讲technical writing的书, 很全面.

Numerical Recipes - The Art of Scientific Computing(3rd)【数值分析方法库pdf】无水印 [数值分析方法库].Cambridge.Press.Numerical.Recipes.3rd.Edition Numerical Recipes - The Art of Scientific Computing(3rd) 无水印pdf Numerical Recipes - The Art of Scientific Computing(3rd) 英文无水印pdf 第3版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除

蛋白质-配体相互作用分析仪（PLIP） 轻松分析3D结构中的非共价蛋白-配体相互作用。 用例 码头工人 奇点 Python模块 “我想分析我的蛋白质-配体复合物！” :check_mark: :check_mark: :yellow_circle: :cross_mark: “我想分析十亿个蛋白质-配体复合物！” :cross_mark: :yellow_circle: :check_mark: :yellow_circle: “我喜欢Linux命令行，并希望围绕PLIP构建工作流程！” :cross_mark: :check_mark: :check_mark: :yellow_circle: “我是一名Python程序员，想在我的项目中使用PLIP！” :cross_mark: :yellow_circle: :yellow_circle: :check_mark: 快速开始 码头工人 如果已安装Docker，则可以使用以下shell命令对结构1vsn运行PLIP分析： 在Linux / MacOS上：

GSL( GNU Scientific Library) 2.5 含源代码及CMake工程 和已编译库dll,lib，利用CMake可直接构建VS工程进行编译

Scientific Computing with Python 3 English | 23 Dec. 2016 | ISBN: 1786463512 | 332 Pages | AZW3/MOBI/EPUB/PDF (conv) | 17.95 MB Key Features Your ultimate resource for getting up and running with Python numerical computations Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules A hands-on guide to implementing mathematics with Python, with complete coverage of all the key concepts Book Description Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more. What you will learn The principal syntactical elements of Python The most important and basic types in Python The essential building blocks of computational mathematics, linear algebra, and related Python objects Plot in Python using matplotlib to create high quality figures and graphics to draw and visualize your results Define and use functions and learn to treat them as objects How and when to correctly apply object-oriented programming for scientific computing in Python Handle exceptions, which are an important part of writing reliable and usable code Two aspects of testing for scientific programming: Manual and Automatic About the Author Claus Fuhrer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries

科学计算概论 Scientific Computing An Introductory Survey-chap01_科学计算 Scientific Computing

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A-Primer-on-Scientific-Programming-with-Python

A Primer on Scientific Programming with Python 英文pdf The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance. The book teaches 'Matlab-style' and procedural programming as well as object-oriented programming. High school mathematics is a required background, and it is advantageou s to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.

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