Programming is a journey from fighting for every byte to focusing on pure logic. In the early days, languages like C gave us total control over the hardware, but at the cost of complexity. As we needed to build faster, Java bridged the gap, and now Python and JavaScript allow us to turn ideas into reality in record time. We’ve traded raw execution speed for developer productivity. We care more about "what" we want to build than "how" the CPU handles it. under each programming language remain the same. A bad algorithm will still lag, and the wrong data structure will always break your scale. The syntax changes, but the logic is forever. #Programming #SoftwareEngineering #Python #Javascript #Coding
From C to Python: Evolving Programming Languages
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We are moving from the era of ‘Knowing how to do it’ to the era of ‘Knowing what to ask for’ I have been reflecting on my experience using bytecode tools. I no longer need to know how to read every line of code to build professional-level solutions. In the technology world, we often refer to this shift as moving from “Technical Skill” to “Strategic Skill.” This has led me to a clear conclusion: we are transitioning from the era of ‘Knowing how to do it’ to the era of ‘Knowing what to ask for.’ The true programming language of the future is not Python or C++; it is critical thinking and the ability to articulate a need.
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Claude Code speaks fluent Python, JavaScript, SQL, and 50 other programming languages. Your dev speaks 2. Maybe 3. Different parts of a software project often need different programming languages. Your website might be built in one language, your database uses another, your automation scripts use a third. Most developers are really strong in a few languages and shakier in others. Claude Code is fluent across all of them, which means your developer can get expert-level help even in the languages they’re less comfortable with. No more “I don’t really know that language” roadblocks. KISS METHOD 💋 💋 Keep it super simple
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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
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Want to speak the language of the future? Start with code. Learning to code isn’t just about syntax—it’s about problem-solving, creating, and thinking like a developer. Whether you’re diving into Python, sharpening your C++, or finally tackling JavaScript, your path starts here. Our books don’t just teach programming languages—they train you to build real software, debug like a pro, and understand how your code fits into the bigger system. Hands-on projects. Real-world examples. Skills that stick. Because the best way to learn code… is to write it. #RheinwerkComputingBlog #LearnToCode #Python #JavaScript #Java #CPP #ProgrammingSkills Explore our titles here: https://hubs.la/Q048Scbv0
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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.
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Programming languages are not all the same! They are categorized into three main levels: 1. Machine Language – Binary code directly understood by the CPU 2. Assembly Language – Low-level, human-readable code using mnemonics 3. High-Level Language – Easy-to-read languages like Python, C++, Java, JavaScript. High-level languages are widely used today because they save time, reduce errors, and are easy to learn. #ProgrammingBasics #FutureSkills #Python #Cplusplus #Java #JavaScript #CodingEducation #LearnProgramming
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You write code. But do you know what actually runs? 💻⚙️ Python. Java. C++. All of it eventually turns into something much closer to raw silicon and electricity. And that layer? Most developers never truly understand it. I’m building something to fix that. Introducing: Silicon to Assembly 🚀 A documentation project that breaks down what really happens inside a CPU — from the lowest level up to assembly language. No shortcuts. No black boxes. No “just accept it”. Just pure logic. As Charles E. Leiserson once said: "If you really wanna understand something, you want to understand it to a level that’s necessary and then one level below that, because it gives you an insight as to why that layer is what it is and what’s really going on." 📌 What makes it different? Explains every term — nothing assumed Completely architecture-independent Focuses on understanding, not memorizing Covers the full journey: → CPU internals → Registers & memory → Instruction flow → Assembly If this sounds interesting: Check it out → https://lnkd.in/gVDr7Jmp 🔗 And if you find it valuable, consider dropping a ⭐ on the repo — it really helps the project grow. Most people code. Very few understand what their code becomes. Be one of them. #AssemblyLanguage #LowLevel #ComputerScience #CPU #OpenSource #LearnInPublic #TechEducation
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🚀 Tech Brain Teaser – Can You Crack It? Three developers — Karan, Isha, and Vivek — are each working with a different programming language: Python, Java, and JavaScript 💻 But here’s the twist 👇 🔍 Clues: 1️⃣ Karan does NOT use Python 2️⃣ Isha does NOT use Java 3️⃣ Vivek uses neither Java nor JavaScript 🧠 Challenge: Match each developer with the correct language! Drop your answers below ⬇️ (No cheating… your logic skills are on the line) #TechPuzzle #BrainTeaser #CodingChallenge #DeveloperLife #LogicSkills #ThinkLikeAProgrammer
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Where is programming headed? This article explores how concepts from functional programming have spread into “mainstream” languages and how increasing abstraction can reshape the way programmers work. Read here: https://lpi.org/rug6 #LinuxProfessionalInstitute #LPI #functionalprogramming #programminglanguages #python #java #rust #softwaredevelopment #futureofprogramming #programming
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I recently finished a low-level programming course where I implemented two garbage collection strategies in C: Reference Counting and Mark-and-Sweep. Working on this helped me understand some important trade-offs: • Reference Counting is simple and gives immediate reclamation, but struggles with cyclic references • Mark-and-Sweep handles cycles, but introduces pauses and requires traversing the object graph • Memory management is not just about correctness — it's about balancing performance, complexity, and real-world constraints One thing that stood out to me is how these ideas directly connect to how modern languages like Python and Java manage memory under the hood. Building these from scratch in C forced me to think about: object lifetimes memory ownership trade-offs between simplicity and completeness. Code (with implementation details): https://lnkd.in/dME23X-j
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