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：

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

2.9 视在计算 2.9.1 视在功率计算 视在功率有两类计算公式： PQS视在功率（公式一）： 2 2S P Q= + RMS视在功率（公式二）： *S Urms Irms= HT7036提供两类计算方式，用户可通过寄存器配置选择使用任意一种计算公式。

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

本教程由开发该软件的团队撰写，是希望使用PVM来提高其高性能计算资源的灵活性和功能的科学家，工程师和其他计算机用户的权威资源。

本文档适用于天津理工大学 计算机中加专业大四上学期外教，期末考试后交的homework。

Cirq是一个Python库，用于编写，操纵和优化量子电路，并在量子计算机和仿真器上运行它们。 安装和说明文件 Cirq文档可从。 最新的cirq的预发行版本的文档（跟踪存储库的master分支；如果pip install --pre cirq会得到什么），可从。 最新的cirq稳定版本的文档（通过pip install cirq获得的pip install cirq ）可从。 有关Cirq的最新新闻，请注册！ 你好Qubit 一个简单的示例，可以帮助您入门和运行： import cirq # Pick a qubit. qubit = cirq . GridQubit ( 0 , 0 ) # Create a circuit circuit = cirq . Circuit ( cirq . X ( qubit ) ** 0.5 , # Square root of

介绍基于微软 Azure云计算平台 的物联网边缘计算技术

matlab数值计算的经典书籍.带有源码的.下次上传

The computation of patterns in strings is a fundamental requirement in many areas of science and information processing. The operation of a text editor, the lexical analysis of a computer program, the functioning of a finite automaton, the retrieval of information from a database - these are all activities which may require that patterns be located and computed. 字符串匹配子串搜索 后缀树