Coding interview preparation
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🧿  ReactJS Cheat-Sheet

This Post includes a ReactJs cheat sheet to make it easy for our followers to work with Reactjs.
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πŸš€ PERFORMANCE TUNING: Boost Your System Like a Pro! ⚑️

Is your application slow? Facing database bottlenecks? Or maybe network issues? Performance tuning is the key! Here’s a breakdown of essential optimization areas to supercharge your system:

πŸ”Ή Code Tuning πŸ–₯
Optimize your code by managing CPU, memory, and other resources efficiently. A few tweaks can make a BIG difference!

πŸ”Ή Infrastructure Tuning πŸ—
Benchmark, scale, and optimize storage to ensure your hardware and cloud infrastructure are performing at their best.

πŸ”Ή Architecture Tuning ☁️
Implement caching, loose coupling, and asynchronous processing for a seamless and scalable system.

πŸ”Ή Configuration Tuning βš™οΈ
Fine-tune your app's settings for maximum efficiencyβ€”master configuration tuning is crucial!

πŸ”Ή Network Tuning 🌐
Reduce latency, optimize traffic flow, and secure your network with firewall & DNS adjustments.

πŸ”Ή Database Tuning πŸ—„
Optimize queries, indexes, and partitions to speed up data retrieval and improve overall DB performance.
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Full Course OOP Using Java.pdf
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βœ… Full course OOP using JAVA
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sql queries.pdf
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SQL, ALL QUERIES
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Git & Github interviews Q & A.pdf
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πŸ“Œ GIT & GITHUB INTERVIEWS (Questions and Answers)
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Java Notes_ (1).pdf
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πŸ“Œ JAVA Notes
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XML_JSON_Programming,_For_Beginners,_Learn_Coding.epub
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πŸ“Œ XML JSON Programming For Beginners
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git-cheat-sheet-education.pdf
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πŸ“Œ GIT Cheatsheet Education
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git-cheat-sheet.pdf
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πŸ“Œ GIT CHEAT SHEET
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Coding Interview Preparation.pdf
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πŸ“Œ Coding interview Preparation
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keyboard-shortcuts-windows.pdf
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πŸ‘Œ Shortcuts for WINDOWS KEYBOARD
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top-50-html-interview-questions.pdf
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Top 50 HTML INTERVIEW QUESTIONS πŸ”₯πŸ”₯πŸ”₯
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JavaScript Notes πŸ”₯.pdf
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✍ NOTES ON JAVASCRIPT
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Machine Learning Interview Questions.pdf.pdf
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πŸ“Œ MACHINE LEARNING INTERVIEW QUESTIONS
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Data Analyst Interview Questions.pdf
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πŸ“Œ DATA ANALYST INTERVIEW QUESTIONS
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πŸ“Œ Python Clean Codes
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0802-python-tutorial.pdf
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πŸ“Œ PYTHON TUTORIALS
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html content.pdf
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✍ Learn HTML ...
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Here are 10 popular programming languages based on versatile, widely-used, and in-demand languages:

1. Python – Ideal for beginners and professionals; used in web development, data analysis, AI, and more.

2. Java – A classic language for building enterprise applications, Android apps, and large-scale systems.

3. C – The foundation for many other languages; great for understanding low-level programming concepts.

4. C++ – Popular for game development, competitive programming, and performance-critical applications.

5. C# – Widely used for Windows applications, game development (Unity), and enterprise software.

6. Go (Golang) – A modern language designed for performance and scalability, popular in cloud services.

7. Rust – Known for its safety and performance, ideal for system-level programming.

8. Kotlin – The preferred language for Android development with modern features.

9. Swift – Used for developing iOS and macOS applications with simplicity and power.

10. PHP – A staple for web development, powering many websites and applications
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