Darius Nica’s Post

The November TIOBE Index brings one of the biggest shifts in years. Python remains on top, but the spotlight has moved to the tightening battle between Java and C#. For the first time, C# is outpacing Java’s growth, powered by Microsoft’s momentum, modern language features, and cross-platform reach. Java still dominates enterprise systems, yet its long-held advantage is slipping fast. With less than 1% between the two, we may be witnessing a historic change in the rankings - one that could redefine the programming landscape in 2025. #ProgrammingTrends #SoftwareDevelopment #Python #CSharp #Java #TechIndustry #DevelopersCommunity #Innovation #Technology

🤔 Python or Java for your next backend project in 2025? The debate rages on, but which one aligns with your goals—rapid prototyping with Python's simplicity or Java's rock-solid enterprise scalability? In our latest blog, we break it down: From syntax showdowns (Python's 3 lines vs. Java's 10) and performance edges (Java's JIT speed for high-traffic apps) to real-world wins like Netflix's AI magic with Python and LinkedIn's billion-user backbone in Java. Discover strengths, drawbacks, use cases, and when to pick each to future-proof your tech stack. Dive in: https://lnkd.in/dcqu87jS Python fan or Java loyalist? Drop your pick and why below! 👇 #PythonVsJava #BackendDevelopment #ProgrammingLanguages #TechTrends #SoftwareEngineering

🪤 Ratifact — Track, clean, and manage build outputs across languages. 🧹 Scan projects, view artifacts, auto-clean old builds & trigger rebuilds. ⚙️ Supports Rust, JS, Python, Go, C/C++, Java & more. 🦀 Written in Rust & built with Ratatui ⭐ GitHub: https://lnkd.in/d8GVPE5Z #rustlang #ratatui #tui #artifacts #devtools #buildsystem #terminal

Day 9 – Fibonacci Series: Find the Nth Term (Java & Python) 💡 Problem: Given an integer n, return the Nth term of the Fibonacci sequence — where: F(0) = 0, F(1) = 1, and F(n) = F(n − 1) + F(n − 2). Examples: Input → n = 6 → Output → 8 Input → n = 10 → Output → 55 🧠 Common Approaches: 🔹 Recursive – Elegant but exponential time (O(2ⁿ)) 🔹 Iterative – Much faster (O(n)) 🔹 Mathematical Formula (Binet’s Formula) – Constant time O(1) using φ ≈ 1.618 We’ll use an efficient iterative approach. Time Complexity: O(n) Space Complexity: O(1) Your Turn: Would you implement this recursively, iteratively, or using matrix exponentiation? Comment your version below 👇 #CodeWithTanseer #DSA #Java #Python #CodingChallenge #ProblemSolving #Numbers #Fibonacci #MathInCode #SoftwareEngineer #BackendDeveloper #InterviewPrep #LogicalThinking

🚀 Quick Experiment: Comparing Lines of Code Across Languages I recently did a small personal experiment to compare how many lines of code (LOC) are typically required to implement the same task in Python, Java, and C++. 📌 Assumption: Each new statement appears on its own line — no one-liners or compressed logic. Here are the results: 🐍 Python: 11 LOC ☕ Java: 36 LOC 💻 C++: 44 LOC Key Takeaways Python is very concise for implementing tasks. Java requires more structure and verbosity. C++ is the most verbose among the three. 💡 Note: This experiment considers Lines of Code only, not execution speed or efficiency. I’d love to hear your thoughts: Do you value code compactness over verbosity for readability and maintenance? Hashtags #Programming #Python #Java #CPlusPlus #CodeEfficiency #SoftwareDevelopment #CodingExperiment #DeveloperInsights #TechLearning #ProgrammingTips

Some languages did not get the class implementations right. In Rust and Python, you need to access class/struct fields through "self". In Go language, you usually access struct fields using a single letter variable like "s" for Server struct. All this is unnecessary, you should be able to access class/struct fields like you would access local variables. This is how it is done in Java and C++. Cluttering the class/struct code with "self" makes the code less readable.

I think programming languages fall into 3 big categories. 🐍 Flexible scripters: Loosely typed, perfect for scripting and quick prototypes. Python is my go to language here. 🏭Enterprise enablers: Compiled, (usually) object-oriented, Virtual Machine-based (VM) and Garbage Collected (GC) like Java & C#. I think this category deserves Go. ⚡ Bare-Metal performers: Compiled, no GC and control over memory. Ill take Rust over C/C++ for its safety and modern tooling. All different tools with the same goal: solving problems. What is your favorite category to work in? #Programming #Python #GoLang #RustLang #SoftwareDevelopment #HookPrograms

How you delete useless billion dollar companies and save planet earth by increasing energy efficiency? One open source project at a time. Next up is a specialized debugger and self-hosting compiler that reaches deep into the tentacles of legacy C and Python and SMACKS IT...into #rust. Likely the final tool of the year will be Leon The Professional (LTP) and it will simply convert a repo with ANY C or Python to Rust.... https://lnkd.in/efJiuCCC

JSON vs TOML — Which One Should You Choose? Both are popular configuration and data serialization formats, but they serve slightly different purposes JSON (JavaScript Object Notation): 1. Best for APIs and data exchange between systems. 2. Simple, lightweight, and supported almost everywhere. 3. Lacks comments (which can make configs harder to explain). TOML (Tom’s Obvious Minimal Language) 1. Built for configuration files — clean, human-readable, and organized. 2. Supports comments, arrays, and tables natively. 3. Increasingly used in tools like Python’s pyproject.toml and Rust’s Cargo. Rule of Thumb: Use JSON for data interchange. Use TOML for configuration management. #Python #Developers #JSON #TOML #Programming #DataEngineering #SoftwareDevelopment #OpenSource

How to work with databases 𝐬𝐦𝐨𝐨𝐭𝐡𝐥𝐲 in Python? 🐍 Use 𝐒𝐐𝐋𝐀𝐥𝐜𝐡𝐞𝐦𝐲 — easily create tables, insert, update, or query data directly from your code 💡 Use 𝐀𝐥𝐞𝐦𝐛𝐢𝐜 — safely change your database structure over time. No risky manual edits, just clean migrations. It's kinda git for DB. Just necessary to add migrations step into your CI/CD ⚙️ Started using them heavily in my recent project at work. 💻 If you’re building backend services with FastAPI or any modern stack — these two are 𝐦𝐮𝐬𝐭-𝐡𝐚𝐯𝐞𝐬. 🚀 #database #in #python