ISBN: 9798185710494 - the netcdf developer's handbook: the authoritative guide to writing high-performance programs for scientific data management, second edition (4 resultados)

Taschenbuch. Condición: Neu. Neuware.

Paperback. Condición: new. Paperback. Master NetCDF Programming with Complete, Tested Examples - New and Updated Second Edition: NetCDF (Network Common Data Form) is the industry standard for storing and sharing scientific data across climate science, oceanography, atmospheric research, and high-performance computing. Written by Edward Hartnett, co-author of NetCDF, this handbook teaches you NetCDF programming through complete, runnable code examples in C and Fortran 90.The second edition contains a more examples, better explanations, and updated and new diagrams.Why This Book?Official NetCDF documentation excels as an API reference but can be challenging for learning. This handbook provides a progressive, hands-on approach where every concept is demonstrated through working code you can compile and execute immediately. Unlike tutorials that show fragments, every program here is complete, tested, and ready to run.What You'll Learn: Create and read NetCDF files in Classic (CDF-1, CDF-2, CDF-5), NetCDF-4/HDF5, and ncZarr formatsDefine dimensions, variables, and attributes following CF conventionsProgram in C and Fortran 90 with complete API examplesOptimize performance with chunking strategies, compression filters, and cache tuningImplement parallel I/O using MPI for high-performance computingUse command-line tools: ncdump, ncgen, nccopy, and NCO utilitiesApply best practices from 30+ years of NetCDF developmentBook Structure: Foundation (Chapters 1-5): NetCDF data models, binary format variants, installation, and command-line utilitiesProgramming APIs (Chapters 6-8): Complete C API, Fortran 90 API, and Java API with NetCDF-Java library and NcML aggregationAdvanced Features (Chapters 9-11): CF conventions, NetCDF-4/HDF5 performance optimization, and parallel I/O with MPIProduction-Ready Code: All examples include CMake and Autotools build configurations, GitHub Actions CI/CD integration, cross-platform support (Linux, macOS, Windows), and automated test suite. Complete source code available in open-source repository.Who This Book Is For: Climate scientists and researchers managing model output and observational dataHPC developers implementing efficient parallel I/O for large-scale simulationsData engineers building scientific data management pipelinesSoftware developers integrating NetCDF into applicationsStudents and educators learning NetCDF programmingPrerequisites: Basic programming knowledge in C, Fortran, or Java. No prior NetCDF experience required.Technical Coverage: NetCDF Classic and Enhanced data modelsMultiple binary formats: CDF-1, CDF-2, CDF-5, NetCDF-4/HDF5, ncZarrCoordinate variables and CF conventionsUser-defined types: compound, vlen, enum, opaqueGroups and hierarchical data organizationChunking strategies aligned with access patternsCompression filters: deflate, shuffle, szip, zstdFill values and missing data handlingTime encoding with multiple calendar systemsParallel I/O: collective vs. independent modesDomain decomposition for distributed computingNetCDF-Java NcML for virtual datasets and aggregation This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Master NetCDF Programming with Complete, Tested Examples - New and Updated Second Edition: NetCDF (Network Common Data Form) is the industry standard for storing and sharing scientific data across climate science, oceanography, atmospheric research, and high-performance computing. Written by Edward Hartnett, co-author of NetCDF, this handbook teaches you NetCDF programming through complete, runnable code examples in C and Fortran 90.The second edition contains a more examples, better explanations, and updated and new diagrams.Why This Book?Official NetCDF documentation excels as an API reference but can be challenging for learning. This handbook provides a progressive, hands-on approach where every concept is demonstrated through working code you can compile and execute immediately. Unlike tutorials that show fragments, every program here is complete, tested, and ready to run.What You'll Learn: Create and read NetCDF files in Classic (CDF-1, CDF-2, CDF-5), NetCDF-4/HDF5, and ncZarr formatsDefine dimensions, variables, and attributes following CF conventionsProgram in C and Fortran 90 with complete API examplesOptimize performance with chunking strategies, compression filters, and cache tuningImplement parallel I/O using MPI for high-performance computingUse command-line tools: ncdump, ncgen, nccopy, and NCO utilitiesApply best practices from 30+ years of NetCDF developmentBook Structure: Foundation (Chapters 1-5): NetCDF data models, binary format variants, installation, and command-line utilitiesProgramming APIs (Chapters 6-8): Complete C API, Fortran 90 API, and Java API with NetCDF-Java library and NcML aggregationAdvanced Features (Chapters 9-11): CF conventions, NetCDF-4/HDF5 performance optimization, and parallel I/O with MPIProduction-Ready Code: All examples include CMake and Autotools build configurations, GitHub Actions CI/CD integration, cross-platform support (Linux, macOS, Windows), and automated test suite. Complete source code available in open-source repository.Who This Book Is For: Climate scientists and researchers managing model output and observational dataHPC developers implementing efficient parallel I/O for large-scale simulationsData engineers building scientific data management pipelinesSoftware developers integrating NetCDF into applicationsStudents and educators learning NetCDF programmingPrerequisites: Basic programming knowledge in C, Fortran, or Java. No prior NetCDF experience required.Technical Coverage: NetCDF Classic and Enhanced data modelsMultiple binary formats: CDF-1, CDF-2, CDF-5, NetCDF-4/HDF5, ncZarrCoordinate variables and CF conventionsUser-defined types: compound, vlen, enum, opaqueGroups and hierarchical data organizationChunking strategies aligned with access patternsCompression filters: deflate, shuffle, szip, zstdFill values and missing data handlingTime encoding with multiple calendar systemsParallel I/O: collective vs. independent modesDomain decomposition for distributed computingNetCDF-Java NcML for virtual datasets and aggregation This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…