NexTechTide

 Python. The language that feels like cheating. If Rust is like wielding a precision-crafted, safety-focused katana, Python is like waving a magic wand. You think about a solution, type it almost like plain English, and it just works. And that’s exactly why so many developers choose it as their go-to language for coding interviews. Let’s be real: Python is engineered for rapid prototyping and elegant expressiveness. You don’t need to wrestle with memory management, type declarations, or compilation. Instead, you write clean, readable code at lightning speed — and then you get to focus on the actual problem instead of fighting your tools. This guide is for those of you who know Python is your best bet for coding interviews. It’s not about learning Python itself. It’s about using the right features, libraries, and idioms to breeze through LeetCode problems and algorithmic challenges. If you’re the kind of developer who believes the perfect solution should feel effortless , then yo...

 Why Rust? (No, Seriously, Why?)      Choosing Rust as your language for a coding interview is, at best, bold — and at worst, borderline reckless. Rust is not known for being ergonomic under time pressure. Unlike Python or Java, it doesn’t hold your hand when you’re fumbling through edge cases and messy input. The compiler is famously strict, and while that’s great for production code, it can feel like an enemy in a 45-minute interview. Forget about “just trying something” — Rust will make you justify every move. Want to mutate a value inside a loop? Better understand borrowing rules. Need a linked list? Be ready to bring in Rc , RefCell , and a prayer. Want to pass a slice around without cloning everything? Ownership will make you earn it. Many LeetCode problems assume a fast, flexible language — Rust is neither of those, out of the box. There’s no REPL. You can’t “just print stuff” — not without fighting the borrow checker and formatting macros. Even simple operati...

  For years, I lived a dual Linux life: Fedora at home, Ubuntu at work. Fedora’s fast pace, latest kernel, fresh software, and modern tooling made it feel sleek and empowering. Ubuntu, meanwhile, was more utilitarian—a steady workhorse maintained by company IT, with long-term support (LTS) releases and fewer updates overall. But over time, I began to wonder: was Fedora's bleeding-edge approach really giving me more power, or was it just creating more chores? After voicing these thoughts in the Fedora and Ubuntu subreddits and sifting through hundreds of thoughtful replies, I uncovered some critical insights about what it means to run a cutting-edge Linux distro day to day. This post isn't about Fedora vs Ubuntu, or even about which distro is better. It's about the often invisible tradeoffs of living on the edge. Update Frequency: Freedom vs. Fatigue Fedora users proudly point to its freshness: new kernels arrive within weeks, and updates to GNOME, Mesa, GCC, and other ...