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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 64-bit offset format was introduced in version 3.6.0, and it supports larger variable and file sizes. The netCDF-4/HDF5 format was introduced in version 4.0; it is the HDF5 data format, with some restrictions. The HDF4 SD format is supported for read-only access. The CDF5 format is supported, in coordination with the parallel-netcdf project.
Anaconda, Inc. compiles and builds the packages available in the Anaconda repository itself, and provides binaries for Windows 32/64 bit, Linux 64 bit and MacOS 64-bit (Intel, Apple Silicon). Anything available on PyPI may be installed into a Conda environment using pip, and Conda will keep track of what it has installed and what pip has installed.
HDF Explorer is a data visualization program that reads the HDF, HDF5 and netCDF data file formats. It runs in the Microsoft Windows operating systems. HDF Explorer was developed by Space Research Software, LLC , headquartered in Urbana - Champaign , Illinois.
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 .
Windows, ReactOS, HX DOS Extender, BeOS (R3 only).EXE: Yes by file Yes Yes Yes [5] Yes Yes No Only MZ (DOS) [6] Yes PE32+ Windows (64-bit editions only).EXE: Yes by file Yes Yes Yes Yes Yes Yes "Compiled Hybrid Portable Executable" Yes Mach-O [7] NeXTSTEP, macOS, iOS, watchOS, tvOS: none Yes by section Some (limited to max. 256 sections) Yes ...
XDMF (eXtensible Data Model and Format) provides a standard way to access data produced by HPC codes. [1] Data format refers to the raw data to be manipulated, the description of the data is separate from the values themselves.
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.