CyberSecurity & AI Experts
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🔰 Ethical Hacking and Cyber Security Official Telegram Channel 🔰 Free content to learn Hacking & AI For promotions: @coderfun
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📈 Análisis del canal de Telegram CyberSecurity & AI Experts
El canal CyberSecurity & AI Experts (@ethicalhackingtoday) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 44 106 suscriptores, ocupando la posición 3 034 en la categoría Tecnologías y Aplicaciones y el puesto 8 274 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 44 106 suscriptores.
Según los últimos datos del 06 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 132, y en las últimas 24 horas de -11, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.36%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.25% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 366 visualizaciones. En el primer día suele acumular 550 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
- Intereses temáticos: El contenido se centra en temas clave como git, |--, cybersecurity, linux, attack.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“🔰 Ethical Hacking and Cyber Security Official Telegram Channel
🔰 Free content to learn Hacking & AI
For promotions: @coderfun”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 07 noviembre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
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| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 07 noviembre | +2 | |||
| 06 noviembre | +5 | |||
| 05 noviembre | +3 | |||
| 04 noviembre | +5 | |||
| 03 noviembre | +6 | |||
| 02 noviembre | +31 | |||
| 01 noviembre | +19 |
Publicaciones del Canal
✅ 7 Mistakes to Avoid in Coding Projects 🚫💻
1️⃣ Skipping Planning & Requirements
– Jumping into code without a clear goal leads to messy, unfocused projects.
2️⃣ Overcomplicating the Project
– Keep it simple. A small, finished project is better than an unfinished big one.
3️⃣ Not Using Version Control (Git)
– Always track changes with Git. It’s a must for real-world development.
4️⃣ Poor Folder Structure & Naming
– Keep files organized and use meaningful variable/function names.
5️⃣ No Documentation or README
– If others (or you later) can’t understand your code, it’s as good as useless.
6️⃣ Hardcoding Everything
– Use configs and keep your code reusable and scalable.
7️⃣ Not Deploying or Showcasing
– Hosting your project (Netlify, GitHub Pages, Vercel) boosts your portfolio.
💬 Double Tap ❤️ for more!
| 2 |  🚀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 📊
Learn Excel, SQL, Python & Power BI Live Online Data Analytics Program
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🔥 Turn your interest in data into practical, job-ready skills! | 608 |
| 3 |  𝗝.𝗣. 𝗠𝗢𝗥𝗚𝗔𝗡 𝗙𝗥𝗘𝗘 𝗩𝗜𝗥𝗧𝗨𝗔𝗟 𝗣𝗥𝗢𝗚𝗥𝗔𝗠𝗦 𝟮𝟬𝟮𝟲! 🎓
Explore J.P. Morgan's FREE Virtual Job Simulation Programs
✅ 100% FREE Virtual Learning
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🔗 𝗟𝗶𝗻𝗸 👇:-
https://pdlink.in/3X8KJmE
⚡ Learn New Skills • Gain Practical Exposure • Boost Your Career! | 735 |
| 4 |  𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗚𝗲𝗻𝗔𝗜 - 𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 😍
💰 Highest Salary: ₹41 LPA
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https://pdlink.in/3SuUeuD
🔥 Take the first step towards your high-paying tech career in 2026! | 867 |
| 5 |  𝗕𝗘𝗦𝗧 𝗙𝗥𝗘𝗘 𝗣𝗬𝗧𝗛𝗢𝗡 𝗖𝗘𝗥𝗧𝗜𝗙𝗜𝗖𝗔𝗧𝗜𝗢𝗡𝗦 𝗜𝗡 𝟮𝟬𝟮𝟲! 🎓
Discover some of the best FREE Python learning and certification opportunities
✅ Free Python Learning Resources
✅ Beginner-Friendly Courses
✅ Practical Programming Knowledge
✅ Explore Available Certificates & Badges
✅ Strengthen Your Resume & LinkedIn Profile
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https://pdlink.in/4iVDpmN
📌 SAVE this post & SHARE with friends preparing for tech careers! 🔥 | 1 051 |
| 6 | 🚀 7 Best Resources to Learn About Self-Evolving AI Agents
1. Hugging Face Agents Course
Learn AI agent fundamentals, tool use, reasoning, and agent frameworks.
🔗 https://huggingface.co/learn/agents-course
2. Stanford CS329A: Self-Improving AI Agents
Explore academic lectures and research on how AI agents can improve themselves.
🔗 https://cs329a.stanford.edu/
3. A Comprehensive Survey of Self-Evolving AI Agents
Understand how AI agents evolve their models, memory, prompts, and tools.
🔗 https://arxiv.org/abs/2508.07407
4. Self-Improvements in Modern Agentic Systems: A Survey
Discover different approaches to self-improvement in modern AI agent systems.
🔗 https://arxiv.org/abs/2607.13104
5. Awesome Self-Improving Modern Agentic Systems
Explore a curated collection of research papers, benchmarks, tools, and projects.
🔗 https://github.com/selfimproving-agent/Awesome-Self-Improving-Agents
6. Awesome RSI (Recursive Self-Improvement)
Explore research on recursive self-improvement, AI research automation, and safety.
🔗 https://github.com/lobehub/awesome-rsi
7. Awesome Harness Engineering for Self-Improvement
Learn how tools, memory, evaluation, and control loops help AI agents improve.
🔗 https://github.com/leezythu/Awesome-Harness-Self-Improvement
📌 Save this list if you're interested in building smarter, self-improving AI agents!
❤️ Follow AIJobs for more AI drops | 1 812 |
| 7 |  𝗔𝗜 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 | 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍
AI is changing the way we learn and work. Ready to take your first step?
- Learn the Skills, Hiring Trends, and Preparation Strategies That Matter
🎓 Students | 💼 Working Professionals | 💡 AI Enthusiasts
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
https://pdlink.in/4BAxISK
Date:- 31st October 2026 Time:- 5:00 PM (IST)
💫Share this opportunity with your friends and classmates. | 1 799 |
| 8 |  𝗧𝗢𝗣 𝟱 𝗙𝗥𝗘𝗘 𝗧𝗘𝗖𝗛 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝗜 𝗪𝗜𝗦𝗛 𝗜 𝗛𝗔𝗗 𝗧𝗔𝗞𝗘𝗡 𝗦𝗢𝗢𝗡𝗘𝗥! 💻🎓
Discover 5 FREE tech courses to kick-start your learning journey and strengthen your resume. 🚀
✅ Learn Valuable Technical Skills
✅ Beginner-Friendly Learning Resources
✅ Build Practical Knowledge
✅ Strengthen Your Resume & Portfolio
✅ Prepare for Tech Career Opportunities
💡 The best investment you can make in 2026 is upgrading your skills!
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
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⚡ Start learning today. Your future self will thank you! | 2 024 |
| 9 |  Cybersecurity : Top Global Industry Leaders | 1 843 |
| 10 |  𝗠𝗔𝗦𝗧𝗘𝗥 𝗦𝗤𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 𝗜𝗡 𝟮𝟬𝟮𝟲 📊
🔥 Essential Skill for Data Analytics
🔥 Useful for Data Science & Backend Development
🔥 Practice Real-World Database Queries
🔥 Strengthen Your Technical Interview Skills
🎯 Perfect For:- Students | Freshers | Job Seekers | Working Professionals
🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗔𝗟𝗟 𝟱 𝗙𝗥𝗘𝗘 𝗦𝗤𝗟 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 👇:-
https://pdlink.in/4yOlWlh
📌 SAVE this post & SHARE it with friends preparing for tech careers! | 2 300 |
| 11 |  🚀𝗠𝗔𝗦𝗧𝗘𝗥 𝗘𝗫𝗖𝗘𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 𝗜𝗡 𝟮𝟬𝟮𝟲! 📊
Discover 4 FREE Websites to learn Microsoft Excel from beginner to advanced level! 🎓
🔥 FREE Learning Resources
🔥 Beginner to Advanced Tutorials
🔥 Practical Examples & Exercises
🔥 Learn Anytime, Anywhere
🔗 𝗟𝗶𝗻𝗸👇:-
https://pdlink.in/4jDfcCP
⚡ One powerful skill can open doors to multiple career opportunities! | 2 804 |
| 12 |  𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 📊
Build a strong foundation in Data Science .Explore Machine Learning and Deep Learning
Eligibility :- Students • Freshers • Working Professionals
📅 Date:- 23 October 2026
⏰ Time:- 7:00 PM–9:00 PM IST
💻 Mode:- Online
🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
https://pdlink.in/4i8MKGn
📢 Share this opportunity with your friends and classmates. | 2 970 |
| 13 |  𝗠𝗜𝗖𝗥𝗢𝗦𝗢𝗙𝗧 𝗙𝗥𝗘𝗘 𝗗𝗔𝗧𝗔 𝗦𝗖𝗜𝗘𝗡𝗖𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓
Microsoft offers valuable FREE learning resources to help you develop in-demand technical skills! 💻
✅ 100% FREE Learning Resources
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✅ Self-Paced Learning
✅ Practical Skills for Real-World Projects
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🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 👇:-
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⚡ Your Data Science journey can start today — completely FREE! | 2 584 |
| 14 |  𝗠𝗜𝗖𝗥𝗢𝗦𝗢𝗙𝗧 𝗙𝗥𝗘𝗘 𝗗𝗔𝗧𝗔 𝗦𝗖𝗜𝗘𝗡𝗖𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓
Microsoft offers valuable FREE learning resources to help you develop in-demand technical skills! 💻
✅ 100% FREE Learning Resources
✅ Beginner-Friendly Tutorials
✅ Self-Paced Learning
✅ Practical Skills for Real-World Projects
✅ Useful for Data Analytics & Data Science Career Preparation
🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 👇:-
https://pdlink.in/4k6ylNq
⚡ Your Data Science journey can start today — completely FREE! | 1 |
| 15 | GitHub is a web-based platform used for version control and collaboration, allowing developers to manage and store their code in repositories. Here’s a brief overview of its key features and how to get started:
▎Key Features of GitHub
1. Version Control: GitHub uses Git, a version control system that tracks changes in your code, allowing you to revert to previous versions if needed.
2. Repositories: A repository (or repo) is where your project lives. It can contain files, folders, images, and the entire history of your project.
3. Branches: Branching allows you to work on different versions of a project simultaneously. The default branch is usually called main or master.
4. Pull Requests: A pull request (PR) is a way to propose changes to a repository. You can discuss and review changes before merging them into the main codebase.
5. Issues: GitHub provides an issue tracker that allows you to manage bugs, feature requests, and other tasks related to your project.
6. Collaboration: You can invite other developers to collaborate on your projects, making it easy to work in teams.
7. GitHub Actions: This feature allows you to automate workflows directly in your GitHub repository, such as continuous integration and deployment (CI/CD).
8. GitHub Pages: You can host static websites directly from your GitHub repositories.
▎Getting Started with GitHub
1. Create an Account: Sign up for a free account at GitHub.com.
2. Install Git: If you haven’t already, install Git on your machine. This allows you to interact with GitHub from the command line.
3. Create a New Repository:
– Click the "+" icon in the top right corner and select "New repository."
– Fill in the repository name, description, and choose whether it will be public or private.
– Initialize with a README if desired.
4. Clone the Repository:
– Use the command git clone <repository-url> to clone it to your local machine.
5. Make Changes Locally:
– Navigate to the cloned directory and make changes to your files.
6. Stage and Commit Changes:
– Use git add . to stage changes.
– Use git commit -m "Your commit message" to commit your changes.
7. Push Changes to GitHub:
– Use git push origin main (or the name of your branch) to push your changes back to GitHub.
8. Create a Pull Request:
– Go to your repository on GitHub.
– Click on "Pull requests" and then "New pull request" to propose merging changes from one branch into another.
9. Collaborate:
– Invite collaborators by going to the "Settings" tab of your repository and adding their GitHub usernames under "Manage access."
▎Useful Commands
• git status: Check the status of your repository.
• git log: View commit history.
• git branch: List branches in your repository.
• git checkout <branch-name>: Switch to a different branch.
• git merge <branch-name>: Merge changes from one branch into another.
▎Resources for Learning GitHub
• GitHub Learning Lab
• Pro Git Book
• GitHub Docs
▎Conclusion
GitHub is an essential tool for modern software development, enabling collaboration and efficient version control. Whether you're working solo or as part of a team, mastering GitHub will significantly enhance your workflow and project management skills. | 2 492 |
| 16 |  𝗧𝗔𝗧𝗔 𝗙𝗥𝗘𝗘 𝗠𝗜𝗖𝗥𝗢-𝗜𝗡𝗧𝗘𝗥𝗡𝗦𝗛𝗜𝗣𝗦 𝟮𝟬𝟮𝟲! 🎓
✅ 100% FREE Learning Experience
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🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗧𝗔𝗧𝗔 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼-𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀👇:-
https://pdlink.in/4yWgaPn
⚡ Don't wait for your first job to start gaining practical experience! | 2 096 |
| 17 |  𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍
✅ 100% FREE YouTube Learning
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✅ Study at Your Own Pace
✅ Build a Strong Foundation for Coding Interviews
🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 👇:-
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⚡ Your coding journey can start today—completely FREE! | 2 303 |
| 18 |  𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗧𝗘𝗖𝗛 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓
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| 20 | Quick recap of essential SQL basics 😄👇
SQL is a domain-specific language used for managing and querying relational databases. It's crucial for interacting with databases, retrieving, storing, updating, and deleting data. Here are some fundamental SQL concepts:
1. Database
- A database is a structured collection of data. It's organized into tables, and SQL is used to manage these tables.
2. Table
- Tables are the core of a database. They consist of rows and columns, and each row represents a record, while each column represents a data attribute.
3. Query
- A query is a request for data from a database. SQL queries are used to retrieve information from tables. The SELECT statement is commonly used for this purpose.
4. Data Types
- SQL supports various data types (e.g., INTEGER, TEXT, DATE) to specify the kind of data that can be stored in a column.
5. Primary Key
- A primary key is a unique identifier for each row in a table. It ensures that each row is distinct and can be used to establish relationships between tables.
6. Foreign Key
- A foreign key is a column in one table that links to the primary key in another table. It creates relationships between tables in a database.
7. CRUD Operations
- SQL provides four primary operations for data manipulation:
- Create (INSERT) - Add new records to a table.
- Read (SELECT) - Retrieve data from one or more tables.
- Update (UPDATE) - Modify existing data.
- Delete (DELETE) - Remove records from a table.
8. WHERE Clause
- The WHERE clause is used in SELECT, UPDATE, and DELETE statements to filter and conditionally manipulate data.
9. JOIN
- JOIN operations are used to combine data from two or more tables based on a related column. Common types include INNER JOIN, LEFT JOIN, and RIGHT JOIN.
10. Index
- An index is a database structure that improves the speed of data retrieval operations. It's created on one or more columns in a table.
11. Aggregate Functions
- SQL provides functions like SUM, AVG, COUNT, MAX, and MIN for performing calculations on groups of data.
12. Transactions
- Transactions are sequences of one or more SQL statements treated as a single unit. They ensure data consistency by either applying all changes or none.
13. Normalization
- Normalization is the process of organizing data in a database to minimize data redundancy and improve data integrity.
14. Constraints
- Constraints (e.g., NOT NULL, UNIQUE, CHECK) are rules that define what data is allowed in a table, ensuring data quality and consistency.
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