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CyberSecurity & AI Experts

前往频道在 Telegram

🔰 Ethical Hacking and Cyber Security Official Telegram Channel 🔰 Free content to learn Hacking & AI For promotions: @coderfun

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网络: Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert印度8 274技术与应用3 034...

📈 Telegram 频道 CyberSecurity & AI Experts 的分析概览

频道 CyberSecurity & AI Experts (@ethicalhackingtoday) 英语语言赛道中的是活跃参与者。目前社区聚集了 44 106 名订阅者，在 技术与应用 类别中位列第 3 034，并在印度地区排名第 8 274 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 44 106 名订阅者。

根据 06 十一月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 132，过去 24 小时变化为 -11，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 5.36%。内容发布后 24 小时内通常能获得 1.25% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 2 366 次浏览，首日通常累积 550 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 2。
主题关注点： 内容集中在 git, |--, cybersecurity, linux, attack 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“🔰 Ethical Hacking and Cyber Security Official Telegram Channel 🔰 Free content to learn Hacking & AI For promotions: @coderfun”

凭借高频更新（最新数据采集于 07 十一月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。

44 106

订阅者

-1124 小时

+257 天

+13230 天

2 366

帖子浏览量

~ 55024 小时

~ 83648 小时

5.36%

参与率

无数据

每日帖子数

Ads index

正在加载数据

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日期	订阅者增长	提及	频道
07 十一月	+2
06 十一月	+5
05 十一月	+3
04 十一月	+5
03 十一月	+6
02 十一月	+31
01 十一月	+19

频道帖子

✅ 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 💰 Highest Salary: ₹12.6 LPA 📈 Average Salary: ₹5.7 LPA 🏢 500+ Partner Companies 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇 :- https://pdlink.in/45vk5ph 🔥 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 ✅ Work on Practical, Industry-Based Tasks ✅ Learn at Your Own Pace ✅ Build Valuable Professional Skills 🎯 Perfect For:- College Students \| Freshers \| Graduates \| Job Seekers 🔗 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 📈 Average Salary: ₹7.4 LPA 🎓 2,000+ Students Placed 🏢 500+ Hiring Partners 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄 👇 :- 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 🔗 𝗟𝗶𝗻𝗸 :- 👇 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👇 :- https://pdlink.in/4Bw1PL9 ⚡ 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 ✅ 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!	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 ✅ Short Programs — Approximately 4–6 Hours ✅ Practical, Real-World Tasks ✅ Self-Paced & Online ✅ Certificate Opportunities for Your Resume & LinkedIn ✅ No Traditional Interview Process 🔗 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 ✅ Beginner-Friendly Programming Tutorials ✅ Learn Popular & In-Demand Tech Skills ✅ Study at Your Own Pace ✅ Build a Strong Foundation for Coding Interviews 🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 👇:- https://pdlink.in/3WcuMvi ⚡ Your coding journey can start today—completely FREE!	2 303
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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. Here is an amazing resources to learn & practice SQL: https://bit.ly/3FxxKPz Share with credits: https://t.me/sqlspecialist Hope it helps :)	2 502

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