Julia Programming for Physics Applications by R. Gökhan Türeci (.PDF)

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File Size: 31.4 MB

Julia Programming for Physics Applications by R. Gökhan Türeci, Hamdi Dağıstanlı, İlkay Türk Çakır
Requirements: .PDF reader, 31.4 MB
Overview: Navigating the realm where physics intersects with programming, this book serves as an indispensable guide for students embarking on their journey with Julia. Whether it is plotting equations or analyzing experimental data, mastering computational tools is essential for unraveling the complexities of physical phenomena. Julia, an open-source programming language, emerges as the bridge between simplicity and efficiency. While Python, another open-source language, offers user-friendly syntax, its line-by-line execution often leads to sluggish performance. Julia, however, embodies the ethos of being “as easy as Python but as fast as C/C++,” tailored specifically for scientific computing with ongoing developmental enhancements. Notably, Microsoft’s AI assistant Copilot is crafted in Julia, showcasing its versatility and adaptability. Although Julia is a language for general use and numerical computing, it is also well suited for Data Science and Machine Learning applications. Starting with a primer on Julia fundamentals, the book gradually transitions to practical applications across various physics subdomains.
Genre: Non-Fiction > Tech & Devices

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