How to Install and Uninstall python3-zarr Package on Ubuntu 21.10 (Impish Indri)

Last updated: September 20,2024

1. Install "python3-zarr" package

Please follow the guidelines below to install python3-zarr on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-zarr
            
                    
    
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2. Uninstall "python3-zarr" package

Please follow the instructions below to uninstall python3-zarr on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-zarr
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-zarr package on Ubuntu 21.10 (Impish Indri)

Package: python3-zarr
Architecture: all
Version: 2.6.1+ds-1
Priority: optional
Section: universe/python
Source: zarr
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2960
Depends: python3-asciitree, python3-fasteners, python3-numcodecs, python3-numpy, python3:any, libjs-sphinxdoc (>= 2.4.3-5~), sphinx-rtd-theme-common (>= 0.5.0+dfsg)
Suggests: python3-h5py, jupyter-notebook
Filename: pool/universe/z/zarr/python3-zarr_2.6.1+ds-1_all.deb
Size: 241336
MD5sum: 59ccd768c4dacd2d9ed9758fe16dd5b4
SHA1: 14253b3ba86b747d331eb12a47409c136de4d023
SHA256: ca6388a803f3f9ac3aa25da6807bb7d08f58bc9731e916097a88337c63f78963
SHA512: e11ee098bee76eef4f06f609e52e01a5c1cfaa22667a29033b50051b2ad2d63477cce300ab8b0b93a88135e1eeec55e9823d575fcbf9d87b7969a562d3c690b8
Homepage: https://github.com/zarr-developers/zarr-python
Description-en: chunked, compressed, N-dimensional arrays for Python
Zarr is a Python package providing an implementation of compressed,
chunked, N-dimensional arrays, designed for use in parallel
computing. Some highlights:
.
- Create N-dimensional arrays with any NumPy dtype.
- Chunk arrays along any dimension.
- Compress chunks using the fast Blosc meta-compressor or
alternatively using zlib, BZ2 or LZMA.
- Store arrays in memory, on disk, inside a Zip file, on S3, ...
- Read an array concurrently from multiple threads or processes.
- Write to an array concurrently from multiple threads or processes.
- Organize arrays into hierarchies via groups.
- Use filters to preprocess data and improve compression.
Description-md5: c64a8435acccdbe74e5e892f033e70f0