{"product_id":"practical-julia-isbn-9781718502765","title":"Practical Julia","description":"\u003cb\u003eLearn to use Julia as a tool for research, and solve problems of genuine interest—like modeling the course of a pandemic—in this practical, hands-on introduction to the language.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eThe Julia programming language is acclaimed in scientific circles for its unparalleled ease, interactivity, and speed. \u003ci\u003ePractical Julia\u003c\/i\u003e is a comprehensive introduction to the language, making it accessible even if you’re new to programming.\u003cbr\u003e\u003cbr\u003eDive in with a thorough guide to Julia’s syntax, data types, and best practices, then transition to craft solutions for challenges in physics, statistics, biology, mathematics, scientific machine learning, and more. Whether you’re solving computational problems, visualizing data, writing simulations, or developing specialized tools, \u003ci\u003ePractical Julia\u003c\/i\u003e will show you how.\u003cbr\u003e\u003cbr\u003eAs you work through the book, you’ll:\u003cbr\u003e\u003cbr\u003e• Use comprehensions and generators, higher-level functions, array initialization and manipulation, and perform operations on Unicode text\u003cbr\u003e• Create new syntax and generate code with metaprogramming and macros, and control the error system to manipulate program execution\u003cbr\u003e• Visualize everything from mathematical constructs and experimental designs to algorithm flowcharts\u003cbr\u003e• Elevate performance using Julia’s unique type system with multiple dispatch\u003cbr\u003e• Delve into scientific packages tailored for diverse fields like fluid dynamics, agent-based modeling, and image processing\u003cbr\u003e\u003cbr\u003eWhether your interest is in scientific research, statistics, mathematics, or just the fun of programming with Julia, \u003ci\u003ePractical Julia\u003c\/i\u003e will have you writing high-performance code that can do real work in no time.\u003cbr\u003e\u003cbr\u003eOnline Resources: Ready-to-run code samples, illustrations, and supplemental animations available at \u003ci\u003ehttps:\/\/julia.lee-phillips.org\u003c\/i\u003e.Introduction\u003cbr\u003e\u003cb\u003ePART I: LEARNING JULIA\u003c\/b\u003e\u003cbr\u003eChapter 1: Getting Started\u003cbr\u003eChapter 2: Language Basics\u003cbr\u003eChapter 3: Modules and Packages\u003cbr\u003eChapter 4: The Plotting System\u003cbr\u003eChapter 5: Collections\u003cbr\u003eChapter 6: Functions, Metaprogramming, and Errors\u003cbr\u003eChapter 7: Diagrams and Animations\u003cbr\u003eChapter 8: The Type System\u003cbr\u003e\u003cb\u003ePART II: APPLICATIONS\u003c\/b\u003e\u003cbr\u003eChapter 9: Physics\u003cbr\u003eChapter 10: Statistics\u003cbr\u003eChapter 11: Biology\u003cbr\u003eChapter 12: Mathematics\u003cbr\u003eChapter 13: Scientific Machine Learning\u003cbr\u003eChapter 14: Signal and Image Processing\u003cbr\u003eChapter 15: Parallel Processing\u003cbr\u003eIndex\"A great starting point for the reader’s journey into Julia - with the first part covering the fundamentals of the language and second part diving into a variety of different scientific disciplines.\" \u003cb\u003e\u003cbr\u003e—Viral Shah, co-creator of the Julia programming language and CEO of JuliaHub\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003e\"This is a nice deep dive that covers a lot of ground, from the basics on how to define arrays and use the type system all the way to biochemical modeling and scientific machine learning. Lee gives a very nice in-depth treatment, showing not only the most standard ways to do things, but also some different library options along with a good explanation of the pros and cons to the choices. I think this is a great book for any Julia user's shelf.\"\u003cb\u003e\u003cbr\u003e\u003cb\u003e—Christopher Rackauckas, Applied Mathematics Instructor, Massachusetts Institute of Technology\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/b\u003e\u003ci\u003e\"Practical Julia\u003c\/i\u003e is clear, concise, and complete, exactly what you want in an introductory book. It’s also really interesting; the author has an engaging voice and a knack for good examples. Along with a general introduction to Julia, he provides real-world illustrations of applying Julia to specific problems in biology, physics, statistics, machine learning, and other areas. Highly recommended.\"\u003cb\u003e\u003cb\u003e\u003cb\u003e\u003cbr\u003e—David Chappell, Principal of Chappell \u0026amp; Associates\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/b\u003e\u003cb\u003eLee Phillips\u003c\/b\u003e was a theoretical and computational physicist at the Naval Research Laboratory for 21 years. He has presented his research in numerous scientific papers and international conferences. He has also written many popular articles on science and its history, and on the use of computers in research. He’s involved with science education and outreach, including serving on the Board of Directors of the Friends of Arlington’s Planetarium and maintaining their website.","brand":"No Starch Press","offers":[{"title":"Default Title","offer_id":46302624645349,"sku":"NP9781718502765","price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781718502765.jpg?v=1767735033","url":"https:\/\/k12savings.com\/products\/practical-julia-isbn-9781718502765","provider":"K12savings","version":"1.0","type":"link"}