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Python vs JavaScript: Which is more useful in 2026? 🐍⚡ The answer depends on what you’re building. 🐍 Python dominates AI, machine learning, data science, automation, and research. Its ecosystem includes tools like PyTorch, TensorFlow, NumPy, and pandas, making it the default choice for much of modern AI. ⚡ JavaScript is unavoidable for the web because it runs natively in browsers. With Node.js, it also powers backend applications, while frameworks like React Native extend it to mobile developm
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Python vs JavaScript: Which is more useful in 2026? 🐍⚡ The answer depends on what you’re building. 🐍 Python dominates AI, machine learning, data science, automation, and research. Its ecosystem includes tools like PyTorch, TensorFlow, NumPy, and pandas, making it the default choice for much of modern AI. ⚡ JavaScript is unavoidable for the web because it runs natively in browsers. With Node.js, it also powers backend applications, while frameworks like React Native extend it to mobile developm
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belajar input & .value di javascript — tutorial singkat
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Apa itu JavaScript? kenapa javascript disukai dan gunakan oleh banyak orang? Di video ini kita akan bahas dasar-dasar javascript seperti membuat variable, function dan juga loopnya. Kita juga akan membahas alasan kenapa javascript menjadi bahasa yang paling populer dari tahun ke tahun. #coding #pemrograman #javascript
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Нерассказанная история веб-разработки 💀 HTML придумали для сайтов. CSS — чтобы исправить внешний вид HTML. JavaScript — чтобы оживить HTML и CSS. jQuery — чтобы исправить JavaScript. AngularJS — чтобы исправить jQuery. React — чтобы исправить AngularJS. Vue, Svelte, Solid и HTMX — чтобы исправлять уже всё остальное. А самое смешное — jQuery всё ещё жив. Веб-разработка — это бесконечный цикл: “мы придумали новый инструмент, чтобы исправить старый”. 📬 Telegram: https://t.me/zargo_it Спасибо Fire
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Pernah coba 0.1 0.2 di JavaScript? Hasilnya malah 0.30000000000000004. Kenapa bisa begitu? Bukan karena JavaScript salah menghitung. Komputer menyimpan angka menggunakan sistem biner, yaitu 0 dan 1. Masalahnya, beberapa angka desimal seperti 0.1 dan 0.2 tidak bisa direpresentasikan secara tepat dalam bentuk biner. Karena komputer hanya bisa menyimpan nilai yang paling mendekati, saat angka tersebut dihitung hasilnya bisa punya sedikit perbedaan. Hal ini disebut floating point precision. Ini pent
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