CyberSecurity & AI Experts

✅ 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!

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🚀 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

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Cybersecurity : Top Global Industry Leaders

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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.

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𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗧𝗘𝗖𝗛 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓 Explore IBM Cognitive Class and build in-demand tech skills without spending money on course fees! 📚 𝗧𝗼𝗽 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗘𝘅𝗽𝗹𝗼𝗿𝗲:- 💫 Artificial Intelligence & Machine Learning 🔥Python for Data Science 📊 Data Science Fundamentals ☁️ Cloud Computing & Big Data 🔗 𝗦𝘁𝗮𝗿𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗛𝗲𝗿𝗲 👇 https://pdlink.in/4zGswuX 📲 Save & Share with friends preparing for tech careers! 🔥

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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 :)