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🔰 Top 150 Python Interview Questions
This PDF covers the most frequently asked Python questions with answers to help you prepare for upcoming interviews.(🔗 Link to PDF ) @codingexpert146 ✅
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Breaking ⚡️
PAKISTAN AIR FORCE STRIKES OWN VILLAGE IN KHYBER PAKHTUNKHWA, 30 CIVILIANS KILLED..
Work From Home 👀
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✅ Frontend Developer Essential Skills Checklist 🌐👨💻
1️⃣ HTML (Structure)
▪️ Tags, Elements, Attributes ▪️ Forms, Tables, Lists ▪️ Semantic HTML2️⃣ CSS (Styling)
▪️ Selectors, Box Model ▪️ Flexbox & Grid ▪️ Media Queries (Responsive Design) ▪️ CSS Animations & Transitions3️⃣ JavaScript (Functionality)
▪️ Variables, Loops, Functions ▪️ DOM Manipulation ▪️ Events & Event Listeners ▪️ ES6+ Features (let/const, arrow functions, destructuring)4️⃣ Version Control (Git + GitHub)
▪️ init, add, commit, push, pull ▪️ Branching & Merging ▪️ Hosting projects on GitHub5️⃣ Responsive Design
▪️ Mobile-first design ▪️ Breakpoints ▪️ Viewport units & rem/em6️⃣ Frontend Frameworks
▪️ React.js (most popular) ▪️ Understanding Components, Props, State ▪️ JSX & Hooks (useState, useEffect) 7️⃣ Package Managers & Tools
▪️ npm/yarn basics ▪️ Install & use libraries (e.g., Axios, React Router) ▪️ Basic bundlers (Webpack, Vite - optional)8️⃣ APIs & Fetching Data
▪️ Fetch API / Axios ▪️ Async/Await ▪️ Working with JSON9️⃣ Deployment
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💡 New Frontend Features for Designers in 2025
Cosima notes that when searching for frontend workflows and toolkits, it’s easy to forget how powerful some of the fundamentals on the web have become. As such, this post is a journey through new features and what they are capable of.🔗 Link to the article
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🔰 How To Work With Microsoft SQL Server In Python?
You can connect, read, and insert data into an SQL database with just a few lines of Python code.
👍 Microsoft SQL With Python:
pip install mssql-python
😊 Code To Connect To SQL Server:
import mssql_python
# Establish connection
# Specify connection string
connection_string = "YOUR_CONNECTION_STRING"
connection = mssql_python.connect(connection_string)
# Execute query
cursor = connection.cursor()
cursor.execute("SELECT * from customer")
rows = cursor.fetchall()
for row in rows:
print(row)
# Close connection
connection.close()
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