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  2. Hierarchical Data Format - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_Data_Format

    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.

  3. NetCDF - Wikipedia

    en.wikipedia.org/wiki/NetCDF

    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.

  4. XDMF - Wikipedia

    en.wikipedia.org/wiki/XDMF

    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.

  5. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Open source packages can be individually installed from the Anaconda repository, [45] Anaconda Cloud (anaconda.org), or the user's own private repository or mirror, using the conda install command. Anaconda, Inc. compiles and builds the packages available in the Anaconda repository itself, and provides binaries for Windows 32 / 64 bit , Linux ...

  6. Conda (package manager) - Wikipedia

    en.wikipedia.org/wiki/Conda_(Package_Manager)

    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 .

  7. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    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]

  8. HDF Explorer - Wikipedia

    en.wikipedia.org/wiki/HDF_Explorer

    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.

  9. GrADS - Wikipedia

    en.wikipedia.org/wiki/GrADS

    The Grid Analysis and Display System [2] (GrADS) is an interactive desktop tool that is used for easy access, manipulation, and visualization of earth science data. The format of the data may be either binary, GRIB, NetCDF, or HDF-SDS (Scientific Data Sets).