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Author: Kenneth P. Bowman Publisher: Elsevier ISBN: 0080489273 Category : Computers Languages : en Pages : 310
Book Description
In today's information age, scientists and engineers must quickly and efficiently analyze extremely large sets of data. One of the best tools to accomplish this is Interactive Data Language (IDL®), a programming and visualization environment that facilitates numerical modeling, data analysis, and image processing. IDL's high-level language and powerful graphics capabilities allow users to write more flexible programs much faster than is possible with other programming languages. An Introduction to Programming with IDL enables students new to programming, as well as those with experience in other programming languages, to rapidly harness IDL's capabilities: fast, interactive performance; array syntax; dynamic data typing; and built-in graphics. Each concept is illustrated with sample code, including many complete short programs. - Margin notes throughout the text quickly point readers to the relevant sections of IDL manuals - End-of-chapter summaries and exercises help reinforce learning - Students who purchase the book are eligible for a substantial discount on a student version of the IDL software
Author: Michael Galloy Publisher: Michael Galloy ISBN: Category : Computers Languages : en Pages : 486
Book Description
Modern IDL is an opinionated guide to using IDL, including information about recent versions of IDL, advanced topics, and best practices. Modern IDL is also a useful reference guide for both beginners and advanced users, collecting tables and lists of items that are scattered through the online help.
Author: Morton J. Canty Publisher: CRC Press ISBN: 1466570377 Category : Mathematics Languages : en Pages : 575
Book Description
Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL and Python, Third Edition introduces techniques used in the processing of remote sensing digital imagery. It emphasizes the development and implementation of statistically motivated, data-driven techniques. The author achieves this by tightly interweaving theory, algorithms, and computer codes. See What’s New in the Third Edition: Inclusion of extensive code in Python, with a cloud computing example New material on synthetic aperture radar (SAR) data analysis New illustrations in all chapters Extended theoretical development The material is self-contained and illustrated with many programming examples in IDL. The illustrations and applications in the text can be plugged in to the ENVI system in a completely transparent fashion and used immediately both for study and for processing of real imagery. The inclusion of Python-coded versions of the main image analysis algorithms discussed make it accessible to students and teachers without expensive ENVI/IDL licenses. Furthermore, Python platforms can take advantage of new cloud services that essentially provide unlimited computational power. The book covers both multispectral and polarimetric radar image analysis techniques in a way that makes both the differences and parallels clear and emphasizes the importance of choosing appropriate statistical methods. Each chapter concludes with exercises, some of which are small programming projects, intended to illustrate or justify the foregoing development, making this self-contained text ideal for self-study or classroom use.
Author: Gerald Brose Publisher: John Wiley & Sons ISBN: 0471437956 Category : Computers Languages : en Pages : 753
Book Description
"Java Programming with CORBA" - jetzt erscheint der Bestseller in der 3. aktualisierten und erweiterten Auflage. Anerkannte Experten zeigen anhand fortgeschrittener Techniken und Beispielen aus der Praxis, wie man einfache und komplexe Javaprogramme mit CORBA entwirft. Zunächst geben sie einen kurzen Überblick über CORBA, Java, Oject Request Brokers (ORBs) und EJB Komponenten und erläutern dann, wie man diese Technologien einsetzt, um komplette Java-Anwendungen zu entwickeln. Diese Neuauflage wurde um 50% neues Material erweitert, um den Neuerungen der kürzlich erschienenen 3. Version von CORBA Rechnung zu tragen. Topaktuelle Themen, wie z.B. Portabel Object Adaptor (POA), Remote Method Innovation (RMI) over IIOP und EJB werden ausführlich diskutiert. Mit einer Fülle detaillierter Codebeispiele. Der unverzichtbare Leitfaden für jeden Java-Entwickler und -Programmierer.
Author: Michi Henning Publisher: Pearson Education ISBN: 0672333945 Category : Computers Languages : en Pages : 1413
Book Description
Here is the CORBA book that every C++ software engineer has been waiting for. Advanced CORBA® Programming with C++ provides designers and developers with the tools required to understand CORBA technology at the architectural, design, and source code levels. This book offers hands-on explanations for building efficient applications, as well as lucid examples that provide practical advice on avoiding costly mistakes. With this book as a guide, programmers will find the support they need to successfully undertake industrial-strength CORBA development projects. The content is systematically arranged and presented so the book may be used as both a tutorial and a reference. The rich example programs in this definitive text show CORBA developers how to write clearer code that is more maintainable, portable, and efficient. The authors' detailed coverage of the IDL-to-C++ mapping moves beyond the mechanics of the APIs to discuss topics such as potential pitfalls and efficiency. An in-depth presentation of the new Portable Object Adapter (POA) explains how to take advantage of its numerous features to create scalable and high-performance servers. In addition, detailed discussion of advanced topics, such as garbage collection and multithreading, provides developers with the knowledge they need to write commercial applications. Other highlights In-depth coverage of IDL, including common idioms and design trade-offs Complete and detailed explanations of the Life Cycle, Naming, Trading, and Event Services Discussion of IIOP and implementation repositories Insight into the dynamic aspects of CORBA, such as dynamic typing and the new DynAny interfaces Advice on selecting appropriate application architectures and designs Detailed, portable, and vendor-independent source code
Author: Robert Nystrom Publisher: Genever Benning ISBN: 0990582949 Category : Computers Languages : en Pages : 1021
Book Description
Despite using them every day, most software engineers know little about how programming languages are designed and implemented. For many, their only experience with that corner of computer science was a terrifying "compilers" class that they suffered through in undergrad and tried to blot from their memory as soon as they had scribbled their last NFA to DFA conversion on the final exam. That fearsome reputation belies a field that is rich with useful techniques and not so difficult as some of its practitioners might have you believe. A better understanding of how programming languages are built will make you a stronger software engineer and teach you concepts and data structures you'll use the rest of your coding days. You might even have fun. This book teaches you everything you need to know to implement a full-featured, efficient scripting language. You'll learn both high-level concepts around parsing and semantics and gritty details like bytecode representation and garbage collection. Your brain will light up with new ideas, and your hands will get dirty and calloused. Starting from main(), you will build a language that features rich syntax, dynamic typing, garbage collection, lexical scope, first-class functions, closures, classes, and inheritance. All packed into a few thousand lines of clean, fast code that you thoroughly understand because you wrote each one yourself.
Author: Andrew Collette Publisher: "O'Reilly Media, Inc." ISBN: 149194501X Category : Computers Languages : en Pages : 152
Book Description
Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Through real-world examples and practical exercises, you’ll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Python 2 and Python 3. If you’re familiar with the basics of Python data analysis, this is an ideal introduction to HDF5. Get set up with HDF5 tools and create your first HDF5 file Work with datasets by learning the HDF5 Dataset object Understand advanced features like dataset chunking and compression Learn how to work with HDF5’s hierarchical structure, using groups Create self-describing files by adding metadata with HDF5 attributes Take advantage of HDF5’s type system to create interoperable files Express relationships among data with references, named types, and dimension scales Discover how Python mechanisms for writing parallel code interact with HDF5
Author: Liam E. Gumley
Author: Liam E. Gumley
Author: Kenneth P. Bowman
Author: Michael Galloy
Author: Ronn Kling
Author: David W. Fanning
Author: Morton J. Canty
Author: Gerald Brose
Author: Michi Henning
Author: Robert Nystrom
Author: Andrew Collette