{"title":"Jesse M. Kinder","description":"\u003cp\u003eDiscover the works of Jesse M. Kinder, a distinguished author in the realm of \u003cem\u003eComputing \u0026amp; Technology\u003c\/em\u003e. Kinder's books are designed to both educate and inspire learners, providing a solid foundation in programming and computational modelling. With a focus on practical applications, his writings serve as an invaluable resource for students and enthusiasts alike.\u003c\/p\u003e\n\n\u003cp\u003eAmong his notable works, \u003cem\u003eA Student's Guide to Python for Physical Modeling\u003c\/em\u003e stands out as a comprehensive introduction to Python, tailored specifically for those interested in applying computational methods to physical problems. By blending theoretical concepts with hands-on exercises, Kinder ensures readers gain not only intellectual understanding but also practical skills.\u003c\/p\u003e\n\n\u003cp\u003eJesse M. Kinder's collection provides a perfect starting point for anyone eager to delve into the world of computing and technology, offering tools and knowledge that are essential in today's digital landscape.\u003c\/p\u003e","products":[{"product_id":"a-students-guide-to-python-for-physical-modeling-by-jesse-m-kinder-9780691223650","title":"A Student's Guide to Python for Physical Modeling","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003eA fully updated tutorial on the basics of the Python programming language for science students\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003ePython is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of \u003ci\u003eA Student's Guide to Python for Physical Modeling\u003c\/i\u003e aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed.\u003c\/p\u003e\n\n\u003cp\u003eThis guide introduces a wide range of useful tools, including:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eBasic Python programming and scripting\u003c\/li\u003e\n    \u003cli\u003eNumerical arrays\u003c\/li\u003e\n    \u003cli\u003eTwo- and three-dimensional graphics\u003c\/li\u003e\n    \u003cli\u003eAnimation\u003c\/li\u003e\n    \u003cli\u003eMonte Carlo simulations\u003c\/li\u003e\n    \u003cli\u003eNumerical methods, including solving ordinary differential equations\u003c\/li\u003e\n    \u003cli\u003eImage processing\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eNumerous code samples and exercises—with solutions—illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more.\u003c\/p\u003e\n\n\u003cp\u003eThis edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"NewSouth Books","offers":[{"title":"Default Title","offer_id":46816681754860,"sku":"9780691223650","price":123.0,"currency_code":"NZD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/2223643482434.jpg?v=1757847254"}],"url":"https:\/\/bookhero.live\/collections\/jesse-m-kinder.oembed","provider":"Book Hero","version":"1.0","type":"link"}