Advanced Python Cheat Sheet | OOP, Lists, Dictionaries & Interview Notes, Cheat Sheet of Computer science

This document is an Advanced Python Cheat Sheet designed for learners who already know the basics of Python and want to improve their programming skills. It provides a structured and easy-to-review summary of important advanced Python concepts. The goal of this cheat sheet is to help students, beginners transitioning to intermediate level, and job seekers quickly revise key Python topics without going through long textbooks. This study guide is useful for exam preparation, coding interviews, and practical programming revision. Topics covered in this document include: Object-Oriented Programming (OOP) basics Classes and Objects Functions and Lambda expressions Lists, Tuples, Sets, and Dictionaries Basic Data Structures in Python Useful Python tips and best practices This is a concise revision guide made for quick learning, better understanding, and fast recall of advanced Python concepts.

Typology: Cheat Sheet

2024/2025

Uploaded on 05/20/2026

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Ultimate Python Advanced Cheat Sheet
All in One Reference for Professionals & Learne
Table of ConTenTs
1. Advanced Data Types
2. Functions & Lambdas
3. Decorators & Generators
4. Context Managers
5. Modules & Packages
6. File Handling
7. Exception Handling
8. OOP (Classes & Objects)
9. Useful Built-in Functions
1. Advanced Data Types
# Set operations
a = {1,2,3}
b = {3,4,5}
print(a & b) # Intersection
print(a | b) # Union
# Dictionary comprehension
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Ultimate Python Advanced Cheat Sheet

All in One Reference for Professionals & Learne

Table of ConTenTs

1. Advanced Data Types

2. Functions & Lambdas

3. Decorators & Generators

4. Context Managers

5. Modules & Packages

6. File Handling

7. Exception Handling

8. OOP (Classes & Objects)

9. Useful Built-in Functions

  1. Advanced Data Types

Set operations

a = {1,2,3} b = {3,4,5} print(a & b) # Intersection print(a | b) # Union

Dictionary comprehension

squares = {x: x*x for x in range(5)}

  1. Functions & Lambdas

Lambda function

square = lambda x: x*x print(square(5))

Multiple return

def calc(a, b): return a+b, a*b

  1. Decorators def decorator(func): def wrapper(*args, *kwargs): print("Before function") return func(args, **kwargs) return wrapper @decorator def greet(name): print(f"Hello {name}")
  2. Generators

print(f"Hello {self.name}") p = Person("SAGOR") p.greet()

  1. Useful Built-ins

 map(), filter(), zip(), enumerate(),sorted()

 any(), all(), hasattr(), getattr()

  1. Tricks & Tips

 Swap values: a, b = b, a

 List flatten: [y for x in matrix for y in x]

 Conditional expression: x if condition else y