Expert Programming Language Support for Your Project

In 2026, programming languages are evolving rapidly! 🌐 From Python's versatility in data science to JavaScript's dominance in web development, each language has unique applications. What languages are you using, and how are they shaping your projects? Let's discuss! #ProgrammingTrends

Can you believe it has been 3+ years since this tweet? And it has aged like a fine wine. When we just started prompting, you still had to wire a bunch of code together using Python or JavaScript to get anything real done. Now? A lot of the agents I use are driven by basic Markdown: - agent instructions - memory - skills English didn’t replace programming languages. It became the interface for the underlying abstractions, which are still defined in code. Just like many other programming languages end up compiling to something lower level.

🧠 One If-Else Question That Exposes Your Logic Skills Looks simple… but most developers get it wrong. Can you predict the output without running it? 👀 Test your fundamentals — because logic > syntax. #JavaScript #Angular #Programming #CodingChallenge #Developers #LogicBuilding #100DaysOfCode

🚀 Programming Languages as Tools — My Perspective! Each programming language feels like a different tool in a developer’s toolkit 🧰 🔹 C – Simple but needs precision 🔪 🔹 Java – Reliable and well-structured 🔧 🔹 JavaScript – Flexible but sometimes unpredictable ✂️ 🔹 C++ – Complex yet extremely powerful 🧩 🔹 Python – Simple + Powerful = 💥 (The ultimate power tool!) 💡 For me, Python stands out — easy to learn, versatile, and insanely powerful for everything from web development to AI 🤖 Every language has its purpose, but choosing the right one makes all the difference! #Programming #Python #Java #JavaScript #CodingLife #Developers #Tech #Learning #AI #SoftwareDevelopment

7 Programming Languages You've Never Heard Of (But Should Know About) Most developers spend their careers working with a handful of mainstream languages—Java, Python, JavaScript, maybe some C++. But beneath the surface of popular programming lies a fascinating world of languages that pioneered concepts we now take for granted, solved problems in radically different ways, or simply took the road less traveled. https://lnkd.in/gFfrHYd9

Welcome GitHub workflow ! we can add GitHub workflows via bots and scripts using yaml : yet another markup language , yaml or yml files are different than any markup language and json files. in XML or html , we have to write <> this in json we have to write " " : " " {} in yml we write clean and more readable code and configuration , in yml code block is defined by Indentation like python programming languages. what I know about yml is on :

🚀 Day 76 — LeetCode Practice 🚀 Today’s problem: Count the Number of Consistent Strings 💡 What I learned today: • Used a boolean array to efficiently track allowed characters • Practiced character indexing (c - 'a') technique • Improved understanding of string traversal using nested loops • Learned how to optimize lookup operations to O(1) 🧠 Key Idea: Store all allowed characters in a boolean array. Then, for each word, check if every character exists in the allowed set. If yes → count it as a consistent string ✅ ⚡ Approach Highlights: • Preprocessing allowed characters • Iterating through each word • Breaking early for invalid characters (optimization) • Counting only valid strings 💻 Language Used: Java Consistency is the key 🔑 — improving step by step every day! #Day76 #LeetCode #Java #CodingJourney #ProblemSolving #100DaysOfCode #Programming #Learning

Day 50 Designing Data-Intensive Applications by Martin Kleppmann Chapter 4 Encoding and Evaluation Thrift and protocol buffer rely on code generation: after a schema is defined, you can generate code that implements this schema in programming language. Useful in statistical typed language such as Java, C#, C++, because it allows efficient in -memory structures to be used for decoded data, and it allows type checking and autocompletion in IDEs when writing programs that access data structures. In dynamically typed programming languages such as JavaScript, Ruby or Python, there is no compile type checker. Avro provides optional code generation for statistically programmed languages. but it can be used just as well without any code generation.

Most developers remember their first line of code. For many of us, it started with a simple: "Hello, World!" It may look trivial, but this tiny program represents something much bigger: → The beginning of problem-solving → The first step into building real systems → The moment code actually works In this post, you can see together how “Hello, World!” looks in 5 popular languages: PHP, Python, JavaScript, Java, and C# Different syntax. Same purpose. And that’s the beauty of programming: Once you understand the logic, the language becomes just a tool. What was your first programming language? #programming #coding #softwaredevelopment #developers #webdevelopment #learncoding #100DaysOfCode #technology #beginners #devlife

🗑️ Why use a garbage-collected language if LLMs are doing the coding? For decades, using languages like Java, Python or C#, was well worth the performance penalty. Sure, the same app written in C/C++ (or assembly...) would have been more performant, but would have also been riskier, harder, and more expensive to develop. But the cheese clearly moved. 🦀 Rust is now mature and well understood, and if LLMs are the ones writing the code and fighting the notoriously demanding compiler, then why not just write in Rust and take advantage of the improved performance and safety guarantees? It may not be the best fit for all apps, but for some projects Rust just became that much more attractive.