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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]
Sriranga Veeraraghavan, "Sams Teach Yourself Shell Programming in 24 Hours" (Repost)
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)
Expert WSS 3.0 and MOSS 2007 Programming (repost)
Embedded Software Design and Programming of Multiprocessor System-on-Chip (repost)
OpenCV 2 Computer Vision Application Programming Cookbook
Programming Computer Vision with Python: Tools and algorithms for analyzing images
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Programming Data Structures in Java: A Laboratory Course (Repost)
Posted on 2010-03-16
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More Sandra Andersen, «Data Structures in Java: A Laboratory Course» & 8220; Data Structures in Java: A Laboratory Course defines active learning. With sixteen labs to choose from, this laboratory manual creates a "learn by doing" experience for its students by engaging them in implementation of data structures and in application of algorithms. Students are challenged to exercise their knowledge in each of the four-part structure laboratory assignments: Prelab: Students use the Prelab assignments to explore and implement the basic operations of a data structure. Bridge: During the Bridge exercises, students test and debug the advanced data types they developed in the prelab and are provided with substantial feedback and support. In-lab: Students gain programming experience during the in-lab projects as they apply the data structure to a real-world problem. & 8221;
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