🧿 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

React ❤️ for more like this

⌨️ 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

React with ❤️ for more useful Cheatsheets

#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

How to convert image to pdf in Python

# Python3 program to convert image to pfd
# using img2pdf library
 
# importing necessary libraries
import img2pdf
from PIL import Image
import os
 
# storing image path
img_path = "Input.png"
 
# storing pdf path
pdf_path = "file_pdf.pdf"
 
# opening image
image = Image.open(img_path)
 
# converting into chunks using img2pdf
pdf_bytes = img2pdf.convert(image.filename)
 
# opening or creating pdf file
file = open(pdf_path, "wb")
 
# writing pdf files with chunks
file.write(pdf_bytes)
 
# closing image file
image.close()
 
# closing pdf file
file.close()
 
# output
print("Successfully made pdf file")

pip3 install pillow && pip3 install img2pdf

Top 10 Python Concepts
Variables & Data Types

Understand integers, floats, strings, booleans, lists, tuples, sets, and dictionaries.

Control Flow (if, else, elif)
Write logic-based programs using conditional statements.

Loops (for & while)
Automate tasks and iterate over data efficiently.

Functions
Build reusable code blocks with def, understand parameters, return values, and scope.

List Comprehensions
Create and transform lists concisely:
[x*2 for x in range(10) if x % 2 == 0]

Modules & Packages
Import built-in, third-party, or custom modules to structure your code.

Exception Handling
Handle errors using try, except, finally for robust programs.

Object-Oriented Programming (OOP)
Learn classes, objects, inheritance, encapsulation, and polymorphism.

File Handling
Open, read, write, and manage files using open(), read(), write().

Working with Libraries
Use powerful libraries like:
- NumPy for numerical operations
- Pandas for data analysis
- Matplotlib/Seaborn for visualization
- Requests for API calls
- JSON for data parsing

#python

𝗛𝗼𝘄 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗙𝗮𝘀𝘁 (𝗘𝘃𝗲𝗻 𝗜𝗳 𝗬𝗼𝘂'𝘃𝗲 𝗡𝗲𝘃𝗲𝗿 𝗖𝗼𝗱𝗲𝗱 𝗕𝗲𝗳𝗼𝗿𝗲!)🐍🚀

Python is everywhere—web dev, data science, automation, AI…
But where should YOU start if you're a beginner?

Don’t worry. Here’s a 6-step roadmap to master Python the smart way (no fluff, just action)👇

🔹 𝗦𝘁𝗲𝗽 𝟭: Learn the Basics (Don’t Skip This!)
✅ Variables, data types (int, float, string, bool)
✅ Loops (for, while), conditionals (if/else)
✅ Functions and user input
Start with:
Python.org Docs
YouTube: Programming with Mosh / CodeWithHarry
Platforms: W3Schools / SoloLearn / FreeCodeCamp
Spend a week here.

Practice > Theory.

🔹 𝗦𝘁𝗲𝗽 𝟮: Automate Boring Stuff (It’s Fun + Useful!)
✅ Rename files in bulk
✅ Auto-fill forms
✅ Web scraping with BeautifulSoup or Selenium
Read: “Automate the Boring Stuff with Python”
It’s beginner-friendly and practical!

🔹 𝗦𝘁𝗲𝗽 𝟯: Build Mini Projects (Your Confidence Booster)
✅ Calculator app
✅ Dice roll simulator
✅ Password generator
✅ Number guessing game

These small projects teach logic, problem-solving, and syntax in action.

🔹 𝗦𝘁𝗲𝗽 𝟰: Dive Into Libraries (Python’s Superpower)
✅ Pandas and NumPy – for data
✅ Matplotlib – for visualizations
✅ Requests – for APIs
✅ Tkinter – for GUI apps
✅ Flask – for web apps

Libraries are what make Python powerful. Learn one at a time with a mini project.

🔹 𝗦𝘁𝗲𝗽 𝟱: Use Git + GitHub (Be a Real Dev)
✅ Track your code with Git
✅ Upload projects to GitHub
✅ Write clear README files
✅ Contribute to open source repos

Your GitHub profile = Your online CV. Keep it active!

🔹 𝗦𝘁𝗲𝗽 𝟲: Build a Capstone Project (Level-Up!)
✅ A weather dashboard (API + Flask)
✅ A personal expense tracker
✅ A web scraper that sends email alerts
✅ A basic portfolio website in Python + Flask

Pick something that solves a real problem—bonus if it helps you in daily life!

🎯 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝘆𝘁𝗵𝗼𝗻 = 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝗼𝗹𝘃𝗶𝗻𝗴

You don’t need to memorize code. Understand the logic.
Google is your best friend. Practice is your real teacher.

Python Resources: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a

ENJOY LEARNING 👍👍