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Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77
Introduction to Programming with Fortran - with coverage of Fortran 90, 95, 2003 and 77
MATLAB - Modelling, Programming and Simulations
-MATLAB: Modelling, Programming and Simulations- ed. by Emilson Pereira Leite (Repost)
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77 [Repost]
An Introduction to Programming and Numerical Methods in MATLAB [Repost]
"MATLAB: Modelling, Programming and Simulations" ed. by Emilson Pereira Leite (Repost)
Programming Social Applications: Building Viral Experiences with OpenSocial, OAuth, OpenID, and Distributed Web... (repost)
MATLAB Programming for Engineers (2nd edition) [Repost]
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Programming Computer Vision with Python - Tools and algorithms for analyzing images
Matlab: A Practical Introduction to Programming and Problem Solving (2nd edition) [Repost]
ECOOP 2011 - Object-Oriented Programming
Mobile JavaScript Application Development - Bringing Web Programming to Mobile Devices [Paperback]
Concurrent Programming on Windows (repost)
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OpenCV 2 Computer Vision Application Programming Cookbook
Programming Computer Vision with Python: Tools and algorithms for analyzing images
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Inside Microsoft SQL Server 2008: T-SQL Programming
Posted on 2010-03-16
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More Title: Product Description Get a detailed look at the internal architecture of T-SQL with this comprehensive programming reference. Database developers and administrators get best practices, expert techniques, and code samples to master the intricacies of this programming language—solving complex problems with real-world solutions. Discover how to: * Work with T-SQL and CLR user-defined functions, stored procedures, and triggers. * Handle transactions, concurrency, and error handling. * Efficiently use temporary objects, including temporary tables, table variables, and table expressions. * Evaluate when to use set-based programming techniques and when to use cursors. * Work with dynamic SQL in an efficient and secure manner. * Treat date- and time-related data in a robust manner. * Develop CLR user-defined types and learn about temporal support in the relational model. * Use XML and XQuery and implement a dynamic schema solution. * Work with spatial data using the new geometry and geography types and spatial indexes. * Track access and changes to data using extended events, SQL Server Audit, change tracking, and change data capture. * Use Service Broker for controlled asynchronous processing in database applications.
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