CyberSecurity & AI Experts
🔰 Ethical Hacking and Cyber Security Official Telegram Channel 🔰 Free content to learn Hacking & AI For promotions: @coderfun
Показати більше📈 Аналітичний огляд Telegram-каналу CyberSecurity & AI Experts
Канал CyberSecurity & AI Experts (@ethicalhackingtoday) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 44 106 підписників, посідаючи 3 034 місце в категорії Технології та додатки та 8 274 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 44 106 підписників.
За останніми даними від 06 листопада, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 132, а за останні 24 години на -11, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 5.36%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.25% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 2 366 переглядів. Протягом першої доби публікація в середньому набирає 550 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 2.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як git, |--, cybersecurity, linux, attack.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“🔰 Ethical Hacking and Cyber Security Official Telegram Channel
🔰 Free content to learn Hacking & AI
For promotions: @coderfun”
Завдяки високій частоті оновлень (останні дані отримано 07 листопада, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.
Завантажуємо дані
| Дата | Залучення підписників | Згадування | Канали | |
| 07 листопада | +2 | |||
| 06 листопада | +5 | |||
| 05 листопада | +3 | |||
| 04 листопада | +5 | |||
| 03 листопада | +6 | |||
| 02 листопада | +31 | |||
| 01 листопада | +19 |
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| 6 | 🚀 7 Best Resources to Learn About Self-Evolving AI Agents
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Understand how AI agents evolve their models, memory, prompts, and tools.
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Discover different approaches to self-improvement in modern AI agent systems.
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| 9 | Cybersecurity : Top Global Industry Leaders | 1 843 |
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| 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 |
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| 19 | 𝗗𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗪𝗶𝘁𝗵 𝗔𝗜😍
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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 |
