Julia Programming for Physics Applications - Da¿¿stanl¿, Hamdi

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Résumé :
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. Within these pages, readers encounter cutting-edge research illustrating Julia's prowess across diverse domains. From streamlined code composition facilitated by modular architecture to the integration of artificial intelligence and graphical visualization, this book illuminates Julia's multifaceted applications. It notably avoids delving into AI algorithms, instead focusing on equipping readers with foundational Julia skills applicable to physics problem-solving. Julia boasts an extensive library ecosystem tailored for scientific computing, empowering users with tools for tasks ranging from differential equation solving to statistical analysis. Its robust support for parallel processing enables swift computations on multi-core systems, a crucial asset for handling voluminous datasets with finesse. Starting with a primer on Julia fundamentals, the book gradually transitions to practical applications across various physics subdomains. From nuclear physics to high-energy phenomena, each chapter offers hands-on exercises that cement comprehension and foster proficiency in employing computational methods to unravel complex physical phenomena. Designed as a precursor to deeper explorations into AI applications within scientific realms, this book lays the groundwork for harnessing Julia's capabilities in physics-centric contexts....

Biographie:
R. G?khan T?reci was born in 1976 in L?leburgaz. After completing his high school education in 1993, he graduated from Ankara University, Faculty of Science, Department of Physics in 1997. In the same year, he started to work as a research assistant at K?r?kkale University. In 2006, he completed his Ph.D. He is currently working at K?r?kkale University, K?r?kkale Vocational School. He continues his researches by performing scientific calculations in Wolfram Mathematica, Python, and Julia programming languages. Born in 1975, Hamdi D?istanli completed his primary, secondary, and high school education in Ankara. In 1998, he graduated from Ankara University, Department of Physics Engineering with the title of Physics Engineer in 1998. Between 1998 and 2005, he completed his master's and doctorate programs at the Institute of Natural and Applied Sciences. During this period, he worked as a research assistant at the same university. During his graduate studies, he worked in the fields of solid-state and atomic molecular physics. Between 2004 and 2013, he served as an officer in the Air Force Command, as a battery commander, and as a lecturer at the Air Non-Commissioned Officer Vocational High School. Since 2013, he has been working as a physics teacher in private schools and colleges as well as a project consultant. He is fluent in English and French. Prof. Dr. ?Ilkay T?rk Ç...

Sommaire:

Chapter 1 Introduction.- ...