How to Install and Uninstall libnetcdf-fortran_4_5_3-gnu-hpc Package on openSuSE Tumbleweed

Last updated: May 06,2024

1. Install "libnetcdf-fortran_4_5_3-gnu-hpc" package

Here is a brief guide to show you how to install libnetcdf-fortran_4_5_3-gnu-hpc on openSuSE Tumbleweed

$ sudo zypper refresh $ sudo zypper install libnetcdf-fortran_4_5_3-gnu-hpc

2. Uninstall "libnetcdf-fortran_4_5_3-gnu-hpc" package

Learn how to uninstall libnetcdf-fortran_4_5_3-gnu-hpc on openSuSE Tumbleweed:

$ sudo zypper remove libnetcdf-fortran_4_5_3-gnu-hpc

3. Information about the libnetcdf-fortran_4_5_3-gnu-hpc package on openSuSE Tumbleweed

Information for package libnetcdf-fortran_4_5_3-gnu-hpc:
--------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libnetcdf-fortran_4_5_3-gnu-hpc
Version : 4.5.3-5.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 657.3 KiB
Installed : No
Status : not installed
Source package : netcdf-fortran_4_5_3-gnu-hpc-4.5.3-5.2.src
Upstream URL : https://www.unidata.ucar.edu/software/netcdf/
Summary : Shared libraries for the NetCDF scientific data format
Description :
NetCDF is a set of software libraries and self-describing,
machine-independent data formats that support the creation, access,
and sharing of array-oriented scientific data.
NetCDF (network Common Data Form) is an interface for array-oriented
data access and a collection of software libraries
for C, Fortran, C++, and Perl that provides an implementation of the
interface. The NetCDF library also defines a machine-independent
format for representing scientific data. Together, the interface,
library, and format support the creation, access, and sharing of
scientific data.
NetCDF data is:
- Self-Describing: A NetCDF file includes information about the
data it contains.
- Network-transparent: A NetCDF file is represented in a form that
can be accessed by computers with different ways of storing
integers, characters, and floating-point numbers.
- Direct-access: A small subset of a large dataset may be accessed
efficiently, without first reading through all the preceding
data.
- Appendable: Data can be appended to a NetCDF dataset along one
dimension without copying the dataset or redefining its
structure. The structure of a NetCDF dataset can be changed,
though this sometimes causes the dataset to be copied.
- Sharable: One writer and multiple readers may simultaneously
access the same NetCDF file.
This package contains all files needed to create projects that use
NetCDF.