Learn Python

Python Topics

Click on a topic to expand and learn in detail.

• 1. Introduction to Python

Python is a high-level, interpreted programming language known for simplicity and readability.

# Hello World
print("Hello World")
      

• 2. Variables & Data Types

# Variables
name = "Alice"
age = 25
pi = 3.14

# Data types: int, float, str, bool, list, tuple, dict, set
      

• 3. Operators

# Arithmetic
sum = 5 + 3

# Comparison
print(5 > 3)  # True

# Logical
print(True and False)  # False
      

• 4. Conditions (if, elif, else)

age = 18
if age >= 18:
    print("Adult")
elif age == 17:
    print("Almost Adult")
else:
    print("Minor")
      

• 5. Loops (for, while)

# For loop
for i in range(5):
    print(i)

# While loop
i = 0
while i < 5:
    print(i)
    i += 1
      

• 6. Functions

def greet(name):
    return "Hello " + name

print(greet("Alice"))

# Lambda function
add = lambda a,b: a+b
print(add(5,3))
      

• 7. Lists, Tuples, Sets

fruits = ["Apple", "Banana", "Mango"]
fruits.append("Orange")
print(fruits[0])  # Apple

tup = (1,2,3)
s = {1,2,3,3}  # Set removes duplicates
      

• 8. Dictionaries

person = {"name": "Alice", "age": 25}
print(person["name"])

person["city"] = "New York"
      

• 9. Strings & String Methods

text = "Hello World"
print(text.upper())
print(text.lower())
print(text.replace("World", "Python"))
      

• 10. File Handling

# Write to file
with open("file.txt", "w") as f:
    f.write("Hello Python")

# Read file
with open("file.txt", "r") as f:
    print(f.read())
      

• 11. Object-Oriented Programming (OOP)

class Person:
    def __init__(self, name, age):
        self.name = name
        self.age = age

    def greet(self):
        print("Hello " + self.name)

p1 = Person("Alice", 25)
p1.greet()
      

• 12. Modules & Libraries

# Import built-in module
import math
print(math.sqrt(16))

# Import custom module
# import mymodule
      

• 13. Advanced Python
• Decorators
• Generators & Iterators
• List Comprehensions
• Exception Handling (try / except / finally)
• Async / Await
• Context Managers (with statement)
• Regular Expressions (re module)
• Working with JSON
• Python Standard Library Overview