10 Must-Know Graph Algorithms for Coding Interviews:

1. Depth First Search (DFS)
2. Breadth First Search (BFS)
3. Topological Sort
4. Union Find
5. Cycle Detection
6. Connected Components
7. Bipartite Graphs
8. Flood Fill
9. Minimum Spanning Tree
10. Shortest Path

Do you go to stackoverflow in 2025 ? 😊

Python Full course

8+ Hour.

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

በ ግላችሁ computer science/ software engineering / IT ....እና መሰል ፊልዶችን የምትማሩ ይሄ ፕሌይሊስት በደንብ ይጠቅማችኋል።

ስለ ኮርሶቹ ጠቅለል ያለ overview ይሰጣችኋል!

በ ዉስጡ ወደ 11 የሚደርሱ ቪድዮዎች አሉበት፤ እነሱም፡
1. Computer Science
2. Algorithm.
3. Data Structure
4. Programming
5. Computer Architecture
6. Database
7. Computer Networking
8. Software Engineering
9. Operating System
10. Cyber Security
11. Artificial Intelligence...

Enjoy...

Start here : https://www.youtube.com/playlist?list=PLGeDL5FZ9nGbn9R2DvHh47kc9k6nN3j5q

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.

You need to here this.

ይህን ኮርስ ብዙ ሰዎች እንደወደዳችሁት አይቻለሁ።

የ4 ሰዓት የ AI Fluency Master Class ሲሆን ለማንኛውም Non-Tech ሰው ቀለል ተደርጎ የተሰራ ነው ።

በ3 ሳምንታት ውስጥ ከ50 ሺህ በላይ እይታዎች እና ከ10 ሺህ ሰዓታት በላይ ተመልካች አግኝቷል።

ለሁሉም አስተያየቶቻችሁ እና ሀሳቦቻችሁ እናመሰግናለን።

ካላያችሁት ... አሁኑኑ እዩት!... ትጠቀሙበታላችሁ!

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

@ImmersiveAi

2k.

Amazing Ai community.

Thank you for joining us.

i will accept any comment ...

https://news.1rj.ru/str/ImmersiveAi

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.

Everyone who loves:

• Coding
• Programming
• Software Engineering
• Frontend development
• Backend development
• Cloud Computing
• AI

I hope you find this account!

https://news.1rj.ru/str/EmmersiveLearning

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