5:
sum = sum + i
i = i + 1
print(sum)
━━━━━━━━━━━━━━━━━━━
🔹 Infinite Loop
A loop that never ends is called an infinite loop.
Example (Avoid this):
while True:
print("Python")
━━━━━━━━━━━━━━━━━━━
🔹 Common Mistakes in while Loop
❌ Forgetting to update loop variable
❌ Wrong condition
❌ Infinite loop
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 6
✔ Print numbers from 1 to 10
✔ Print even numbers using while loop
✔ Find factorial of a number
✔ Reverse a number
Example Program:
num = int(input("Enter a number: "))
rev = 0
while num > 0:
digit = num % 10
rev = rev * 10 + digit
num = num // 10
print("Reverse:", rev)
━━━━━━━━━━━━━━━━━━━
🎯 Day 6 Goal
✔ Understand repetition using while loop
✔ Avoid infinite loops
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 7
🔥 for Loop in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: while Loop in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a Loop?
A loop is used to repeat a block of code multiple times until a condition becomes False.
━━━━━━━━━━━━━━━━━━━
🔁 What is while Loop?
The while loop executes a block of code as long as the condition is True.
━━━━━━━━━━━━━━━━━━━
🔹 Syntax of while Loop
while condition:
statement
━━━━━━━━━━━━━━━━━━━
🔹 Example: Print Numbers 1 to 5
i = 1
while i <= 5:
print(i)
i = i + 1
━━━━━━━━━━━━━━━━━━━
🔹 Example: Sum of Numbers
i = 1
sum = 0
while i <= 5:
sum = sum + i
i = i + 1
print(sum)
━━━━━━━━━━━━━━━━━━━
🔹 Infinite Loop
A loop that never ends is called an infinite loop.
Example (Avoid this):
while True:
print("Python")
━━━━━━━━━━━━━━━━━━━
🔹 Common Mistakes in while Loop
❌ Forgetting to update loop variable
❌ Wrong condition
❌ Infinite loop
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 6
✔ Print numbers from 1 to 10
✔ Print even numbers using while loop
✔ Find factorial of a number
✔ Reverse a number
Example Program:
num = int(input("Enter a number: "))
rev = 0
while num > 0:
digit = num % 10
rev = rev * 10 + digit
num = num // 10
print("Reverse:", rev)
━━━━━━━━━━━━━━━━━━━
🎯 Day 6 Goal
✔ Understand repetition using while loop
✔ Avoid infinite loops
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 7
🔥 for Loop in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 7 STUDY MATERIAL
✨ Topic: for Loop in Python
━━━━━━━━━━━━━━━━━━━
📌 What is for Loop?
The for loop is used to iterate over a sequence such as a list, tuple, string, or range.
━━━━━━━━━━━━━━━━━━━
🔹 Syntax of for Loop
for variable in sequence:
statement
━━━━━━━━━━━━━━━━━━━
🔹 Using range() Function
range() generates a sequence of numbers.
range(start, stop, step)
Example:
for i in range(1, 6):
print(i)
Output:
1 2 3 4 5
━━━━━━━━━━━━━━━━━━
🔹 Example: Print Even Numbers
for i in range(2, 11, 2):
print(i)
━━━━━━━━━━━━━━━━━━━
🔹 Looping Through a String
for ch in "Python":
print(ch)
━━━━━━━━━━━━━━━━━━━
🔹 Nested for Loop
A for loop inside another for loop.
Example:
for i in range(1, 4):
for j in range(1, 4):
print(i, j)
━━━━━━━━━━━━━━━━━━━
🔹 Difference Between for and while Loop
• for loop is used when number of iterations is known
• while loop is used when condition is unknown
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 7
✔ Print numbers from 1 to 10
✔ Print multiplication table
✔ Print characters of a string
✔ Create star pattern using nested loop
Example Program:
for i in range(1, 6):
print("*" * i)
━━━━━━━━━━━━━━━━━━━
🎯 Day 7 Goal
✔ Master iteration using for loop
✔ Use range() confidently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 8
🔥 break, continue & pass Statements
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: for Loop in Python
━━━━━━━━━━━━━━━━━━━
📌 What is for Loop?
The for loop is used to iterate over a sequence such as a list, tuple, string, or range.
━━━━━━━━━━━━━━━━━━━
🔹 Syntax of for Loop
for variable in sequence:
statement
━━━━━━━━━━━━━━━━━━━
🔹 Using range() Function
range() generates a sequence of numbers.
range(start, stop, step)
Example:
for i in range(1, 6):
print(i)
Output:
1 2 3 4 5
━━━━━━━━━━━━━━━━━━
🔹 Example: Print Even Numbers
for i in range(2, 11, 2):
print(i)
━━━━━━━━━━━━━━━━━━━
🔹 Looping Through a String
for ch in "Python":
print(ch)
━━━━━━━━━━━━━━━━━━━
🔹 Nested for Loop
A for loop inside another for loop.
Example:
for i in range(1, 4):
for j in range(1, 4):
print(i, j)
━━━━━━━━━━━━━━━━━━━
🔹 Difference Between for and while Loop
• for loop is used when number of iterations is known
• while loop is used when condition is unknown
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 7
✔ Print numbers from 1 to 10
✔ Print multiplication table
✔ Print characters of a string
✔ Create star pattern using nested loop
Example Program:
for i in range(1, 6):
print("*" * i)
━━━━━━━━━━━━━━━━━━━
🎯 Day 7 Goal
✔ Master iteration using for loop
✔ Use range() confidently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 8
🔥 break, continue & pass Statements
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 8 STUDY MATERIAL
✨ Topic: break, continue & pass Statements
━━━━━━━━━━━━━━━━━━━
📌 Control Statements in Python
Control statements are used to change the normal flow of loops.
Python provides three control statements:
• break
• continue
• pass
━━━━━━━━━━━━━━━━━━━
🛑 break Statement
The break statement is used to terminate the loop immediately when a condition is met.
Example:
for i in range(1, 10):
if i == 5:
break
print(i)
Output:
1 2 3 4
━━━━━━━━━━━━━━━━━━━
⏭ continue Statement
The continue statement skips the current iteration and moves to the next one.
Example:
for i in range(1, 6):
if i == 3:
continue
print(i)
Output:
1 2 4 5
━━━━━━━━━━━━━━━━━━
⏸ pass Statement
The pass statement is used as a placeholder where a statement is required but no action is needed.
Example:
for i in range(1, 5):
if i == 2:
pass
print(i)
━━━━━━━━━━━━━━━━━━━
🔍 Difference Between break, continue & pass
• break → Stops loop completely
• continue → Skips current iteration
• pass → Does nothing, avoids error
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 8
✔ Stop loop when number equals 7
✔ Skip printing number 5
✔ Use pass inside empty if block
✔ Combine loop with break & continue
Example Program:
for i in range(1, 11):
if i == 5:
continue
if i == 8:
break
print(i)
━━━━━━━━━━━━━━━━━━━
🎯 Day 8 Goal
✔ Control loop execution
✔ Understand loop flow clearly
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 9
🔥 Pattern Programs (Stars & Numbers)
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
✨ Topic: break, continue & pass Statements
━━━━━━━━━━━━━━━━━━━
📌 Control Statements in Python
Control statements are used to change the normal flow of loops.
Python provides three control statements:
• break
• continue
• pass
━━━━━━━━━━━━━━━━━━━
🛑 break Statement
The break statement is used to terminate the loop immediately when a condition is met.
Example:
for i in range(1, 10):
if i == 5:
break
print(i)
Output:
1 2 3 4
━━━━━━━━━━━━━━━━━━━
⏭ continue Statement
The continue statement skips the current iteration and moves to the next one.
Example:
for i in range(1, 6):
if i == 3:
continue
print(i)
Output:
1 2 4 5
━━━━━━━━━━━━━━━━━━
⏸ pass Statement
The pass statement is used as a placeholder where a statement is required but no action is needed.
Example:
for i in range(1, 5):
if i == 2:
pass
print(i)
━━━━━━━━━━━━━━━━━━━
🔍 Difference Between break, continue & pass
• break → Stops loop completely
• continue → Skips current iteration
• pass → Does nothing, avoids error
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 8
✔ Stop loop when number equals 7
✔ Skip printing number 5
✔ Use pass inside empty if block
✔ Combine loop with break & continue
Example Program:
for i in range(1, 11):
if i == 5:
continue
if i == 8:
break
print(i)
━━━━━━━━━━━━━━━━━━━
🎯 Day 8 Goal
✔ Control loop execution
✔ Understand loop flow clearly
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 9
🔥 Pattern Programs (Stars & Numbers)
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
React ❤️ If You Got It Right
🐍 PYTHON – DAY 9 STUDY MATERIAL
✨ Topic: Pattern Programs (Stars & Numbers)
━━━━━━━━━━━━━━━━━━━
📌 What are Pattern Programs?
Pattern programs use loops and logic to print designs using stars (*) or numbers.
They help improve loop control and logical thinking.
━━━━━━━━━━━━━━━━━━━
⭐ Star Pattern – Right Triangle
Code:
for i in range(1, 6):
print("*" * i)
━━━━━━━━━━━━━━━━━━━
⭐ Star Pattern – Inverted Triangle
Code:
for i in range(5, 0, -1):
print("*" * i)
━━━━━━━━━━━━━━━━━━━
⭐ Pyramid Star Pattern
Code:
n = 4
for i in range(n):
print(" " * (n - i - 1) + "*" * (2 * i + 1))
━━━━━━━━━━━━━━━━━━━
🔢 Number Pattern – Increasing Numbers
1
12
123
1234
Code:
for i in range(1, 5):
for j in range(1, i + 1):
print(j, end="")
print()
━━━━━━━━━━━━━━━━━━━
🔢 Number Pattern – Same Number
1
22
333
4444
Code:
for i in range(1, 5):
print(str(i) * i)
━━━━━━━━━━━━━━━━━━━
💡 Logic Tips for Pattern Programs
✔ Outer loop → rows
✔ Inner loop → columns
✔ Spaces control alignment
✔ Practice regularly
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 9
✔ Print hollow star rectangle
✔ Print number pyramid
✔ Print reverse number pattern
✔ Create your own pattern
━━━━━━━━━━━━━━━━━━━
🎯 Day 9 Goal
✔ Master nested loops
✔ Improve logical thinking
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 10
🔥 Functions in Python (Basics)
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: Pattern Programs (Stars & Numbers)
━━━━━━━━━━━━━━━━━━━
📌 What are Pattern Programs?
Pattern programs use loops and logic to print designs using stars (*) or numbers.
They help improve loop control and logical thinking.
━━━━━━━━━━━━━━━━━━━
⭐ Star Pattern – Right Triangle
Code:
for i in range(1, 6):
print("*" * i)
━━━━━━━━━━━━━━━━━━━
⭐ Star Pattern – Inverted Triangle
Code:
for i in range(5, 0, -1):
print("*" * i)
━━━━━━━━━━━━━━━━━━━
⭐ Pyramid Star Pattern
Code:
n = 4
for i in range(n):
print(" " * (n - i - 1) + "*" * (2 * i + 1))
━━━━━━━━━━━━━━━━━━━
🔢 Number Pattern – Increasing Numbers
1
12
123
1234
Code:
for i in range(1, 5):
for j in range(1, i + 1):
print(j, end="")
print()
━━━━━━━━━━━━━━━━━━━
🔢 Number Pattern – Same Number
1
22
333
4444
Code:
for i in range(1, 5):
print(str(i) * i)
━━━━━━━━━━━━━━━━━━━
💡 Logic Tips for Pattern Programs
✔ Outer loop → rows
✔ Inner loop → columns
✔ Spaces control alignment
✔ Practice regularly
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 9
✔ Print hollow star rectangle
✔ Print number pyramid
✔ Print reverse number pattern
✔ Create your own pattern
━━━━━━━━━━━━━━━━━━━
🎯 Day 9 Goal
✔ Master nested loops
✔ Improve logical thinking
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 10
🔥 Functions in Python (Basics)
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 10 STUDY MATERIAL
✨ Topic: Functions in Python (Basics)
━━━━━━━━━━━━━━━━━━━
📌 What is a Function?
A function is a block of reusable code that performs a specific task.
Functions help reduce code repetition and improve readability.
━━━━━━━━━━━━━━━━━━━
🔹 Why Use Functions?
✔ Code reusability
✔ Better organization
✔ Easy debugging
✔ Saves time and effort
━━━━━━━━━━━━━━━━━━━
🧩 Syntax of a Function
def function_name():
statement
━━━━━━━━━━━━━━━━━━━
🔹 Example: Simple Function
def greet():
print("Hello Python")
greet()
Output:
Hello Python
━━━━━━━━━━━━━━━━━━━
🔹 Function with Parameters
Parameters are values passed to a function.
Example:
def greet(name):
print("Hello", name)
greet("Soham")
━━━━━━━━━━━━━━━━━━━
🔹 Function with Return Value
The return statement sends a value back to the caller.
Example:
def add(a, b):
return a + b
result = add(10, 20)
print(result)
━━━━━━━━━━━━━━━━━━━
🔹 Function Call
Calling a function means executing it.
Example:
add(5, 3)
━━━━━━━━━━━━━━━━━━━
⚠️ Important Points
• Function name should be meaningful
• Use indentation properly
• return ends the function execution
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 10
✔ Create a function to print your name
✔ Create a function to add two numbers
✔ Create a function to find square of a number
✔ Create a function to check even or odd
Example Program:
def square(n):
return n * n
print(square(5))
━━━━━━━━━━━━━━━━━━━
🎯 Day 10 Goal
✔ Understand function basics
✔ Write reusable code
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 11
🔥 Function Arguments (Types)
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: Functions in Python (Basics)
━━━━━━━━━━━━━━━━━━━
📌 What is a Function?
A function is a block of reusable code that performs a specific task.
Functions help reduce code repetition and improve readability.
━━━━━━━━━━━━━━━━━━━
🔹 Why Use Functions?
✔ Code reusability
✔ Better organization
✔ Easy debugging
✔ Saves time and effort
━━━━━━━━━━━━━━━━━━━
🧩 Syntax of a Function
def function_name():
statement
━━━━━━━━━━━━━━━━━━━
🔹 Example: Simple Function
def greet():
print("Hello Python")
greet()
Output:
Hello Python
━━━━━━━━━━━━━━━━━━━
🔹 Function with Parameters
Parameters are values passed to a function.
Example:
def greet(name):
print("Hello", name)
greet("Soham")
━━━━━━━━━━━━━━━━━━━
🔹 Function with Return Value
The return statement sends a value back to the caller.
Example:
def add(a, b):
return a + b
result = add(10, 20)
print(result)
━━━━━━━━━━━━━━━━━━━
🔹 Function Call
Calling a function means executing it.
Example:
add(5, 3)
━━━━━━━━━━━━━━━━━━━
⚠️ Important Points
• Function name should be meaningful
• Use indentation properly
• return ends the function execution
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 10
✔ Create a function to print your name
✔ Create a function to add two numbers
✔ Create a function to find square of a number
✔ Create a function to check even or odd
Example Program:
def square(n):
return n * n
print(square(5))
━━━━━━━━━━━━━━━━━━━
🎯 Day 10 Goal
✔ Understand function basics
✔ Write reusable code
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 11
🔥 Function Arguments (Types)
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
❤1
🐍 PYTHON – DAY 11 STUDY MATERIAL
✨ Topic: Function Arguments (Types)
━━━━━━━━━━━━━━━━━━━
📌 What are Function Arguments?
Arguments are values passed to a function when it is called.
They allow functions to work with different inputs.
━━━━━━━━━━━━━━━━━━━
🔹 1. Positional Arguments
Arguments are passed in the same order as parameters.
Example:
def add(a, b):
print(a + b)
add(10, 5)
━━━━━━━━━━━━━━━━━━━
🔹 2. Keyword Arguments
Arguments are passed using parameter names, order does not matter.
Example:
def greet(name, msg):
print(msg, name)
greet(msg="Hello", name="Soham")
━━━━━━━━━━━━━━━━━━━
🔹 3. Default Arguments
Default values are used when no argument is passed.
Example:
def greet(name="User"):
print("Hello", name)
greet()
greet("Python")
━━━━━━━━━━━━━━━━━━━
🔹 4. Variable-Length Arguments (*args)
Used when number of arguments is unknown.
Example:
def total(*nums):
print(sum(nums))
total(10, 20, 30)
━━━━━━━━━━━━━━━━━━━
🔹 5. Keyword Variable-Length Arguments
Used to pass key-value pairs.
Example:
def details(**info):
print(info)
details(name="Soham", age=20)
━━━━━━━━━━━━━━━━━━━
⚠️ Important Notes
• Positional arguments come first
• Default arguments should be last
• *args → tuple
• **kwargs → dictionary
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 11
✔ Use positional & keyword arguments
✔ Create function with default value
✔ Create function using *args
✔ Create function using **kwargs
Example Program:
def marks(*m):
print(sum(m))
marks(60, 70, 80)
━━━━━━━━━━━━━━━━━━━
🎯 Day 11 Goal
✔ Understand all types of function arguments
✔ Write flexible functions
━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 12
🔥 Recursion in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: Function Arguments (Types)
━━━━━━━━━━━━━━━━━━━
📌 What are Function Arguments?
Arguments are values passed to a function when it is called.
They allow functions to work with different inputs.
━━━━━━━━━━━━━━━━━━━
🔹 1. Positional Arguments
Arguments are passed in the same order as parameters.
Example:
def add(a, b):
print(a + b)
add(10, 5)
━━━━━━━━━━━━━━━━━━━
🔹 2. Keyword Arguments
Arguments are passed using parameter names, order does not matter.
Example:
def greet(name, msg):
print(msg, name)
greet(msg="Hello", name="Soham")
━━━━━━━━━━━━━━━━━━━
🔹 3. Default Arguments
Default values are used when no argument is passed.
Example:
def greet(name="User"):
print("Hello", name)
greet()
greet("Python")
━━━━━━━━━━━━━━━━━━━
🔹 4. Variable-Length Arguments (*args)
Used when number of arguments is unknown.
Example:
def total(*nums):
print(sum(nums))
total(10, 20, 30)
━━━━━━━━━━━━━━━━━━━
🔹 5. Keyword Variable-Length Arguments
Used to pass key-value pairs.
Example:
def details(**info):
print(info)
details(name="Soham", age=20)
━━━━━━━━━━━━━━━━━━━
⚠️ Important Notes
• Positional arguments come first
• Default arguments should be last
• *args → tuple
• **kwargs → dictionary
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 11
✔ Use positional & keyword arguments
✔ Create function with default value
✔ Create function using *args
✔ Create function using **kwargs
Example Program:
def marks(*m):
print(sum(m))
marks(60, 70, 80)
━━━━━━━━━━━━━━━━━━━
🎯 Day 11 Goal
✔ Understand all types of function arguments
✔ Write flexible functions
━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 12
🔥 Recursion in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 12 STUDY MATERIAL
✨ Topic: Recursion in Python
━━━━━━━━━━━━━━━━━━━
📌 What is Recursion?
Recursion is a technique where a function calls itself to solve a problem.
It is useful for problems that can be broken into smaller sub-problems.
━━━━━━━━━━━━━━━━━━━
🔹 Two Important Parts of Recursion
1️⃣ Base Condition – Stops recursion
2️⃣ Recursive Call – Function calls itself
Without base condition → infinite recursion ❌
━━━━━━━━━━━━━━━━━━━
🔹 Syntax of Recursive Function
def function_name():
if base_condition:
return value
return function_name(smaller_problem)
━━━━━━━━━━━━━━━━━━━
🔢 Example: Factorial using Recursion
def factorial(n):
if n == 1:
return 1
return n * factorial(n - 1)
print(factorial(5))
Output:
120
━━━━━━━━━━━━━━━━━━━
🔁 Example: Fibonacci Series
def fib(n):
if n <= 1:
return n
return fib(n - 1) + fib(n - 2)
print(fib(6))
━━━━━━━━━━━━━━━━━━━
⚠️ Important Notes
• Always define a base case
• Recursive calls increase memory usage
• Not suitable for very large problems
━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 12
✔ Find factorial of a number
✔ Print Fibonacci series
✔ Calculate sum of digits using recursion
✔ Reverse a number using recursion
Example Program:
def sum_digits(n):
if n == 0:
return 0
return n % 10 + sum_digits(n // 10)
print(sum_digits(123))
━━━━━━━━━━━━━━━━━━━
🎯 Day 12 Goal
✔ Understand recursive thinking
✔ Write correct recursive functions
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 13
🔥 Strings in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: Recursion in Python
━━━━━━━━━━━━━━━━━━━
📌 What is Recursion?
Recursion is a technique where a function calls itself to solve a problem.
It is useful for problems that can be broken into smaller sub-problems.
━━━━━━━━━━━━━━━━━━━
🔹 Two Important Parts of Recursion
1️⃣ Base Condition – Stops recursion
2️⃣ Recursive Call – Function calls itself
Without base condition → infinite recursion ❌
━━━━━━━━━━━━━━━━━━━
🔹 Syntax of Recursive Function
def function_name():
if base_condition:
return value
return function_name(smaller_problem)
━━━━━━━━━━━━━━━━━━━
🔢 Example: Factorial using Recursion
def factorial(n):
if n == 1:
return 1
return n * factorial(n - 1)
print(factorial(5))
Output:
120
━━━━━━━━━━━━━━━━━━━
🔁 Example: Fibonacci Series
def fib(n):
if n <= 1:
return n
return fib(n - 1) + fib(n - 2)
print(fib(6))
━━━━━━━━━━━━━━━━━━━
⚠️ Important Notes
• Always define a base case
• Recursive calls increase memory usage
• Not suitable for very large problems
━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 12
✔ Find factorial of a number
✔ Print Fibonacci series
✔ Calculate sum of digits using recursion
✔ Reverse a number using recursion
Example Program:
def sum_digits(n):
if n == 0:
return 0
return n % 10 + sum_digits(n // 10)
print(sum_digits(123))
━━━━━━━━━━━━━━━━━━━
🎯 Day 12 Goal
✔ Understand recursive thinking
✔ Write correct recursive functions
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 13
🔥 Strings in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 13 STUDY MATERIAL
✨ Topic: Strings in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a String?
A string is a sequence of characters enclosed in single (' ') or double (" ") quotes.
Example:
name = "Python"
msg = 'Hello'
━━━━━━━━━━━━━━━━━━━
🔢 String Indexing
Each character in a string has an index number, starting from 0.
Example:
text = "Python"
text[0] → P
text[1] → y
text[-1] → n
━━━━━━━━━━━━━━━━━━━
✂️ String Slicing
Used to extract a portion of a string.
Syntax:
string[start:end]
Example:
text = "Python"
print(text[0:3]) # Pyt
print(text[2:]) # thon
print(text[:4]) # Pyth
━━━━━━━━━━━━━━━━━━
🔁 String Looping
Example:
for ch in "Python":
print(ch)
━━━━━━━━━━━━━━━━━━━
🧮 String Length
Use len() to find string length.
Example:
text = "Python"
print(len(text))
━━━━━━━━━━━━━━━━━━━
🔒 Strings are Immutable
Strings cannot be changed once created.
Example:
text = "Python"
text[0] = 'J' ❌ Error
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 13
✔ Print each character of a string
✔ Reverse a string
✔ Find length of a string
✔ Extract substring
Example Program:
text = input("Enter a string: ")
print(text[::-1])
━━━━━━━━━━━━━━━━━━━
🎯 Day 13 Goal
✔ Understand string basics
✔ Use indexing and slicing confidently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 14
🔥 String Methods
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: Strings in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a String?
A string is a sequence of characters enclosed in single (' ') or double (" ") quotes.
Example:
name = "Python"
msg = 'Hello'
━━━━━━━━━━━━━━━━━━━
🔢 String Indexing
Each character in a string has an index number, starting from 0.
Example:
text = "Python"
text[0] → P
text[1] → y
text[-1] → n
━━━━━━━━━━━━━━━━━━━
✂️ String Slicing
Used to extract a portion of a string.
Syntax:
string[start:end]
Example:
text = "Python"
print(text[0:3]) # Pyt
print(text[2:]) # thon
print(text[:4]) # Pyth
━━━━━━━━━━━━━━━━━━
🔁 String Looping
Example:
for ch in "Python":
print(ch)
━━━━━━━━━━━━━━━━━━━
🧮 String Length
Use len() to find string length.
Example:
text = "Python"
print(len(text))
━━━━━━━━━━━━━━━━━━━
🔒 Strings are Immutable
Strings cannot be changed once created.
Example:
text = "Python"
text[0] = 'J' ❌ Error
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 13
✔ Print each character of a string
✔ Reverse a string
✔ Find length of a string
✔ Extract substring
Example Program:
text = input("Enter a string: ")
print(text[::-1])
━━━━━━━━━━━━━━━━━━━
🎯 Day 13 Goal
✔ Understand string basics
✔ Use indexing and slicing confidently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 14
🔥 String Methods
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 14 STUDY MATERIAL
✨ Topic: String Methods in Python
━━━━━━━━━━━━━━━━━━━
📌 What are String Methods?
String methods are built-in functions used to manipulate and format strings.
━━━━━━━━━━━━━━━━━━━
🔤 Common String Methods
🔹 upper() – Converts string to uppercase
Example:
text = "python"
print(text.upper())
🔹 lower() – Converts string to lowercase
print(text.lower())
🔹 title() – Capitalizes first letter of each word
print("hello world".title())
🔹 capitalize() – Capitalizes first character
print("python".capitalize())
━━━━━━━━━━━━━━━━━━━
✂️ Trim Methods
🔹 strip() – Removes spaces from both sides
🔹 lstrip() – Removes left spaces
🔹 rstrip() – Removes right spaces
Example:
text = " python "
print(text.strip())
━━━━━━━━━━━━━━━━━━━
🔁 Replace & Split
🔹 replace() – Replaces part of string
print("hello python".replace("python", "world"))
🔹 split() – Splits string into list
print("a,b,c".split(","))
━━━━━━━━━━━━━━━━━━━
🔍 Search Methods
🔹 find() – Returns index of substring
print("python".find("t"))
🔹 count() – Counts occurrences
print("banana".count("a"))
━━━━━━━━━━━━━━━━━━━
❓ Check Methods
🔹 isalpha() – Checks alphabets
🔹 isdigit() – Checks digits
🔹 isalnum() – Checks alphanumeric
Example:
print("Python123".isalnum())
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 14
✔ Convert string to uppercase
✔ Count vowels in string
✔ Replace a word in sentence
✔ Split full name into first and last name
Example Program:
text = input("Enter text: ")
print(text.upper())
━━━━━━━━━━━━━━━━━━━
🎯 Day 14 Goal
✔ Master common string methods
✔ Manipulate strings effectively
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 15
🔥 Lists in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: String Methods in Python
━━━━━━━━━━━━━━━━━━━
📌 What are String Methods?
String methods are built-in functions used to manipulate and format strings.
━━━━━━━━━━━━━━━━━━━
🔤 Common String Methods
🔹 upper() – Converts string to uppercase
Example:
text = "python"
print(text.upper())
🔹 lower() – Converts string to lowercase
print(text.lower())
🔹 title() – Capitalizes first letter of each word
print("hello world".title())
🔹 capitalize() – Capitalizes first character
print("python".capitalize())
━━━━━━━━━━━━━━━━━━━
✂️ Trim Methods
🔹 strip() – Removes spaces from both sides
🔹 lstrip() – Removes left spaces
🔹 rstrip() – Removes right spaces
Example:
text = " python "
print(text.strip())
━━━━━━━━━━━━━━━━━━━
🔁 Replace & Split
🔹 replace() – Replaces part of string
print("hello python".replace("python", "world"))
🔹 split() – Splits string into list
print("a,b,c".split(","))
━━━━━━━━━━━━━━━━━━━
🔍 Search Methods
🔹 find() – Returns index of substring
print("python".find("t"))
🔹 count() – Counts occurrences
print("banana".count("a"))
━━━━━━━━━━━━━━━━━━━
❓ Check Methods
🔹 isalpha() – Checks alphabets
🔹 isdigit() – Checks digits
🔹 isalnum() – Checks alphanumeric
Example:
print("Python123".isalnum())
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 14
✔ Convert string to uppercase
✔ Count vowels in string
✔ Replace a word in sentence
✔ Split full name into first and last name
Example Program:
text = input("Enter text: ")
print(text.upper())
━━━━━━━━━━━━━━━━━━━
🎯 Day 14 Goal
✔ Master common string methods
✔ Manipulate strings effectively
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 15
🔥 Lists in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 15 STUDY MATERIAL
✨ Topic: Lists in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a List?
A list is a collection of items stored in a single variable.
Lists are ordered, mutable (changeable) and allow duplicate values.
━━━━━━━━━━━━━━━━━━━
🔹 Creating a List
Example:
nums = [10, 20, 30, 40]
names = ["Python", "Java", "C"]
━━━━━━━━━━━━━━━━━━━
🔢 List Indexing
Example:
nums = [10, 20, 30]
nums[0] → 10
nums[-1] → 30
━━━━━━━━━━━━━━━━━━━
✂️ List Slicing
Example:
nums = [1, 2, 3, 4, 5]
print(nums[1:4]) # [2, 3, 4]
━━━━━━━━━━━━━━━━━━━
✏️ Modify List Elements
Example:
nums = [10, 20, 30]
nums[1] = 25
print(nums)
━━━━━━━━━━━━━━━━━━━
🔁 Looping Through List
Example:
for n in nums:
print(n)
━━━━━━━━━━━━━━━━━━━
🧮 List Length
Example:
print(len(nums))
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 15
✔ Create a list of numbers
✔ Access elements using index
✔ Change list elements
✔ Print all list elements using loop
Example Program:
nums = [5, 10, 15, 20]
for n in nums:
print(n)
━━━━━━━━━━━━━━━━━━━
🎯 Day 15 Goal
✔ Understand list basics
✔ Use lists confidently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 16
🔥 List Methods
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: Lists in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a List?
A list is a collection of items stored in a single variable.
Lists are ordered, mutable (changeable) and allow duplicate values.
━━━━━━━━━━━━━━━━━━━
🔹 Creating a List
Example:
nums = [10, 20, 30, 40]
names = ["Python", "Java", "C"]
━━━━━━━━━━━━━━━━━━━
🔢 List Indexing
Example:
nums = [10, 20, 30]
nums[0] → 10
nums[-1] → 30
━━━━━━━━━━━━━━━━━━━
✂️ List Slicing
Example:
nums = [1, 2, 3, 4, 5]
print(nums[1:4]) # [2, 3, 4]
━━━━━━━━━━━━━━━━━━━
✏️ Modify List Elements
Example:
nums = [10, 20, 30]
nums[1] = 25
print(nums)
━━━━━━━━━━━━━━━━━━━
🔁 Looping Through List
Example:
for n in nums:
print(n)
━━━━━━━━━━━━━━━━━━━
🧮 List Length
Example:
print(len(nums))
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 15
✔ Create a list of numbers
✔ Access elements using index
✔ Change list elements
✔ Print all list elements using loop
Example Program:
nums = [5, 10, 15, 20]
for n in nums:
print(n)
━━━━━━━━━━━━━━━━━━━
🎯 Day 15 Goal
✔ Understand list basics
✔ Use lists confidently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 16
🔥 List Methods
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 16 STUDY MATERIAL
✨ Topic: List Methods in Python
━━━━━━━━━━━━━━━━━━━
📌 What are List Methods?
List methods are built-in functions used to add, remove, and manage list elements.
━━━━━━━━━━━━━━━━━━━
➕ Adding Elements
🔹 append() – Adds element at the end
Example:
nums = [1, 2, 3]
nums.append(4)
🔹 insert() – Adds element at specific index
nums.insert(1, 10)
🔹 extend() – Adds multiple elements
nums.extend([5, 6])
━━━━━━━━━━━━━━━━━━━
➖ Removing Elements
🔹 remove() – Removes specific value
nums.remove(10)
🔹 pop() – Removes element by index
nums.pop()
nums.pop(1)
🔹 clear() – Removes all elements
nums.clear()
━━━━━━━━━━━━━━━━━━━
🔄 Other Useful List Methods
🔹 sort() – Sorts list
nums.sort()
🔹 reverse() – Reverses list
nums.reverse()
🔹 count() – Counts occurrence
nums.count(2)
🔹 index() – Returns index of value
nums.index(3)
━━━━━━━━━━━━━━━━━━━
🧠 List Copy
🔹 copy() – Creates shallow copy
new_list = nums.copy()
━━━━━━━━━━━━━━━━━━━
⚠️ Important Notes
• Lists are mutable
• sort() changes original list
• Use sorted() to keep original list
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 16
✔ Add elements using append & insert
✔ Remove elements using pop & remove
✔ Sort a list
✔ Reverse a list
Example Program:
nums = [4, 2, 1, 3]
nums.sort()
print(nums)
━━━━━━━━━━━━━━━━━━━
🎯 Day 16 Goal
✔ Master list operations
✔ Manage list data efficiently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 17
🔥 Tuples in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: List Methods in Python
━━━━━━━━━━━━━━━━━━━
📌 What are List Methods?
List methods are built-in functions used to add, remove, and manage list elements.
━━━━━━━━━━━━━━━━━━━
➕ Adding Elements
🔹 append() – Adds element at the end
Example:
nums = [1, 2, 3]
nums.append(4)
🔹 insert() – Adds element at specific index
nums.insert(1, 10)
🔹 extend() – Adds multiple elements
nums.extend([5, 6])
━━━━━━━━━━━━━━━━━━━
➖ Removing Elements
🔹 remove() – Removes specific value
nums.remove(10)
🔹 pop() – Removes element by index
nums.pop()
nums.pop(1)
🔹 clear() – Removes all elements
nums.clear()
━━━━━━━━━━━━━━━━━━━
🔄 Other Useful List Methods
🔹 sort() – Sorts list
nums.sort()
🔹 reverse() – Reverses list
nums.reverse()
🔹 count() – Counts occurrence
nums.count(2)
🔹 index() – Returns index of value
nums.index(3)
━━━━━━━━━━━━━━━━━━━
🧠 List Copy
🔹 copy() – Creates shallow copy
new_list = nums.copy()
━━━━━━━━━━━━━━━━━━━
⚠️ Important Notes
• Lists are mutable
• sort() changes original list
• Use sorted() to keep original list
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 16
✔ Add elements using append & insert
✔ Remove elements using pop & remove
✔ Sort a list
✔ Reverse a list
Example Program:
nums = [4, 2, 1, 3]
nums.sort()
print(nums)
━━━━━━━━━━━━━━━━━━━
🎯 Day 16 Goal
✔ Master list operations
✔ Manage list data efficiently
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 17
🔥 Tuples in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 17 STUDY MATERIAL
✨ Topic: Tuples in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a Tuple?
A tuple is a collection of items stored in a single variable.
Tuples are ordered and immutable (cannot be changed).
━━━━━━━━━━━━━━━━━━━
🔹 Creating a Tuple
Example:
t = (10, 20, 30)
names = ("Python", "Java", "C")
Single element tuple:
x = (10,) ✔ comma is required
━━━━━━━━━━━━━━━━━━━
🔢 Tuple Indexing
Example:
t = (10, 20, 30)
t[0] → 10
t[-1] → 30
━━━━━━━━━━━━━━━━━━━
✂️ Tuple Slicing
Example:
t = (1, 2, 3, 4, 5)
print(t[1:4])
━━━━━━━━━━━━━━━━━━━
🔁 Looping Through Tuple
Example:
for item in t:
print(item)
━━━━━━━━━━━━━━━━━━━
🔒 Tuple Immutability
Tuple elements cannot be modified.
Example:
t = (10, 20, 30)
t[0] = 5 ❌ Error
━━━━━━━━━━━━━━━━━━━
🧮 Tuple Methods
🔹 count() – Counts occurrence
🔹 index() – Returns index
Example:
t = (1, 2, 2, 3)
print(t.count(2))
print(t.index(3))
━━━━━━━━━━━━━━━━━━━
🔄 Convert Tuple to List
Example:
t = (1, 2, 3)
lst = list(t)
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 17
✔ Create tuple of numbers
✔ Access elements using index
✔ Loop through tuple
✔ Convert tuple to list
Example Program:
t = (5, 10, 15)
for i in t:
print(i)
━━━━━━━━━━━━━━━━━━━
🎯 Day 17 Goal
✔ Understand tuple basics
✔ Know difference between list & tuple
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 18
🔥 Sets in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: Tuples in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a Tuple?
A tuple is a collection of items stored in a single variable.
Tuples are ordered and immutable (cannot be changed).
━━━━━━━━━━━━━━━━━━━
🔹 Creating a Tuple
Example:
t = (10, 20, 30)
names = ("Python", "Java", "C")
Single element tuple:
x = (10,) ✔ comma is required
━━━━━━━━━━━━━━━━━━━
🔢 Tuple Indexing
Example:
t = (10, 20, 30)
t[0] → 10
t[-1] → 30
━━━━━━━━━━━━━━━━━━━
✂️ Tuple Slicing
Example:
t = (1, 2, 3, 4, 5)
print(t[1:4])
━━━━━━━━━━━━━━━━━━━
🔁 Looping Through Tuple
Example:
for item in t:
print(item)
━━━━━━━━━━━━━━━━━━━
🔒 Tuple Immutability
Tuple elements cannot be modified.
Example:
t = (10, 20, 30)
t[0] = 5 ❌ Error
━━━━━━━━━━━━━━━━━━━
🧮 Tuple Methods
🔹 count() – Counts occurrence
🔹 index() – Returns index
Example:
t = (1, 2, 2, 3)
print(t.count(2))
print(t.index(3))
━━━━━━━━━━━━━━━━━━━
🔄 Convert Tuple to List
Example:
t = (1, 2, 3)
lst = list(t)
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 17
✔ Create tuple of numbers
✔ Access elements using index
✔ Loop through tuple
✔ Convert tuple to list
Example Program:
t = (5, 10, 15)
for i in t:
print(i)
━━━━━━━━━━━━━━━━━━━
🎯 Day 17 Goal
✔ Understand tuple basics
✔ Know difference between list & tuple
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 18
🔥 Sets in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 18 STUDY MATERIAL
✨ Topic: Sets in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a Set?
A set is a collection of unique elements stored in a single variable.
Sets are unordered and do not allow duplicate values.
━━━━━━━━━━━━━━━━━━━
🔹 Creating a Set
Example:
s = {10, 20, 30}
names = {"Python", "Java", "C"}
Duplicate values are removed automatically:
s = {1, 2, 2, 3}
Output → {1, 2, 3}
━━━━━━━━━━━━━━━━━━━
➕ Add Elements to Set
🔹 add() – Adds single element
s.add(40)
🔹 update() – Adds multiple elements
s.update([50, 60])
━━━━━━━━━━━━━━━━━━━
➖ Remove Elements from Set
🔹 remove() – Removes element (error if not found)
s.remove(20)
🔹 discard() – Removes element (no error)
s.discard(100)
🔹 pop() – Removes random element
s.pop()
━━━━━━━━━━━━━━━━━━━
🔄 Set Operations
🔹 union() – Combines sets
🔹 intersection() – Common elements
🔹 difference() – Remaining elements
Example:
a = {1, 2, 3}
b = {3, 4, 5}
print(a.union(b))
print(a.intersection(b))
print(a.difference(b))
━━━━━━━━━━━━━━━━━━━
🧮 Check Membership
Example:
print(2 in a)
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 18
✔ Create a set
✔ Add and remove elements
✔ Perform union & intersection
✔ Remove duplicate values from list using set
Example Program:
lst = [1, 2, 2, 3, 4]
s = set(lst)
print(s)
━━━━━━━━━━━━━━━━━━━
🎯 Day 18 Goal
✔ Understand set properties
✔ Perform set operations
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 19
🔥 Dictionaries in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: Sets in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a Set?
A set is a collection of unique elements stored in a single variable.
Sets are unordered and do not allow duplicate values.
━━━━━━━━━━━━━━━━━━━
🔹 Creating a Set
Example:
s = {10, 20, 30}
names = {"Python", "Java", "C"}
Duplicate values are removed automatically:
s = {1, 2, 2, 3}
Output → {1, 2, 3}
━━━━━━━━━━━━━━━━━━━
➕ Add Elements to Set
🔹 add() – Adds single element
s.add(40)
🔹 update() – Adds multiple elements
s.update([50, 60])
━━━━━━━━━━━━━━━━━━━
➖ Remove Elements from Set
🔹 remove() – Removes element (error if not found)
s.remove(20)
🔹 discard() – Removes element (no error)
s.discard(100)
🔹 pop() – Removes random element
s.pop()
━━━━━━━━━━━━━━━━━━━
🔄 Set Operations
🔹 union() – Combines sets
🔹 intersection() – Common elements
🔹 difference() – Remaining elements
Example:
a = {1, 2, 3}
b = {3, 4, 5}
print(a.union(b))
print(a.intersection(b))
print(a.difference(b))
━━━━━━━━━━━━━━━━━━━
🧮 Check Membership
Example:
print(2 in a)
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 18
✔ Create a set
✔ Add and remove elements
✔ Perform union & intersection
✔ Remove duplicate values from list using set
Example Program:
lst = [1, 2, 2, 3, 4]
s = set(lst)
print(s)
━━━━━━━━━━━━━━━━━━━
🎯 Day 18 Goal
✔ Understand set properties
✔ Perform set operations
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 19
🔥 Dictionaries in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 19 STUDY MATERIAL
✨ Topic: Dictionaries in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a Dictionary?
A dictionary stores data in key–value pairs.
Dictionaries are unordered, mutable, and keys must be unique.
━━━━━━━━━━━━━━━━━━━
🔹 Creating a Dictionary
Example:
student = {
"name": "Soham",
"age": 20,
"course": "Python"
}
━━━━━━━━━━━━━━━━━━━
🔑 Access Dictionary Values
Example:
print(student["name"])
print(student.get("age"))
━━━━━━━━━━━━━━━━━━━
✏️ Modify Dictionary
Example:
student["age"] = 21
student["city"] = "Pune"
━━━━━━━━━━━━━━━━━━━
❌ Remove Dictionary Items
🔹 pop() – Removes specific key
student.pop("city")
🔹 popitem() – Removes last item
student.popitem()
🔹 clear() – Removes all items
student.clear()
━━━━━━━━━━━━━━━━━━━
🔁 Loop Through Dictionary
Example:
for key in student:
print(key, student[key])
━━━━━━━━━━━━━━━━━━━
🧮 Dictionary Methods
🔹 keys() – Returns all keys
🔹 values() – Returns all values
🔹 items() – Returns key-value pairs
Example:
print(student.keys())
print(student.values())
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 19
✔ Create student dictionary
✔ Add and update values
✔ Loop through dictionary
✔ Delete a key
Example Program:
student = {"name": "Amit", "age": 22}
for k, v in student.items():
print(k, v)
━━━━━━━━━━━━━━━━━━━
🎯 Day 19 Goal
✔ Understand key-value storage
✔ Use dictionaries effectively
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 20
🔥 Dictionary Methods & Nested Dictionary
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: Dictionaries in Python
━━━━━━━━━━━━━━━━━━━
📌 What is a Dictionary?
A dictionary stores data in key–value pairs.
Dictionaries are unordered, mutable, and keys must be unique.
━━━━━━━━━━━━━━━━━━━
🔹 Creating a Dictionary
Example:
student = {
"name": "Soham",
"age": 20,
"course": "Python"
}
━━━━━━━━━━━━━━━━━━━
🔑 Access Dictionary Values
Example:
print(student["name"])
print(student.get("age"))
━━━━━━━━━━━━━━━━━━━
✏️ Modify Dictionary
Example:
student["age"] = 21
student["city"] = "Pune"
━━━━━━━━━━━━━━━━━━━
❌ Remove Dictionary Items
🔹 pop() – Removes specific key
student.pop("city")
🔹 popitem() – Removes last item
student.popitem()
🔹 clear() – Removes all items
student.clear()
━━━━━━━━━━━━━━━━━━━
🔁 Loop Through Dictionary
Example:
for key in student:
print(key, student[key])
━━━━━━━━━━━━━━━━━━━
🧮 Dictionary Methods
🔹 keys() – Returns all keys
🔹 values() – Returns all values
🔹 items() – Returns key-value pairs
Example:
print(student.keys())
print(student.values())
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 19
✔ Create student dictionary
✔ Add and update values
✔ Loop through dictionary
✔ Delete a key
Example Program:
student = {"name": "Amit", "age": 22}
for k, v in student.items():
print(k, v)
━━━━━━━━━━━━━━━━━━━
🎯 Day 19 Goal
✔ Understand key-value storage
✔ Use dictionaries effectively
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 20
🔥 Dictionary Methods & Nested Dictionary
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 20 STUDY MATERIAL
✨ Topic: Dictionary Methods & Nested Dictionary
━━━━━━━━━━━━━━━━━━
📌 Important Dictionary Methods
🔹 update() – Adds or updates key-value pairs
Example:
student = {"name": "Soham"}
student.update({"age": 21})
🔹 get() – Returns value of key
print(student.get("name"))
🔹 setdefault() – Returns value, adds key if not present
student.setdefault("city", "Pune")
━━━━━━━━━━━━━━━━━━━
❌ Removing Dictionary Data
🔹 del – Deletes key
del student["age"]
🔹 clear() – Removes all data
student.clear()
━━━━━━━━━━━━━━━━━━━
🧩 Nested Dictionary
A dictionary inside another dictionary is called a nested dictionary.
Example:
students = {
1: {"name": "Amit", "age": 20},
2: {"name": "Soham", "age": 21}
}
Access nested value:
print(students[1]["name"])
━━━━━━━━━━━━━━━━━━━
🔁 Loop Through Nested Dictionary
Example:
for id, info in students.items():
print(id, info["name"], info["age"])
━━━━━━━━━━━━━━━━━━━
🧮 Copy Dictionary
🔹 copy() – Creates shallow copy
new_dict = student.copy()
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 20
✔ Use update() and setdefault()
✔ Create nested dictionary
✔ Access and print nested values
✔ Loop through nested dictionary
Example Program:
data = {1: {"name": "Raj", "marks": 80}}
print(data[1]["marks"])
━━━━━━━━━━━━━━━━━━━
🎯 Day 20 Goal
✔ Master dictionary methods
✔ Work with nested dictionaries
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 21
🔥 Revision + Practice (Week Review)
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: Dictionary Methods & Nested Dictionary
━━━━━━━━━━━━━━━━━━
📌 Important Dictionary Methods
🔹 update() – Adds or updates key-value pairs
Example:
student = {"name": "Soham"}
student.update({"age": 21})
🔹 get() – Returns value of key
print(student.get("name"))
🔹 setdefault() – Returns value, adds key if not present
student.setdefault("city", "Pune")
━━━━━━━━━━━━━━━━━━━
❌ Removing Dictionary Data
🔹 del – Deletes key
del student["age"]
🔹 clear() – Removes all data
student.clear()
━━━━━━━━━━━━━━━━━━━
🧩 Nested Dictionary
A dictionary inside another dictionary is called a nested dictionary.
Example:
students = {
1: {"name": "Amit", "age": 20},
2: {"name": "Soham", "age": 21}
}
Access nested value:
print(students[1]["name"])
━━━━━━━━━━━━━━━━━━━
🔁 Loop Through Nested Dictionary
Example:
for id, info in students.items():
print(id, info["name"], info["age"])
━━━━━━━━━━━━━━━━━━━
🧮 Copy Dictionary
🔹 copy() – Creates shallow copy
new_dict = student.copy()
━━━━━━━━━━━━━━━━━━━
📝 Practice Tasks – Day 20
✔ Use update() and setdefault()
✔ Create nested dictionary
✔ Access and print nested values
✔ Loop through nested dictionary
Example Program:
data = {1: {"name": "Raj", "marks": 80}}
print(data[1]["marks"])
━━━━━━━━━━━━━━━━━━━
🎯 Day 20 Goal
✔ Master dictionary methods
✔ Work with nested dictionaries
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 21
🔥 Revision + Practice (Week Review)
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
🐍 PYTHON – DAY 21 STUDY MATERIAL
✨ Topic: Revision + Practice (Week Review)
━━━━━━━━━━━━━━━━━━━
📌 Topics Covered (Day 1 – Day 20)
✔ Python Introduction & Installation
✔ Variables & Data Types
✔ Operators
✔ Conditional Statements
✔ while Loop & for Loop
✔ break, continue, pass
✔ Pattern Programs
✔ Functions & Arguments
✔ Recursion
✔ Strings & String Methods
✔ Lists & List Methods
✔ Tuples
✔ Sets
✔ Dictionaries & Nested Dictionary
━━━━━━━━━━━━━━━━━━━
🧠 Quick Revision Points
🔹 Variables are dynamically typed
🔹 Indentation is mandatory in Python
🔹 Lists are mutable, tuples are immutable
🔹 Sets store unique values
🔹 Dictionaries store key-value pairs
🔹 Functions reduce code repetition
━━━━━━━━━━━━━━━━━━━
🧪 Practice Programs – Day 21
1️⃣ Check whether a number is even or odd
num = int(input("Enter number: "))
if num % 2 == 0:
print("Even")
else:
print("Odd")
━━━━━━━━━━━━━━━━━━━
2️⃣ Find sum of elements in a list
nums = [10, 20, 30]
print(sum(nums))
━━━━━━━━━━━━━━━━━━━
3️⃣ Reverse a string
text = input("Enter string: ")
print(text[::-1])
━━━━━━━━━━━━━━━━━━━
4️⃣ Count frequency using dictionary
text = "python"
freq = {}
for ch in text:
freq[ch] = freq.get(ch, 0) + 1
print(freq)
━━━━━━━━━━━━━━━━━━━
⭐ Challenge Tasks
✔ Print star pyramid
✔ Create simple calculator using functions
✔ Remove duplicates from list
✔ Store student data using dictionary
━━━━━━━━━━━━━━━━━━━
🎯 Day 21 Goal
✔ Revise all fundamentals
✔ Identify weak topics
✔ Build confidence in basics
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 22
🔥 File Handling in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder
✨ Topic: Revision + Practice (Week Review)
━━━━━━━━━━━━━━━━━━━
📌 Topics Covered (Day 1 – Day 20)
✔ Python Introduction & Installation
✔ Variables & Data Types
✔ Operators
✔ Conditional Statements
✔ while Loop & for Loop
✔ break, continue, pass
✔ Pattern Programs
✔ Functions & Arguments
✔ Recursion
✔ Strings & String Methods
✔ Lists & List Methods
✔ Tuples
✔ Sets
✔ Dictionaries & Nested Dictionary
━━━━━━━━━━━━━━━━━━━
🧠 Quick Revision Points
🔹 Variables are dynamically typed
🔹 Indentation is mandatory in Python
🔹 Lists are mutable, tuples are immutable
🔹 Sets store unique values
🔹 Dictionaries store key-value pairs
🔹 Functions reduce code repetition
━━━━━━━━━━━━━━━━━━━
🧪 Practice Programs – Day 21
1️⃣ Check whether a number is even or odd
num = int(input("Enter number: "))
if num % 2 == 0:
print("Even")
else:
print("Odd")
━━━━━━━━━━━━━━━━━━━
2️⃣ Find sum of elements in a list
nums = [10, 20, 30]
print(sum(nums))
━━━━━━━━━━━━━━━━━━━
3️⃣ Reverse a string
text = input("Enter string: ")
print(text[::-1])
━━━━━━━━━━━━━━━━━━━
4️⃣ Count frequency using dictionary
text = "python"
freq = {}
for ch in text:
freq[ch] = freq.get(ch, 0) + 1
print(freq)
━━━━━━━━━━━━━━━━━━━
⭐ Challenge Tasks
✔ Print star pyramid
✔ Create simple calculator using functions
✔ Remove duplicates from list
✔ Store student data using dictionary
━━━━━━━━━━━━━━━━━━━
🎯 Day 21 Goal
✔ Revise all fundamentals
✔ Identify weak topics
✔ Build confidence in basics
━━━━━━━━━━━━━━━━━━━
📅 Next Topic – Day 22
🔥 File Handling in Python
✨ Stay Connected | Keep Coding
🚀 TechByWebCoder