{"product_id":"a-students-guide-to-python-for-physical-modeling-second-edition-9780691223650","title":"A Student's Guide to Python for Physical Modeling: Second Edition","description":"\u003cp\u003e • Author(s): Philip Nelson\u003cbr\u003e • Publisher: Princeton University Press\u003cbr\u003e • Publisher Imprint: Princeton University Press\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA fully updated tutorial on the basics of the Python programming language for science students\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\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. \u003cp\u003e\u003c\/p\u003eThis guide introduces a wide range of useful tools, including: \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\u003cp\u003e\u003cbr\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. This 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","brand":"Princeton University Press","offers":[{"title":"Paperback","offer_id":45032780595351,"sku":"9780691223650","price":3488.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780691223650.webp?v=1769198647","url":"https:\/\/atlanticbooks.com\/products\/a-students-guide-to-python-for-physical-modeling-second-edition-9780691223650","provider":"Atlantic Books","version":"1.0","type":"link"}