Best language in 2025? #174967
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Hi @xcontcom |
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That's the million-dollar question! However, the real answer is: there's no single "best" language—it completely depends on what you want to build. Instead of a ranking, here's a more helpful way to think about language choice in 2025: 🚀 By Project Type: Frontend: JavaScript/TypeScript (React, Vue) are still essential Backend: Python (Django/FastAPI), JavaScript (Node.js), Go (for performance), or Rust (for safety) AI/Machine Learning: Python dominates (TensorFlow, PyTorch) Julia gaining traction for scientific computing Mobile Development: Kotlin (Android), Swift (iOS) Dart (Flutter) for cross-platform Systems Programming: Rust (memory safety), C++ (performance-critical) Enterprise/Backend: Java, C# still rule large systems 📈 Trending Languages to Watch: TypeScript - JavaScript with types, becoming standard Go - Simple, fast, great for backend/services Zig - Emerging systems language 💡 Better Questions to Ask Yourself: What's the job market like in my area/field? What does my team/company use? What has good learning resources and community? 🎯 My Practical Advice: Learn Python - versatile, huge ecosystem Master JavaScript/TypeScript - web isn't going away Consider Rust if you care about performance/safety What are you hoping to build? That might help me give you a more specific recommendation! |
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Hi @xcontcom👋, Good question! In 2025, there isn’t a single “best” language — it depends on the use-case: Python → still strong for AI/ML, scripting, and data science. JavaScript / TypeScript → dominant in full-stack web development. Rust → rising for systems programming and performance-critical apps. Go → reliable for scalable backend and cloud-native services. Kotlin / Swift → solid for mobile development. 👉 The “best” choice really comes down to what you’re building. Thanks for asking this thoughtful question. |
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In 2025, there’s no single “best” programming language — it depends on your goals.
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There is no such thing. |
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There isn’t a single universally “best” programming language in 2025. At the end of the day, programming languages are just tools—you have a problem or a goal, and the language is the bridge to reach a solution. What really matters is how deeply you master a language and its ecosystem. For instance:
The key takeaway: instead of asking “What is the best language?”, ask “Which language best fits the domain I want to specialize in?”. Once you gain proficiency and understand the surrounding tooling, frameworks, and community practices, that language will maximize your productivity and impact. |
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There isn’t a single “best” language in 2025—it really depends on your goals. Instead of chasing the “best” language, pick one that matches your project, career goals, or ecosystem. A language that aligns with what you want to build will always be more productive. |
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The "best" language is a topic mostly driven by personal opinions, but if you were asking about popular languages in 2025, here's a short list;
Here's a list of the 20 most popular languages here: https://www.tiobe.com/tiobe-index/ |
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Learn Python + TypeScript combo for maximum market coverage. Python for AI/data roles, TypeScript for web. Specializing in AI/ML with Python pays the most right now due to the generative AI boom. |
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I would say Java and python specifically with new update for editors like intellj so you can get AI assistants. |
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Well it is depend on you need
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For the folks who have listed TypeScript, this was bound to happen in a way that couldn't be swept under the rug as "WAI". When types collide
What? So, what makes TypeScript v5.9.2+ happy? Redundant passing of a
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Hi @xcontcom |
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What about ASM? How bad is it in 2025? |
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Python — because in 2025, it still runs AI, web, data, and automation without making you wrestle with memory bugs. 😎 |
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Python - World is tilting towards the beam of AI |
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The question nobody is really tackling is do you want to blend in, or stand out. If you are new, you need to blend in, find things easy to learn with tasks that are low paying. If you are trying to stand out, you need to break away from the herd of "use python and java". As archaic as it sounds, some of the most complex models running in data science for some fields is "python" but it's just a wrapper around an old Fortran code block nobody dares touch. If you want to move ahead of python you may need to look back to C. Some of the most meaningful tools and areas for advancement would leverage libraries like zlib (C), OpenSSL (C), xz (C), libsodium (C). Learning to use and adapt some of these would be better career advice, but not good for some rookie just starting out. |
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What is the best language in 2025?
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