List of most asked Programming Interview Questions.
Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.
Arrays
- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?
Linked Lists
- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?
Strings
- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?
Binary Trees
- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?
Graph
- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.
Dynamic Programming
1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.
Arrays
- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?
Linked Lists
- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?
Strings
- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?
Binary Trees
- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?
Graph
- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.
Dynamic Programming
1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
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Python Cheatsheet 🚀
1️⃣ Variables & Data Types
x = 10 (Integer)
y = 3.14 (Float)
name = "Python" (String)
is_valid = True (Boolean)
items = [1, 2, 3] (List)
data = (1, 2, 3) (Tuple)
person = {"name": "Alice", "age": 25} (Dictionary)
2️⃣ Operators
Arithmetic: +, -, *, /, //, %, **
Comparison: ==, !=, >, <, >=, <=
Logical: and, or, not
Membership: in, not in
3️⃣ Control Flow
If-Else:
if age > 18:
print("Adult")
elif age == 18:
print("Just turned 18")
else:
print("Minor")
Loops:
for i in range(5):
print(i)
while x < 10:
x += 1
4️⃣ Functions
Defining & Calling:
def greet(name):
return f"Hello, {name}"
print(greet("Alice"))
Lambda Functions: add = lambda x, y: x + y
5️⃣ Lists & Dictionary Operations
Append: items.append(4)
Remove: items.remove(2)
List Comprehension: [x**2 for x in range(5)]
Dictionary Access: person["name"]
6️⃣ File Handling
Read File:
with open("file.txt", "r") as f:
content = f.read()
Write File:
with open("file.txt", "w") as f:
f.write("Hello, World!")
7️⃣ Exception Handling
try:
result = 10 / 0
except ZeroDivisionError:
print("Cannot divide by zero!")
finally:
print("Done")
8️⃣ Modules & Packages
Importing:
import math
print(math.sqrt(25))
Creating a Module (mymodule.py):
def add(x, y):
return x + y
Usage: from mymodule import add
9️⃣ Object-Oriented Programming (OOP)
Defining a Class:
class Person:
def init(self, name, age):
self.name = name
self.age = age
def greet(self):
return f"Hello, my name is {self.name}"
Creating an Object: p = Person("Alice", 25)
🔟 Useful Libraries
NumPy: import numpy as np
Pandas: import pandas as pd
Matplotlib: import matplotlib.pyplot as plt
Requests: import requests
Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
ENJOY LEARNING 👍👍
1️⃣ Variables & Data Types
x = 10 (Integer)
y = 3.14 (Float)
name = "Python" (String)
is_valid = True (Boolean)
items = [1, 2, 3] (List)
data = (1, 2, 3) (Tuple)
person = {"name": "Alice", "age": 25} (Dictionary)
2️⃣ Operators
Arithmetic: +, -, *, /, //, %, **
Comparison: ==, !=, >, <, >=, <=
Logical: and, or, not
Membership: in, not in
3️⃣ Control Flow
If-Else:
if age > 18:
print("Adult")
elif age == 18:
print("Just turned 18")
else:
print("Minor")
Loops:
for i in range(5):
print(i)
while x < 10:
x += 1
4️⃣ Functions
Defining & Calling:
def greet(name):
return f"Hello, {name}"
print(greet("Alice"))
Lambda Functions: add = lambda x, y: x + y
5️⃣ Lists & Dictionary Operations
Append: items.append(4)
Remove: items.remove(2)
List Comprehension: [x**2 for x in range(5)]
Dictionary Access: person["name"]
6️⃣ File Handling
Read File:
with open("file.txt", "r") as f:
content = f.read()
Write File:
with open("file.txt", "w") as f:
f.write("Hello, World!")
7️⃣ Exception Handling
try:
result = 10 / 0
except ZeroDivisionError:
print("Cannot divide by zero!")
finally:
print("Done")
8️⃣ Modules & Packages
Importing:
import math
print(math.sqrt(25))
Creating a Module (mymodule.py):
def add(x, y):
return x + y
Usage: from mymodule import add
9️⃣ Object-Oriented Programming (OOP)
Defining a Class:
class Person:
def init(self, name, age):
self.name = name
self.age = age
def greet(self):
return f"Hello, my name is {self.name}"
Creating an Object: p = Person("Alice", 25)
🔟 Useful Libraries
NumPy: import numpy as np
Pandas: import pandas as pd
Matplotlib: import matplotlib.pyplot as plt
Requests: import requests
Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
ENJOY LEARNING 👍👍
❤4
🚀 Coding Projects & Ideas 💻
Inspire your next portfolio project — from beginner to pro!
🏗️ Beginner-Friendly Projects
1️⃣ To-Do List App – Create tasks, mark as done, store in browser.
2️⃣ Weather App – Fetch live weather data using a public API.
3️⃣ Unit Converter – Convert currencies, length, or weight.
4️⃣ Personal Portfolio Website – Showcase skills, projects & resume.
5️⃣ Calculator App – Build a clean UI for basic math operations.
⚙️ Intermediate Projects
6️⃣ Chatbot with AI – Use NLP libraries to answer user queries.
7️⃣ Stock Market Tracker – Real-time graphs & stock performance.
8️⃣ Expense Tracker – Manage budgets & visualize spending.
9️⃣ Image Classifier (ML) – Classify objects using pre-trained models.
🔟 E-Commerce Website – Product catalog, cart, payment gateway.
🚀 Advanced Projects
1️⃣1️⃣ Blockchain Voting System – Decentralized & tamper-proof elections.
1️⃣2️⃣ Social Media Analytics Dashboard – Analyze engagement, reach & sentiment.
1️⃣3️⃣ AI Code Assistant – Suggest code improvements or detect bugs.
1️⃣4️⃣ IoT Smart Home App – Control devices using sensors and Raspberry Pi.
1️⃣5️⃣ AR/VR Simulation – Build immersive learning or game experiences.
💡 Tip: Build in public. Share your process on GitHub, LinkedIn & Twitter.
🔥 React ❤️ for more project ideas!
Inspire your next portfolio project — from beginner to pro!
🏗️ Beginner-Friendly Projects
1️⃣ To-Do List App – Create tasks, mark as done, store in browser.
2️⃣ Weather App – Fetch live weather data using a public API.
3️⃣ Unit Converter – Convert currencies, length, or weight.
4️⃣ Personal Portfolio Website – Showcase skills, projects & resume.
5️⃣ Calculator App – Build a clean UI for basic math operations.
⚙️ Intermediate Projects
6️⃣ Chatbot with AI – Use NLP libraries to answer user queries.
7️⃣ Stock Market Tracker – Real-time graphs & stock performance.
8️⃣ Expense Tracker – Manage budgets & visualize spending.
9️⃣ Image Classifier (ML) – Classify objects using pre-trained models.
🔟 E-Commerce Website – Product catalog, cart, payment gateway.
🚀 Advanced Projects
1️⃣1️⃣ Blockchain Voting System – Decentralized & tamper-proof elections.
1️⃣2️⃣ Social Media Analytics Dashboard – Analyze engagement, reach & sentiment.
1️⃣3️⃣ AI Code Assistant – Suggest code improvements or detect bugs.
1️⃣4️⃣ IoT Smart Home App – Control devices using sensors and Raspberry Pi.
1️⃣5️⃣ AR/VR Simulation – Build immersive learning or game experiences.
💡 Tip: Build in public. Share your process on GitHub, LinkedIn & Twitter.
🔥 React ❤️ for more project ideas!
❤6
Backend Development – Essential Concepts 🚀
1️⃣ Backend vs. Frontend
Frontend – Handles UI/UX (HTML, CSS, JavaScript, React, Vue).
Backend – Manages server, database, APIs, and business logic.
2️⃣ Backend Programming Languages
Python – Django, Flask, FastAPI.
JavaScript – Node.js, Express.js.
Java – Spring Boot.
PHP – Laravel.
Ruby – Ruby on Rails.
Go – Gin, Echo.
3️⃣ Databases
SQL Databases – MySQL, PostgreSQL, MS SQL, MariaDB.
NoSQL Databases – MongoDB, Firebase, Cassandra, DynamoDB.
ORM (Object-Relational Mapping) – SQLAlchemy (Python), Sequelize (Node.js).
4️⃣ APIs & Web Services
REST API – Uses HTTP methods (GET, POST, PUT, DELETE).
GraphQL – Flexible API querying.
WebSockets – Real-time communication.
gRPC – High-performance communication.
5️⃣ Authentication & Security
JWT (JSON Web Token) – Secure user authentication.
OAuth 2.0 – Third-party authentication (Google, Facebook).
Hashing & Encryption – Protecting user data (bcrypt, AES).
CORS & CSRF Protection – Prevent security vulnerabilities.
6️⃣ Server & Hosting
Cloud Providers – AWS, Google Cloud, Azure.
Serverless Computing – AWS Lambda, Firebase Functions.
Docker & Kubernetes – Containerization and orchestration.
7️⃣ Caching & Performance Optimization
Redis & Memcached – Fast data caching.
Load Balancing – Distribute traffic efficiently.
CDN (Content Delivery Network) – Faster content delivery.
8️⃣ DevOps & Deployment
CI/CD Pipelines – GitHub Actions, Jenkins, GitLab CI.
Monitoring & Logging – Prometheus, ELK Stack.
Version Control – Git, GitHub, GitLab.
Like it if you need a complete tutorial on all these topics! 👍❤️
Web Development Best Resources
ENJOY LEARNING 👍👍
1️⃣ Backend vs. Frontend
Frontend – Handles UI/UX (HTML, CSS, JavaScript, React, Vue).
Backend – Manages server, database, APIs, and business logic.
2️⃣ Backend Programming Languages
Python – Django, Flask, FastAPI.
JavaScript – Node.js, Express.js.
Java – Spring Boot.
PHP – Laravel.
Ruby – Ruby on Rails.
Go – Gin, Echo.
3️⃣ Databases
SQL Databases – MySQL, PostgreSQL, MS SQL, MariaDB.
NoSQL Databases – MongoDB, Firebase, Cassandra, DynamoDB.
ORM (Object-Relational Mapping) – SQLAlchemy (Python), Sequelize (Node.js).
4️⃣ APIs & Web Services
REST API – Uses HTTP methods (GET, POST, PUT, DELETE).
GraphQL – Flexible API querying.
WebSockets – Real-time communication.
gRPC – High-performance communication.
5️⃣ Authentication & Security
JWT (JSON Web Token) – Secure user authentication.
OAuth 2.0 – Third-party authentication (Google, Facebook).
Hashing & Encryption – Protecting user data (bcrypt, AES).
CORS & CSRF Protection – Prevent security vulnerabilities.
6️⃣ Server & Hosting
Cloud Providers – AWS, Google Cloud, Azure.
Serverless Computing – AWS Lambda, Firebase Functions.
Docker & Kubernetes – Containerization and orchestration.
7️⃣ Caching & Performance Optimization
Redis & Memcached – Fast data caching.
Load Balancing – Distribute traffic efficiently.
CDN (Content Delivery Network) – Faster content delivery.
8️⃣ DevOps & Deployment
CI/CD Pipelines – GitHub Actions, Jenkins, GitLab CI.
Monitoring & Logging – Prometheus, ELK Stack.
Version Control – Git, GitHub, GitLab.
Like it if you need a complete tutorial on all these topics! 👍❤️
Web Development Best Resources
ENJOY LEARNING 👍👍
❤3
List of Top 12 Coding Channels on WhatsApp:
1. Python Programming:
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
2. Coding Resources:
https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
3. Coding Projects:
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
4. Coding Interviews:
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
5. Java Programming:
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
6. Javascript:
https://whatsapp.com/channel/0029VavR9OxLtOjJTXrZNi32
7. Web Development:
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
8. Artificial Intelligence:
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
9. Data Science:
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
10. Machine Learning:
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
11. SQL:
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
12. GitHub:
https://whatsapp.com/channel/0029Vawixh9IXnlk7VfY6w43
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1. Python Programming:
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
2. Coding Resources:
https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
3. Coding Projects:
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
4. Coding Interviews:
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
5. Java Programming:
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
6. Javascript:
https://whatsapp.com/channel/0029VavR9OxLtOjJTXrZNi32
7. Web Development:
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
8. Artificial Intelligence:
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
9. Data Science:
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
10. Machine Learning:
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
11. SQL:
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
12. GitHub:
https://whatsapp.com/channel/0029Vawixh9IXnlk7VfY6w43
ENJOY LEARNING 👍👍
❤4👍1
Here are some of the top Python frameworks for web development:
1. Django: A high-level framework that encourages rapid development and clean, pragmatic design. It includes a built-in admin interface, ORM, and many other features.
2. Flask: A micro-framework that is lightweight and easy to set up, making it a popular choice for small to medium-sized projects. It provides the essentials and leaves the rest to extensions.
3. FastAPI: Known for its high performance and ease of use, FastAPI is ideal for building APIs. It supports asynchronous programming and is built on standard Python type hints.
4. Pyramid: A flexible framework that can be used for both small applications and large-scale projects. It provides a minimalistic core with optional add-ons for added functionality.
5. Tornado: Designed for handling large numbers of simultaneous connections, making it a good choice for applications that require real-time capabilities.
6. Bottle: A very lightweight micro-framework that is perfect for small web applications. It is contained in a single file and has no dependencies other than the Python Standard Library.
7. CherryPy: An object-oriented framework that allows developers to build web applications in a similar way to writing other Python programs. It is minimalistic and easy to use.
8. Web2py: A full-stack framework that includes an integrated development environment, a web-based interface, and a web server. It emphasizes ease of use and rapid development.
9. Sanic: An asynchronous framework built for speed. It is designed to handle large volumes of traffic and is well-suited for building fast APIs.
10. Falcon: Another framework focused on building fast APIs. Falcon is lightweight and focuses on performance and reliability.
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1. Django: A high-level framework that encourages rapid development and clean, pragmatic design. It includes a built-in admin interface, ORM, and many other features.
2. Flask: A micro-framework that is lightweight and easy to set up, making it a popular choice for small to medium-sized projects. It provides the essentials and leaves the rest to extensions.
3. FastAPI: Known for its high performance and ease of use, FastAPI is ideal for building APIs. It supports asynchronous programming and is built on standard Python type hints.
4. Pyramid: A flexible framework that can be used for both small applications and large-scale projects. It provides a minimalistic core with optional add-ons for added functionality.
5. Tornado: Designed for handling large numbers of simultaneous connections, making it a good choice for applications that require real-time capabilities.
6. Bottle: A very lightweight micro-framework that is perfect for small web applications. It is contained in a single file and has no dependencies other than the Python Standard Library.
7. CherryPy: An object-oriented framework that allows developers to build web applications in a similar way to writing other Python programs. It is minimalistic and easy to use.
8. Web2py: A full-stack framework that includes an integrated development environment, a web-based interface, and a web server. It emphasizes ease of use and rapid development.
9. Sanic: An asynchronous framework built for speed. It is designed to handle large volumes of traffic and is well-suited for building fast APIs.
10. Falcon: Another framework focused on building fast APIs. Falcon is lightweight and focuses on performance and reliability.
Free Resources to learn web development https://t.iss.one/free4unow_backup/554
Web Development Best Resources: https://topmate.io/coding/930165
ENJOY LEARNING 👍👍
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