#Rust Programming Language Code Background Rust Text

Rust's ownership and borrowing system can be confusing at first. In this video, @shawn_hymel breaks down the seven fundamental rules that govern how Rust manages memory safely without a garbage collector or runtime overhead. 💻 You'll learn how ownership transfers work, when values are dropped from memory, and how references provide safe access to data without the memory bugs that plague C and C++ programs. #RustProgramming #Embedded #programming >>> Full video in bio <<<

rust 'find multiplication of a given element and elements above that element'

Episode 22 UEFI & the Linux Trust Chain | Chapter 3: ACPI, Memory Maps, and Kernel Assumptions When Linux boots, it doesn’t discover hardware from scratch, it trusts the firmware. Memory maps define what’s usable. ACPI tables describe CPUs, interrupts, and power states. If that data is corrupted or malicious, the kernel builds its world on faulty assumptions. #linux #software #computerscience #cybersecurity #system

1st rust program introduction

Core dumps aren’t always created after a crash. Limits like ulimit -c 0, certain signals, security policies, or filesystem restrictions can prevent them from being written. #linux #software #computerscience #programming #code

Redis: The Speed Demon of Your Tech Stack! 🔥 ​Ever wonder how some apps feel so incredibly fast? Often, the unsung hero behind the scenes is Redis! ​Redis (Remote Dictionary Server) isn't just a database; it's an in-memory data structure store. Think of it as a super-fast, temporary storage space that lives in your computer's RAM, rather than on slower disk drives. ​⚡ Why is Redis so fast and awesome? ​In-Memory: It stores data directly in RAM, allowing for lightning-quick read and write operations – way faster than traditional disk-based databases. ​Data Structures: It supports various data structures like strings, hashes, lists, sets, sorted sets, and more, making it incredibly versatile. ​Key-Value Store: It's fundamentally a key-value store, which is simple, yet powerful. ​💡 Common Use Cases for Redis: ​Caching: This is its most famous role! It stores frequently accessed data, so your app doesn't have to hit the slower main database every time. Hello, snappy UI! ​Session Management: Storing user session data for web applications. ​Real-time Leaderboards: Blazing fast updates for gaming and competitive apps. ​Message Brokers: Enabling real-time communication between different parts of your system. ​Rate Limiting: Controlling how often users can perform certain actions. #growthmindset #reachmorefollowersoninstagram❤️ #virel #viralvideos #software

Rust 'Euler project- spiral primes'

rust 'Euler project- Counting fractions'

Episode 16 — C++ Daemon Memory & CPU Metrics Security Performance metrics aren’t just for optimization, they’re early warning signals for security. In this episode, we break down how memory growth, CPU spikes, and resource patterns in long-running C++ daemons can reveal leaks, denial-of-service abuse, or slow compromise before a crash ever happens. Learn how to treat system metrics as part of your cybersecurity defense, not just monitoring dashboards. #linux #cybersecurity #software #ComputerScience

⏳ The Software Longevity Software longevity shows up years later, not on release day. You go on vacation, come back, run an update, and suddenly dozens of dependencies are outdated, some optional, some mandatory, all risky. At that point, updating feels like pulling a pin, because one move can break everything. Contrast that with systems that age quietly. Being able to open a project years later and trust it will still run isn't nostalgia, it's stability. Longevity isn't about moving fast today. It's about how much fear you feel touching the code tomorrow. #SoftwareLongevity #DependencyManagement #TechDebt #EngineeringReality #Programming #TechInsights #TechCulture #VUnstaged YouTube Video: https://youtu.be/nSjRl1lhJ98?si=YqAaAz1XZrPzD_9b

Episode 25 - Chapter 5: Fuzzing works best when it never stops. The most effective security teams don’t run fuzzers once, they integrate them into CI/CD. Every commit gets tested, crashes become immediate feedback, and sanitizers catch memory issues before they reach production. Continuous fuzzing turns vulnerability discovery into a built-in part of secure software development. #linux #software #computerscience #cybersecurity

Episode 25 Chapter 3: Guided fuzzing is where structure meets execution. Static analysis shows you where the complex logic lives. Coverage-guided fuzzing evolves inputs to reach it. Together, they turn random mutation into strategic exploration uncovering deep state-machine flaws, rare memory corruption, and edge-case vulnerabilities that blind testing would never find. #software #computerscience #cybersecurity