CyberSecurity & AI Experts
الذهاب إلى القناة على Telegram
🔰 Ethical Hacking and Cyber Security Official Telegram Channel 🔰 Free content to learn Hacking & AI For promotions: @coderfun
إظهار المزيد
📈 نظرة تحليلية على قناة تيليجرام CyberSecurity & AI Experts
تُعد قناة CyberSecurity & AI Experts (@ethicalhackingtoday) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 44 106 مشتركاً، محتلاً المرتبة 3 034 في فئة التكنولوجيات والتطبيقات والمرتبة 8 274 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 44 106 مشتركاً.
بحسب آخر البيانات بتاريخ 06 نوفمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 132، وفي آخر 24 ساعة بمقدار -11، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 5.36%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.25% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 2 366 مشاهدة. وخلال اليوم الأول يجمع عادةً 550 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 2.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل git, |--, cybersecurity, linux, attack.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“🔰 Ethical Hacking and Cyber Security Official Telegram Channel
🔰 Free content to learn Hacking & AI
For promotions: @coderfun”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 07 نوفمبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
44 106
المشتركون
-1124 ساعات
+257 أيام
+13230 أيام
جارٍ تحميل البيانات
القنوات المماثلة
79.4K
77.7K
74.3K
70.4K
51.9K
1
سحابة العلامات
الإشارات الواردة والصادرة
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| التاريخ | نمو المشتركين | الإشارات | القنوات | |
| 07 نوفمبر | +2 | |||
| 06 نوفمبر | +5 | |||
| 05 نوفمبر | +3 | |||
| 04 نوفمبر | +5 | |||
| 03 نوفمبر | +6 | |||
| 02 نوفمبر | +31 | |||
| 01 نوفمبر | +19 |
منشورات القناة
✅ 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 📊
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| 5 |  𝗕𝗘𝗦𝗧 𝗙𝗥𝗘𝗘 𝗣𝗬𝗧𝗛𝗢𝗡 𝗖𝗘𝗥𝗧𝗜𝗙𝗜𝗖𝗔𝗧𝗜𝗢𝗡𝗦 𝗜𝗡 𝟮𝟬𝟮𝟲! 🎓
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| 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
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| 7 |  𝗔𝗜 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 | 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍
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| 8 |  𝗧𝗢𝗣 𝟱 𝗙𝗥𝗘𝗘 𝗧𝗘𝗖𝗛 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝗜 𝗪𝗜𝗦𝗛 𝗜 𝗛𝗔𝗗 𝗧𝗔𝗞𝗘𝗡 𝗦𝗢𝗢𝗡𝗘𝗥! 💻🎓
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| 9 |  Cybersecurity : Top Global Industry Leaders | 1 843 |
| 10 |  𝗠𝗔𝗦𝗧𝗘𝗥 𝗦𝗤𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 𝗜𝗡 𝟮𝟬𝟮𝟲 📊
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| 13 |  𝗠𝗜𝗖𝗥𝗢𝗦𝗢𝗙𝗧 𝗙𝗥𝗘𝗘 𝗗𝗔𝗧𝗔 𝗦𝗖𝗜𝗘𝗡𝗖𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓
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| 14 |  𝗠𝗜𝗖𝗥𝗢𝗦𝗢𝗙𝗧 𝗙𝗥𝗘𝗘 𝗗𝗔𝗧𝗔 𝗦𝗖𝗜𝗘𝗡𝗖𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓
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⚡ 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! 🎓
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| 17 |  𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍
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| 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.
Here is an amazing resources to learn & practice SQL: https://bit.ly/3FxxKPz
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Hope it helps :) | 2 502 |
