{"product_id":"introduction-to-the-tools-of-scientific-computing-9783030608101","title":"Introduction to the Tools of Scientific Computing","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThe book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing, focusing on Python and comparing it to other languages. It is useful for mathematicians and practitioners trying to decide which programming language to use for which purposes. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 344 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 04 December 2021\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe book serves as an invaluable introduction to a wide range of common programming tools and methodologies employed in numerical mathematics and scientific computing. Unlike conventional approaches that often prioritize specific languages, this comprehensive resource strives to elucidate the fundamental principles underlying these techniques. To facilitate a seamless learning experience, the book begins by presenting new concepts in a user-friendly Python language, allowing readers to grasp these ideas with ease. Subsequently, it extends and elaborates on these concepts across various scientific programming environments, including C\/C++, Julia, MATLAB, and Maple. This diverse range of programming environments enables readers to explore different approaches to distributed computing and apply their knowledge in diverse domains.\u003cbr\u003e\u003cbr\u003eMoreover, the book's exploration of multiple languages adds value to its appeal, particularly for mathematicians and practitioners seeking guidance in selecting the most suitable programming language for specific purposes. By comparing and contrasting the features and capabilities of different languages, readers can make informed decisions about which language best suits their needs, whether it's for complex numerical simulations, data analysis, or machine learning applications.\u003cbr\u003e\u003cbr\u003eIn summary, the book offers a comprehensive and accessible guide to programming tools and methodologies in numerical mathematics and scientific computing. Its focus on fundamental principles, combined with a practical approach across various programming environments, makes it an essential resource for students, researchers, and practitioners alike. Whether you are a novice or an experienced programmer, this book will provide you with the knowledge and skills necessary to excel in your field.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 545g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030608101\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2020\u003c\/p\u003e","brand":"Einar Smith","offers":[{"title":"Paperback \/ softback","offer_id":44103083950330,"sku":"9783030608101","price":37.47,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1646388064229_book.jpg?v=1646988064","url":"https:\/\/shulphink.com\/products\/introduction-to-the-tools-of-scientific-computing-9783030608101","provider":"Shulph Ink","version":"1.0","type":"link"}