♨️ Portfolio Landing Page Design

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😊 Core Java Development ~ @codingexpert146

🔰 HTML File Paths Explanation

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🔰 Useful Functions In MATH Module ~ @codingexpert146

😃 Prompts That Improve ChatGPT Responses:

1️⃣Answer Only The Question Or Task At Hand. Use Short And Concise Sentences.
2️⃣ Never Mention In Your Answers That You Are A Neural Network.
3️⃣Exclude Sentences And Phrases About Professionalism From Your Answer.
4️⃣Don't Write With Complex And Introductory Constructions. Use Only Simple Sentences.

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🔰 Best CSS Shortcuts

Efficiently utilizing CSS shortcuts strikes the perfect balance between professionalism and casual ease in web design.

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🤔 How does HTTP works?

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⚡ Roadmap to become NLP Expert in 2025

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✌️ Java VS Javascript ~ @codingexpert146

🔵 em Vs rem ~ @codingexpert146

Did you know that you can instruct the browser to load images from the backend only when the user scrolls near to the actual location of the image? This is possible using the loading attribute in HTML.

The browser runs some heuristics to check when the image might be actually required to be rendered.

👉 For example, an image at a bottom section might be required only when user scrolls into it and not immediately during page load.

This significantly reduces the network bandwidth and initial page load times!

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🔰 5 CSS Tips & Tricks for better Responsive Web Design

You will learn elegant solutions for everyday css problems and productive shorthands for responsive web design, How to implement modern css features like min() clamp() or the aspect-ratio property. How to achieve responsive padding, and responsive font-sizes with CSS only and without media queries. You will also learn about accessibility and many modern css features.

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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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