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This book looks at how we can create data-centric asp.net applications. Written and organised in the classic Wrox Beginning style, this book is packed full of excellent code examples, which demonstrate important fundamental principles. Requiring some basic knowledge of ASP.net and Access or a SQL-based RDBMS, the authors initially guide you through the processes involved in connecting ASP.net pages to a database and investigate the various ways of reading data. They then explore all the major issues involved in data heavy asp.net programming, including some slightly more advanced topics such as using stored procedures and components.

All of the material in beginning asp.net Databases is real-world useful, and the multitude of examples ensure that you are in the driving seat on your way to becoming a succesful ASP.net programmer.

VB.Net does AccessVB.Net does ADOVB.Net does ADO ISAMsVB.Net Creates ISAM FilesAbout Text custom delimiter File IssuesVB.Net Opens ISAM FilesVB.Net does ADO and a DatasetVB.Net does ADO and a DatatableVB.Net does ADO and a DataViewVB.Net does ADO and OLEDBVB.Net does ADO and Schema XMVB.Net does ADOXVB.Net Does ArraysVB.Net does Attribute XMLVB.Net does CSV filesVB.Net does DAOISAMS USED WITH DAO.DBEngine.35ISAMS USED WITH DAO.DBEngine.36VB.Net working with DAO and AccessVB.Net does DAO and the DatasetVB.Net does DAO and DatatableVB.Net does DAO and a DataViewVB.Net does Dictionary ObjectsVB.Net does Element XMLVB.Net does XML for XSLVB.Net does CSV filesCreating various set and customized text files for ExcelVB.Net does Excel AutomationVB.Net does Excel SpreadsheetsVB.Net does G-MailVB.Net does OdbcVB.Net does OleDbVB.Net does Outlook MailVB.Net does System.Management codeVB.Net does Padded filesVB.Net does delimited text filesVB.Net does Schema XML FilesVB.Net does SQL…

Beginning ASP.NET 4.5 Databases introduces you to the world of building data-driven Web sites using ASP.NET, ADO.NET and the Entity Framework using C#. Since ASP.NET developers need to access databases quickly and efficiently, this book teaches the best practices and methods to help developers achieve professional ASP.NET and database solutions. Beginning ASP.NET 4.5 Databases is a comprehensive introduction on how you can connect a Web site to many different data sources - not just databases - and use the data to create dynamic page content. It also shows you how to build a relational database, use SQL to communicate with it, and understand how they differ from each other. With in-depth, on-target coverage of the new data access features of .NET Framework 4.5, this book is your guide to using ASP.NET to build responsive, easy-to-update data-driven Web sites. What you'll learn Design for code-first, model-first and database-first data access paradigms Use different data sources for…

Practical Database Programming with Visual C#.NET clearly explains the considerations and applications in database programming with Visual C#.NET 2008 and in developing relational databases such as Microsoft Access, SQL Server, and Oracle Database. Sidestepping the traditional approach of using large blocks of code, Ying Bai utilizes both Design Tools and Wizards provided by Visual Studio.NET and real-time object methods to incorporate over sixty real sample database programming projects along with detailed illustrations and explanations to help readers understand the key techniques and programming technologies in database programming. This invaluable resource features:

• Fundamental and advanced database programming techniques for beginning and experienced students as well as programmers

• A real completed sample database CSE_DEPT with three versions (Microsoft…

Tagline: Work directly with data through domain-specific objects and methods

C# developers, here’s your opportunity to learn the ins-and-outs of Entity Framework Core, Microsoft’s recently redesigned object-relational mapper. Benefit from hands-on learning that will teach you how to tackle frustrating database challenges, such as workarounds to missing features in Entity Framework Core, and learn how to optimize the performance of your applications, head-on!
Modern Data Access with Entity Framework Core teaches best practices, guidance, and shortcuts that will significantly reduce the amount of resources you internally dedicate to programming data access code. The proven methods and tools taught in this book, such as how to get better performance, and the ability to select the platform of your choice, will save you valuable time and allow you to create seamless data access. Dive into succinct guidance that covers the gamut-- from installing Entity Framework Core, reverse engineering, forward engineering (including schema…

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

A fully updated, integrated self-study system for the Oracle Database SQL Exam

This thoroughly revised Oracle Press guide offers 100% coverage of all objectives on the latest version of the Oracle Database SQL Exam. Ideal both as a study guide and on-the-job reference, OCA Oracle Database SQL Exam Guide (Exam 1Z0-071) features detailed explanations, examples, practice questions, and chapter summaries. “Certification Objectives,” “Exam Watch,” and “On the Job” sections reinforce salient points throughout. You will gain access to two complete practice exams that match the tone, tenor, and format of the live test.

Get complete coverage every topic on Exam 1Z0-071,…

Create scalable applications by taking advantage of NoSQL document databases on the cloud with .NET Core

• Work with the latest available tools related to Cosmos DB
• Learn to work with the latest version of the .NET Core SDK, C# and the SQL API
• Work with a database service that doesn't require you to use an ORM and provides flexibility

Cosmos DB is a NoSQL database service included in Azure that is continuously adding new features and has quickly become one of the most innovative services found in Azure, targeting mission-critical applications at a global scale. This book starts off by showing you the main features of Cosmos DB, their supported NoSQL data models and the foundations of its scalable and distributed architecture. You will learn to work with the latest available tools that simplify your tasks with Cosmos DB and reduce development costs, such as the Data Explorer in the Azure portal,…

A project-based guide to the basics of deep learning.

This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and other fundamental concepts and techniques. Students and practitioners learn the basics of deep learning by working through programs in Tensorflow, an open-source machine learning framework. “I find I learn computer science material best by sitting down and writing programs,” the author writes, and the book reflects this approach.

Each chapter…

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.

• Get a crash course in Python
• Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science
• Collect, explore, clean, munge, and manipulate…