C#使用手冊(cè).doc 對(duì)于開發(fā)人員來(lái)說(shuō)，把C#語(yǔ)言及其相關(guān)環(huán)境.NET FRAmework描述為多年來(lái)最重要的新技術(shù)一點(diǎn)都不夸張。.NET提供了一種新環(huán)境。在這個(gè)環(huán)境中，可以開發(fā)出運(yùn)行在Windows上的幾乎所有應(yīng)用程序，而C#是專門用于.NET的新編程語(yǔ)言。例如，使用C#可以編寫出動(dòng)態(tài)Web頁(yè)面、XML Web服務(wù)、分布式應(yīng)用程序的組件、數(shù)據(jù)庫(kù)訪問(wèn)組件、傳統(tǒng)的Windows桌面應(yīng)用程序，甚或可以聯(lián)機(jī)/脫機(jī)運(yùn)行的新
標(biāo)簽： 使用手冊(cè)
上傳時(shí)間： 2014-11-26
上傳用戶：思琦琦
The Rails Cookbook is is packed with the solutions you need to be a proficient developer with Rails, the leading FRAmework for building the new generation of Web 2.0 applications. Recipes range from the basics, like installing Rails and setting up your development environment, to the latest techniques, such as developing RESTful web services. Topics include: . Modeling data with the ActiveRecord library . Setting up views with ActionView and RHTML templates . Building your application s logic into ActionController . Testing and debugging your Rails application . Building responsive web applications using JavaScript and Ajax . Ensuring that your application is security and performs well . Deploying your application with Mongrel and Apache . Using Capistrano to automate deployment . Using the many Rails plugins Working with graphics
標(biāo)簽： Rails with proficient developer
上傳時(shí)間： 2013-12-23
上傳用戶：pkkkkp
This book is the culmination of more than 20 years of building, studying, and teaching real-time systems. The author’s travels have taken him to NASA, UPS, Lockheed Martin, the Canadian and Australian Defense Forces, MIT’s Charles Stark Draper Labs, and many other places. These visits and interactions with literally hundreds of students from such places as Boeing, Motorola, and Siemens have resulted in a wider understanding of real-time systems and particularly their real application. This book is, in essence, a compendium of these experiences. The author’s intent is to provide a practical FRAmework for software engineers to design and implement real-time systems. This approach is somewhat different from that of other texts on the subject.
標(biāo)簽： culmination real-time building studying
上傳時(shí)間： 2014-01-01
上傳用戶：fnhhs
本軟件采用按比例批量變改圖片尺寸軟件，使用Csharp開發(fā)需要FRAmework支持
上傳時(shí)間： 2013-12-02
上傳用戶：熊少鋒
FIR濾波器的C++實(shí)現(xiàn) Below are program source listings for FIR.h and FIR.cpp, the header file and class file for implementing arbitrary causal FIR filters in the Synthesis Tool Kit (STK) FRAmework
標(biāo)簽： FIR and listings program
上傳時(shí)間： 2013-12-11
上傳用戶：heart520beat
MFCLite 3，一個(gè)具體而微（仿 MFC）的 application FRAmework 侯捷
標(biāo)簽： MFCLite
上傳時(shí)間： 2016-09-22
上傳用戶：tianjinfan
使用C#程式語(yǔ)言開發(fā)，並執(zhí)行於.NET FRAmework下；是研習(xí)「蟻拓尋優(yōu)法」不可或缺的軟體工具。系統(tǒng)使用ACO (Ant Colony Optimization)演算公式模擬螞蟻的覓食行徑抉擇。使用者可以設(shè)定費(fèi)洛蒙和食物氣味強(qiáng)度等相關(guān)參數(shù)以及動(dòng)態(tài)設(shè)定障礙物的位置和形狀，研習(xí)螞蟻覓食的最短路徑形成過(guò)程。研習(xí)各種參數(shù)設(shè)定對(duì)螞蟻覓食行為的影響，了解費(fèi)落蒙機(jī)制對(duì)蟻拓尋優(yōu)化法的影響。本系統(tǒng)可支援柔性計(jì)算教學(xué)，研習(xí)蟻拓優(yōu)化法中人工螞蟻的隨機(jī)搜尋模式和啟發(fā)式法則設(shè)計(jì)原理。
標(biāo)簽： 程式
上傳時(shí)間： 2013-12-24
上傳用戶：anng
1.把"Web"文件夾內(nèi)的文件拷貝到某個(gè)文件夾 2.在IIS中新建站點(diǎn)，指向該文件夾,如果新建虛擬路徑,會(huì)導(dǎo)致一些圖片的不正常顯示. 3."Database"文件夾內(nèi)有數(shù)據(jù)庫(kù)文件hyb2bTest_Data.MDF，在Sql Server企業(yè)管理器中選擇"附加數(shù)據(jù)庫(kù)" 4.需要修改根目錄web.config文件 <add key="DBServer" value="."/>,改成當(dāng)前數(shù)據(jù)庫(kù)地址 <add key="DBUser" value="sa"/>,改成當(dāng)前數(shù)據(jù)庫(kù)用戶名 <add key="DBPwd" value="sa"/>,改成當(dāng)前數(shù)據(jù)庫(kù)密碼 <add key="DBName" value="hyb2btest"/>,改成當(dāng)前數(shù)據(jù)庫(kù)名稱 <add key="SQLConnString" value="server=. database=hyb2btest user id=sa pwd=sa Min Pool Size=10"/>，分別也換成當(dāng)前數(shù)據(jù)庫(kù)的地址，用戶名、密碼以及數(shù)據(jù)庫(kù)名稱。 5.后臺(tái)登錄地址： 當(dāng)前路徑+manage/index.aspx 帳戶：admin 密碼：admin 環(huán)境要求： Windows2000 / Windows2003 + IIS5 + .NET FRAmework 1.1 + MS SQL Server 2000 或各更高版本 演示地址：www.hyb2b.cn 電話：13061363607 MSN ：huayousoft@hotmail.com
上傳時(shí)間： 2014-01-27
上傳用戶：zhliu007
Mac Osx下腳本開發(fā)實(shí)例，基于cocoa FRAmework，xcode
標(biāo)簽： Mac Osx 腳本 開發(fā)實(shí)例
上傳時(shí)間： 2016-10-14
上傳用戶：小寶愛考拉
Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a FRAmework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique’s potential.
標(biāo)簽： experimental generation advances enormous
上傳時(shí)間： 2016-10-23
上傳用戶：wkchong
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