Advanced SQL Optimization Tips for Data Analysts
Use Proper Indexing: Create indexes for frequently queried columns.
Avoid SELECT *: Specify only required columns to improve performance.
Use WHERE Instead of HAVING: Filter data early in the query.
Limit Joins: Avoid excessive joins to reduce query complexity.
Apply LIMIT or TOP: Retrieve only the required rows.
Optimize Joins: Use INNER JOIN over OUTER JOIN where applicable.
Use Temporary Tables: Break complex queries into smaller parts.
Avoid Functions on Indexed Columns: It prevents index usage.
Use CTEs for Readability: Simplify nested queries using Common Table Expressions.
Analyze Execution Plans: Identify bottlenecks and optimize queries.
Here you can find SQL Interview Resourcesπ
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Like this post if you need more πβ€οΈ
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
Use Proper Indexing: Create indexes for frequently queried columns.
Avoid SELECT *: Specify only required columns to improve performance.
Use WHERE Instead of HAVING: Filter data early in the query.
Limit Joins: Avoid excessive joins to reduce query complexity.
Apply LIMIT or TOP: Retrieve only the required rows.
Optimize Joins: Use INNER JOIN over OUTER JOIN where applicable.
Use Temporary Tables: Break complex queries into smaller parts.
Avoid Functions on Indexed Columns: It prevents index usage.
Use CTEs for Readability: Simplify nested queries using Common Table Expressions.
Analyze Execution Plans: Identify bottlenecks and optimize queries.
Here you can find SQL Interview Resourcesπ
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Like this post if you need more πβ€οΈ
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
β€1
Web Development Interview Questions for Freshers
1. What happens when you type a URL in your browser and press Enter?
Answer:
DNS lookup happens to find the IP address
Browser sends an HTTP/HTTPS request to the server
Server processes and sends back HTML/CSS/JS
Browser renders the page using its rendering engine
2. What is the difference between GET and POST requests?
Answer:
GET: Sends data in the URL, used for fetching data
POST: Sends data in the body, used for submitting data securely
3. What is a responsive website?
Answer:
A responsive website adjusts layout and design based on screen size and device (mobile, tablet, desktop), usually using CSS media queries.
4. What is the role of Webpack in web development?
Answer:
Webpack bundles JavaScript files, CSS, and assets into optimized output for faster website loading and better performance.
5. What is the purpose of async and defer in script tags?
Answer:
async: Loads script asynchronously and executes it immediately
defer: Loads script asynchronously but executes after HTML is parsed
6. What is the difference between localStorage and sessionStorage?
Answer:
localStorage: Stores data with no expiration
sessionStorage: Stores data until the browser tab is closed
7. What is CORS?
Answer:
CORS (Cross-Origin Resource Sharing) is a browser security feature that restricts cross-domain API calls unless the server allows it.
8. What is the difference between null and undefined in JavaScript?
Answer:
undefined: A variable declared but not assigned a value
null: A variable explicitly set to have no value
9. How do you optimize website performance?
Answer:
Minify CSS/JS
Compress images
Use lazy loading
Use caching
Reduce HTTP requests
Use a CDN
10. What is the DOM?
Answer:
DOM (Document Object Model) represents the structure of an HTML document as objects, which JavaScript can interact with to change content dynamically.
Credits: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z/847
1. What happens when you type a URL in your browser and press Enter?
Answer:
DNS lookup happens to find the IP address
Browser sends an HTTP/HTTPS request to the server
Server processes and sends back HTML/CSS/JS
Browser renders the page using its rendering engine
2. What is the difference between GET and POST requests?
Answer:
GET: Sends data in the URL, used for fetching data
POST: Sends data in the body, used for submitting data securely
3. What is a responsive website?
Answer:
A responsive website adjusts layout and design based on screen size and device (mobile, tablet, desktop), usually using CSS media queries.
4. What is the role of Webpack in web development?
Answer:
Webpack bundles JavaScript files, CSS, and assets into optimized output for faster website loading and better performance.
5. What is the purpose of async and defer in script tags?
Answer:
async: Loads script asynchronously and executes it immediately
defer: Loads script asynchronously but executes after HTML is parsed
6. What is the difference between localStorage and sessionStorage?
Answer:
localStorage: Stores data with no expiration
sessionStorage: Stores data until the browser tab is closed
7. What is CORS?
Answer:
CORS (Cross-Origin Resource Sharing) is a browser security feature that restricts cross-domain API calls unless the server allows it.
8. What is the difference between null and undefined in JavaScript?
Answer:
undefined: A variable declared but not assigned a value
null: A variable explicitly set to have no value
9. How do you optimize website performance?
Answer:
Minify CSS/JS
Compress images
Use lazy loading
Use caching
Reduce HTTP requests
Use a CDN
10. What is the DOM?
Answer:
DOM (Document Object Model) represents the structure of an HTML document as objects, which JavaScript can interact with to change content dynamically.
Credits: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z/847
β€1
Want to get started with System design interview preparation, start with these π
1. Learn to understand requirements
2. Learn the difference between horizontal and vertical scaling.
3. Study latency and throughput trade-offs and optimization techniques.
4. Understand the CAP Theorem (Consistency, Availability, Partition Tolerance).
5. Learn HTTP/HTTPS protocols, request-response lifecycle, and headers.
6. Understand DNS and how domain resolution works.
7. Study load balancers, their types (Layer 4 and Layer 7), and algorithms.
8. Learn about CDNs, their use cases, and caching strategies.
9. Understand SQL databases (ACID properties, normalization) and NoSQL types (keyβvalue, document, graph).
10. Study caching tools (Redis, Memcached) and strategies (write-through, write-back, eviction policies).
11. Learn about blob storage systems like S3 or Google Cloud Storage.
12. Study sharding and horizontal partitioning of databases.
13. Understand replication (leaderβfollower, multi-leader) and consistency models.
14. Learn failover mechanisms like active-passive and active-active setups.
15. Study message queues like RabbitMQ, Kafka, and SQS.
16. Understand consensus algorithms such as Paxos and Raft.
17. Learn event-driven architectures, Pub/Sub models, and event sourcing.
18. Study distributed transactions (two-phase commit, sagas).
19. Learn rate-limiting techniques (token bucket, leaky bucket algorithms).
20. Study API design principles for REST, GraphQL, and gRPC.
21. Understand microservices architecture, communication, and trade-offs with monoliths.
22. Learn authentication and authorization methods (OAuth, JWT, SSO).
23. Study metrics collection tools like Prometheus or Datadog.
24. Understand logging systems (e.g., ELK stack) and tracing tools (OpenTelemetry, Jaeger).
25.Learn about encryption (data at rest and in transit) and rate-limiting for security.
26. And then practise the most commonly asked questions like URL shorteners, chat systems, ride-sharing apps, search engines, video streaming, and e-commerce websites
Coding Interview Resources: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
1. Learn to understand requirements
2. Learn the difference between horizontal and vertical scaling.
3. Study latency and throughput trade-offs and optimization techniques.
4. Understand the CAP Theorem (Consistency, Availability, Partition Tolerance).
5. Learn HTTP/HTTPS protocols, request-response lifecycle, and headers.
6. Understand DNS and how domain resolution works.
7. Study load balancers, their types (Layer 4 and Layer 7), and algorithms.
8. Learn about CDNs, their use cases, and caching strategies.
9. Understand SQL databases (ACID properties, normalization) and NoSQL types (keyβvalue, document, graph).
10. Study caching tools (Redis, Memcached) and strategies (write-through, write-back, eviction policies).
11. Learn about blob storage systems like S3 or Google Cloud Storage.
12. Study sharding and horizontal partitioning of databases.
13. Understand replication (leaderβfollower, multi-leader) and consistency models.
14. Learn failover mechanisms like active-passive and active-active setups.
15. Study message queues like RabbitMQ, Kafka, and SQS.
16. Understand consensus algorithms such as Paxos and Raft.
17. Learn event-driven architectures, Pub/Sub models, and event sourcing.
18. Study distributed transactions (two-phase commit, sagas).
19. Learn rate-limiting techniques (token bucket, leaky bucket algorithms).
20. Study API design principles for REST, GraphQL, and gRPC.
21. Understand microservices architecture, communication, and trade-offs with monoliths.
22. Learn authentication and authorization methods (OAuth, JWT, SSO).
23. Study metrics collection tools like Prometheus or Datadog.
24. Understand logging systems (e.g., ELK stack) and tracing tools (OpenTelemetry, Jaeger).
25.Learn about encryption (data at rest and in transit) and rate-limiting for security.
26. And then practise the most commonly asked questions like URL shorteners, chat systems, ride-sharing apps, search engines, video streaming, and e-commerce websites
Coding Interview Resources: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
β€2
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?
β€2
Python Cheatsheet π
1οΈβ£ 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)
2οΈβ£ Operators
Arithmetic: +, -, *, /, //, %, **
Comparison: ==, !=, >, <, >=, <=
Logical: and, or, not
Membership: in, not in
3οΈβ£ 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
4οΈβ£ Functions
Defining & Calling:
def greet(name):
return f"Hello, {name}"
print(greet("Alice"))
Lambda Functions: add = lambda x, y: x + y
5οΈβ£ Lists & Dictionary Operations
Append: items.append(4)
Remove: items.remove(2)
List Comprehension: [x**2 for x in range(5)]
Dictionary Access: person["name"]
6οΈβ£ 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!")
7οΈβ£ Exception Handling
try:
result = 10 / 0
except ZeroDivisionError:
print("Cannot divide by zero!")
finally:
print("Done")
8οΈβ£ 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
9οΈβ£ 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)
π 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 ππ
1οΈβ£ 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)
2οΈβ£ Operators
Arithmetic: +, -, *, /, //, %, **
Comparison: ==, !=, >, <, >=, <=
Logical: and, or, not
Membership: in, not in
3οΈβ£ 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
4οΈβ£ Functions
Defining & Calling:
def greet(name):
return f"Hello, {name}"
print(greet("Alice"))
Lambda Functions: add = lambda x, y: x + y
5οΈβ£ Lists & Dictionary Operations
Append: items.append(4)
Remove: items.remove(2)
List Comprehension: [x**2 for x in range(5)]
Dictionary Access: person["name"]
6οΈβ£ 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!")
7οΈβ£ Exception Handling
try:
result = 10 / 0
except ZeroDivisionError:
print("Cannot divide by zero!")
finally:
print("Done")
8οΈβ£ 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
9οΈβ£ 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)
π 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 ππ
β€4
π Coding Projects & Ideas π»
Inspire your next portfolio project β from beginner to pro!
ποΈ Beginner-Friendly Projects
1οΈβ£ To-Do List App β Create tasks, mark as done, store in browser.
2οΈβ£ Weather App β Fetch live weather data using a public API.
3οΈβ£ Unit Converter β Convert currencies, length, or weight.
4οΈβ£ Personal Portfolio Website β Showcase skills, projects & resume.
5οΈβ£ Calculator App β Build a clean UI for basic math operations.
βοΈ Intermediate Projects
6οΈβ£ Chatbot with AI β Use NLP libraries to answer user queries.
7οΈβ£ Stock Market Tracker β Real-time graphs & stock performance.
8οΈβ£ Expense Tracker β Manage budgets & visualize spending.
9οΈβ£ Image Classifier (ML) β Classify objects using pre-trained models.
π E-Commerce Website β Product catalog, cart, payment gateway.
π Advanced Projects
1οΈβ£1οΈβ£ Blockchain Voting System β Decentralized & tamper-proof elections.
1οΈβ£2οΈβ£ Social Media Analytics Dashboard β Analyze engagement, reach & sentiment.
1οΈβ£3οΈβ£ AI Code Assistant β Suggest code improvements or detect bugs.
1οΈβ£4οΈβ£ IoT Smart Home App β Control devices using sensors and Raspberry Pi.
1οΈβ£5οΈβ£ AR/VR Simulation β Build immersive learning or game experiences.
π‘ Tip: Build in public. Share your process on GitHub, LinkedIn & Twitter.
π₯ React β€οΈ for more project ideas!
Inspire your next portfolio project β from beginner to pro!
ποΈ Beginner-Friendly Projects
1οΈβ£ To-Do List App β Create tasks, mark as done, store in browser.
2οΈβ£ Weather App β Fetch live weather data using a public API.
3οΈβ£ Unit Converter β Convert currencies, length, or weight.
4οΈβ£ Personal Portfolio Website β Showcase skills, projects & resume.
5οΈβ£ Calculator App β Build a clean UI for basic math operations.
βοΈ Intermediate Projects
6οΈβ£ Chatbot with AI β Use NLP libraries to answer user queries.
7οΈβ£ Stock Market Tracker β Real-time graphs & stock performance.
8οΈβ£ Expense Tracker β Manage budgets & visualize spending.
9οΈβ£ Image Classifier (ML) β Classify objects using pre-trained models.
π E-Commerce Website β Product catalog, cart, payment gateway.
π Advanced Projects
1οΈβ£1οΈβ£ Blockchain Voting System β Decentralized & tamper-proof elections.
1οΈβ£2οΈβ£ Social Media Analytics Dashboard β Analyze engagement, reach & sentiment.
1οΈβ£3οΈβ£ AI Code Assistant β Suggest code improvements or detect bugs.
1οΈβ£4οΈβ£ IoT Smart Home App β Control devices using sensors and Raspberry Pi.
1οΈβ£5οΈβ£ AR/VR Simulation β Build immersive learning or game experiences.
π‘ Tip: Build in public. Share your process on GitHub, LinkedIn & Twitter.
π₯ React β€οΈ for more project ideas!
β€6
Backend Development β Essential Concepts π
1οΈβ£ Backend vs. Frontend
Frontend β Handles UI/UX (HTML, CSS, JavaScript, React, Vue).
Backend β Manages server, database, APIs, and business logic.
2οΈβ£ Backend Programming Languages
Python β Django, Flask, FastAPI.
JavaScript β Node.js, Express.js.
Java β Spring Boot.
PHP β Laravel.
Ruby β Ruby on Rails.
Go β Gin, Echo.
3οΈβ£ Databases
SQL Databases β MySQL, PostgreSQL, MS SQL, MariaDB.
NoSQL Databases β MongoDB, Firebase, Cassandra, DynamoDB.
ORM (Object-Relational Mapping) β SQLAlchemy (Python), Sequelize (Node.js).
4οΈβ£ APIs & Web Services
REST API β Uses HTTP methods (GET, POST, PUT, DELETE).
GraphQL β Flexible API querying.
WebSockets β Real-time communication.
gRPC β High-performance communication.
5οΈβ£ Authentication & Security
JWT (JSON Web Token) β Secure user authentication.
OAuth 2.0 β Third-party authentication (Google, Facebook).
Hashing & Encryption β Protecting user data (bcrypt, AES).
CORS & CSRF Protection β Prevent security vulnerabilities.
6οΈβ£ Server & Hosting
Cloud Providers β AWS, Google Cloud, Azure.
Serverless Computing β AWS Lambda, Firebase Functions.
Docker & Kubernetes β Containerization and orchestration.
7οΈβ£ Caching & Performance Optimization
Redis & Memcached β Fast data caching.
Load Balancing β Distribute traffic efficiently.
CDN (Content Delivery Network) β Faster content delivery.
8οΈβ£ DevOps & Deployment
CI/CD Pipelines β GitHub Actions, Jenkins, GitLab CI.
Monitoring & Logging β Prometheus, ELK Stack.
Version Control β Git, GitHub, GitLab.
Like it if you need a complete tutorial on all these topics! πβ€οΈ
Web Development Best Resources
ENJOY LEARNING ππ
1οΈβ£ Backend vs. Frontend
Frontend β Handles UI/UX (HTML, CSS, JavaScript, React, Vue).
Backend β Manages server, database, APIs, and business logic.
2οΈβ£ Backend Programming Languages
Python β Django, Flask, FastAPI.
JavaScript β Node.js, Express.js.
Java β Spring Boot.
PHP β Laravel.
Ruby β Ruby on Rails.
Go β Gin, Echo.
3οΈβ£ Databases
SQL Databases β MySQL, PostgreSQL, MS SQL, MariaDB.
NoSQL Databases β MongoDB, Firebase, Cassandra, DynamoDB.
ORM (Object-Relational Mapping) β SQLAlchemy (Python), Sequelize (Node.js).
4οΈβ£ APIs & Web Services
REST API β Uses HTTP methods (GET, POST, PUT, DELETE).
GraphQL β Flexible API querying.
WebSockets β Real-time communication.
gRPC β High-performance communication.
5οΈβ£ Authentication & Security
JWT (JSON Web Token) β Secure user authentication.
OAuth 2.0 β Third-party authentication (Google, Facebook).
Hashing & Encryption β Protecting user data (bcrypt, AES).
CORS & CSRF Protection β Prevent security vulnerabilities.
6οΈβ£ Server & Hosting
Cloud Providers β AWS, Google Cloud, Azure.
Serverless Computing β AWS Lambda, Firebase Functions.
Docker & Kubernetes β Containerization and orchestration.
7οΈβ£ Caching & Performance Optimization
Redis & Memcached β Fast data caching.
Load Balancing β Distribute traffic efficiently.
CDN (Content Delivery Network) β Faster content delivery.
8οΈβ£ DevOps & Deployment
CI/CD Pipelines β GitHub Actions, Jenkins, GitLab CI.
Monitoring & Logging β Prometheus, ELK Stack.
Version Control β Git, GitHub, GitLab.
Like it if you need a complete tutorial on all these topics! πβ€οΈ
Web Development Best Resources
ENJOY LEARNING ππ
β€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
ENJOY LEARNING ππ
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 ππ
β€4π1
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.
Free Resources to learn web development https://t.me/free4unow_backup/554
Web Development Best Resources: https://topmate.io/coding/930165
ENJOY LEARNING ππ
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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