Linux for Red Teamers comprehensive Guide pdf.pdf
3 MB
Linux for Red Teamers : comprehensive Guide
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Git vs. GitHub: Quick Comparison π
Git: Version Control π§
What it is: A tool for tracking changes in code. π
Purpose: Manages project history locally on your computer. π»
GitHub: Collaboration Platform π
What it is: A cloud service for hosting Git repositories. βοΈ
Purpose: Allows developers to collaborate on code remotely, share repositories, and track issues. π€
Key Differences π
Git: Local version control tool. π
GitHub: A platform for sharing and collaborating on Git repositories online. π
Why It Matters π‘
Understanding the difference between Git and GitHub is crucial for developers and often tested in technical interviews. π€
Final Thought π
Git = Tool (for version control) βοΈ, GitHub = Service (for collaboration) π. Master both to excel in development and teamwork! πͺ
Git: Version Control π§
What it is: A tool for tracking changes in code. π
Purpose: Manages project history locally on your computer. π»
GitHub: Collaboration Platform π
What it is: A cloud service for hosting Git repositories. βοΈ
Purpose: Allows developers to collaborate on code remotely, share repositories, and track issues. π€
Key Differences π
Git: Local version control tool. π
GitHub: A platform for sharing and collaborating on Git repositories online. π
Why It Matters π‘
Understanding the difference between Git and GitHub is crucial for developers and often tested in technical interviews. π€
Final Thought π
Git = Tool (for version control) βοΈ, GitHub = Service (for collaboration) π. Master both to excel in development and teamwork! πͺ
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awesome-llm-apps-main.zip
465.2 KB
π Awesome LLM Apps π
Explore a curated collection of cutting-edge LLM apps built with RAG and AI agents! This repository showcases innovative applications using models from OpenAI, Anthropic, Google, and open-source models like DeepSeek, Qwen, and Llamaβall runnable on your local machine.
π€ Why Explore Awesome LLM Apps?
Discover creative applications of LLMs across various domains.
Explore powerful integrations with RAG and AI agents.
Learn from well-documented projects and contribute to the expanding open-source ecosystem.
Start building today and see how LLMs can elevate your projects! π‘
Explore a curated collection of cutting-edge LLM apps built with RAG and AI agents! This repository showcases innovative applications using models from OpenAI, Anthropic, Google, and open-source models like DeepSeek, Qwen, and Llamaβall runnable on your local machine.
π€ Why Explore Awesome LLM Apps?
Discover creative applications of LLMs across various domains.
Explore powerful integrations with RAG and AI agents.
Learn from well-documented projects and contribute to the expanding open-source ecosystem.
Start building today and see how LLMs can elevate your projects! π‘
Mastering Problem Solving in DSA PDF.pdf
4.4 MB
Mastering Problem Solving in DSA PDF
Simplest preparation strategy that worked for me. Since I had around three years of experience, I focused on key areas:
1. DSA & Problem Solving
2. Low-Level Design (LLD) & High-Level Design (HLD)
3. Java-based Questions
4. Concurrency & Multithreading
5. Project-related Discussions
6. Work Experience-related Queries
7. Kafka, Spring Boot, and Redis
1. DSA & Problem Solving
2. Low-Level Design (LLD) & High-Level Design (HLD)
3. Java-based Questions
4. Concurrency & Multithreading
5. Project-related Discussions
6. Work Experience-related Queries
7. Kafka, Spring Boot, and Redis
Learn Selenium Automation Testing