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Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.
The Parallel-NetCDF package can read/write only classic and 64-bit offset formats. Parallel-NetCDF cannot read or write the HDF5-based format available with netCDF-4.0. The Parallel-NetCDF package uses different, but similar APIs in Fortran and C. Parallel I/O in the Unidata netCDF library has been supported since release 4.0, for HDF5 data files.
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. [2]
Conda is an open source, [16] cross-platform, [17] language-agnostic [18] package manager and environment management system [19] [20] [50] that installs, runs, and updates packages and their dependencies. [16] It was created for Python programs, but it can package and distribute software for any language (e.g., R), including multi-language ...
Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists , and today is a popular package manager for Python and R .
HDF – multi-platform data format for storing multidimensional arrays, among other data structures; HTML/XHTML – markup language for web pages (ISO/IEC 15445:2000) iCalendar – calendar data format; IFC – data model describing building and construction industry data; JSON – object notation, subset of YAML and correct ECMAScript statement
XMDF (eXtensible Model Data Format) is a library providing a standard format for the geometric data storage of river cross-sections, 2D/3D structured and unstructured meshes, geometric paths through space, and associated time data. XMDF uses HDF5 for cross-platform data storage and compression.
Silo is a computer data format and library developed at Lawrence Livermore National Laboratory (LLNL) for storing rectilinear, curvilinear, unstructured, or point meshes in 2D and 3D. It supports data upon those meshes, including scalar, vector, and tensor variables; volume fraction-based materials; and mass fraction-based species.