Languages and their uses 😁😂

🧿 Top 10 VS Code Extensions 📚👨‍💻

✨ Prettier - Clean, consistent auto-formatting

🧩 Bracket Pair Colorizer - Color-coded brackets

⚡️ Live Server - Auto-refresh websites as you code

📸 CodeSnap - Snap stunning code screenshots

🖤 Aura Theme - Sleek dark mode for your editor

🎨 Material Icon Theme - Colorful file icons, easy nav

🤖 GitHub Copilot - AI code buddy with smart suggestions

⚙️ ESLint - Catch and fix errors on the fly

🚀 Tabnine - Speed up coding with AI autocomplete

🔍 Path Intellisense - Auto path imports, zero hassle

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⌨️ Grammar Correction using Python

Python Cheatsheet ♥️

1. Common Data Types
int, float – numbers
str – text
list – ordered, changeable collection
dict – key-value pairs
tuple – like list, but unchangeable
set – unique, unordered items

2. Essential Functions
print() – display output
type() – check data type
len() – count items
range() – generate numbers
input() – take user input

3. String Methods
.upper(), .lower() – change case
.strip() – remove whitespace
.replace() – swap text
.split() – break into list

4. List Methods
append() – add item
pop() – remove item
sort() – sort list
[1:4] – slicing (get part of list)

5. Dictionary Basics
Access: mydict['key']
Safe access: mydict.get('key')
Add/Update: mydict['new'] = value

6. Control Flow
if / elif / else – conditions
for – loop over items
while – loop with condition
break / continue – control loop

7. Functions
def – define a function
return – return a value
lambda – short anonymous function

8. Useful Built-in Modules
math – sqrt, pi, round
random – random numbers, choices
datetime – current date/time
os – system & file handling

9. Popular Libraries for Data Work
NumPy – numerical operations
Pandas – dataframes and analysis
Matplotlib

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#python

10 Python Concepts Every Developer Should Know

✅ List Comprehensions – Write cleaner loops in a single line
✅ Lambda Functions – Anonymous functions for quick operations
✅ Decorators – Add functionality to functions without changing them
✅ Generators & Iterators – Handle large data efficiently with lazy evaluation
✅ OOP (Classes & Inheritance) – Build scalable, reusable code
✅ Exception Handling – Write error-proof programs with try-except blocks
✅ Modules & Packages – Organize your code like a pro
✅ Virtual Environments (venv) – Keep dependencies isolated per project
✅ File Handling (with open) – Read/write files securely
✅ Type Hinting – Make your code more readable and less error-prone

Free Python Resources: 👇 https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L