7 must-know runtime complexities for coding interviews:

7 must-know runtime complexities for coding interviews:

1. 𝐎(1) - 𝐂𝐨𝐧𝐬𝐭𝐚𝐧𝐭 𝐭𝐢𝐦𝐞
- The runtime doesn't change regardless of the input size.
- Example: Accessing an element in an array by its index.

2. 𝐎(𝐥𝐨𝐠 𝐧) - 𝐋𝐨𝐠𝐚𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐭𝐢𝐦𝐞
- The runtime grows slowly as the input size increases. Typically seen in algorithms that divide the problem in half with each step.
- Example: Binary search in a sorted array.

3. 𝐎(𝐧) - 𝐋𝐢𝐧𝐞𝐚𝐫 𝐭𝐢𝐦𝐞
- The runtime grows linearly with the input size.
- Example: Finding an element in an array by iterating through each element.

4. 𝐎(𝐧 𝐥𝐨𝐠 𝐧) - 𝐋𝐢𝐧𝐞𝐚𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐭𝐢𝐦𝐞
- The runtime grows slightly faster than linear time. It involves a logarithmic number of operations for each element in the input.
- Example: Sorting an array using quick sort or merge sort.

5. 𝐎(𝐧^2) - 𝐐𝐮𝐚𝐝𝐫𝐚𝐭𝐢𝐜 𝐭𝐢𝐦𝐞
- The runtime grows proportionally to the square of the input size.
- Example: Bubble sort algorithm which compares and potentially swaps every pair of elements.

6. 𝐎(2^𝐧) - 𝐄𝐱𝐩𝐨𝐧𝐞𝐧𝐭𝐢𝐚𝐥 𝐭𝐢𝐦𝐞
- The runtime doubles with each addition to the input. These algorithms become impractical for larger input sizes.
- Example: Generating all subsets of a set.

7. 𝐎(𝐧!) - 𝐅𝐚𝐜𝐭𝐨𝐫𝐢𝐚𝐥 𝐭𝐢𝐦𝐞
- Runtime is proportional to the factorial of the input size.
- Example: Generating all permutations of a set.

DevOps in 10 brutal steps.

🖥 Learn Linux Basics
🧰 Master CLI Tools
📦 Understand Package Managers
🐳 Learn Docker
☸️ Dive into Kubernetes
🛠 Set Up CI/CD
🔐 Manage Secrets & Env Vars
📡 Monitor Logs & Metrics
🛡 Apply Security Best Practices
☁️ Master Cloud Platforms

Learn to Code to have a programmer's eye.

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ሊንኩ : http://www.youtube.com/watch?v=JFOstdBnnrw

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40 JavaScript libraries you should know about.

☸ React JS → User Interfaces

👌🏻 Three JS → 3D on the Web

⏳ Date.js → Time & Date

📊 D3 JS → Data Visualization

🎞 Anime JS → Animation library

📱 React Native → Mobile Applications

👨🏻‍💻 TensorFlow.js → Machine learning

🚀 Next.js → Server-side rendering and static site generation

🌐 Node.js → Backend development

📄 Express.js → Web application framework for Node.js

🔍 Lodash → Utility library for simplifying JavaScript

🖼 Chart.js → Simple and responsive charts

🎨 GSAP (GreenSock Animation Platform) → High-performance animations

📦 pnpm → Package manager for JavaScript

🔐 Passport.js → Authentication middleware for Node.js

📚 Storybook → UI component development and documentation

🧪 Jest → Testing framework for JavaScript

🔄 Redux → State management for React applications

🌊 Vue.js → Progressive JavaScript framework for building UIs

🔥 Svelte → Compiler-based framework for building efficient UIs

🛡 TypeScript → Typed superset of JavaScript for scalable applications

📄 Marked.js → Markdown parser and compiler

📑 Quill.js → Rich text editor

📂 FilePond → File upload library with previews and editing

🌍 Leaflet.js → Interactive maps

📹 Video.js → HTML5 video player framework

🎧 Howler.js → Audio library for the web

📨 Axios → Promise-based HTTP client

🔄 RxJS → Reactive programming with observables

📜 Prism.js → Syntax highlighting for code blocks

📊 Chartist.js → Simple responsive charts

🖌 Fabric.js → Canvas library for interactive graphics

📐 MathJax → Displaying mathematical notation in browsers

📦 Parcel → Blazing-fast, zero-configuration web application bundler

🛠 Rollup → Module bundler for JavaScript libraries

📄 Puppeteer → Headless browser automation

📊 Plotly.js → Advanced data visualization and charting

📄 PDF.js → PDF viewer and parser in the browser

📦 Vite → Next-generation frontend tooling

📄 Swiper.js → Modern touch slider and carousel

📄 Hammer.js → Gesture recognition for touch interactions

📄 Popper.js → Tooltip and popover positioning

📄 Tippy.js → Tooltip and popover library

This is the way.

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• Coding
• Programming
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• Frontend development
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OpenAi Introduces study mode in ChatGPT — step by step guidance for students rather than quick answers:

THE SOVEREIGN'S MINDSET 😊

while consciousness_active:  
    self.perception = "Creator"  
    self.value = Infinite()  
    obstacles = fuel_for_greatness  
    external_validation = None

If you don't understand, Learn Python at 😊 :

https://youtu.be/VZKNq5xHP-4?si=G2mn91vJPpV-USlD

Ai will be 10x bigger than the industrail revolutions.