How to Install and Uninstall python3-zarr Package on Kali Linux

Last updated: December 23,2024

1. Install "python3-zarr" package

In this section, we are going to explain the necessary steps to install python3-zarr on Kali Linux


    
        
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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 step by step instructions below to uninstall python3-zarr on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-zarr
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-zarr package on Kali Linux

Package: python3-zarr
Source: zarr
Version: 2.16.1+ds-2
Installed-Size: 7089
Maintainer: Debian Science Maintainers
Architecture: all
Depends: python3-asciitree, python3-fasteners, python3-numcodecs, python3-numpy, python3:any, libjs-sphinxdoc (>= 5.2), python3-sphinx-copybutton, python3-pydata-sphinx-theme
Recommends: python3-fsspec
Suggests: python3-h5py, jupyter-notebook
Size: 1311076
SHA256: e0f7c50c84c22d57355b9bdf407fdfbc8b2dbdd845af00329701e3430dbe3c6f
SHA1: 014d61a368bb020715912747b310d4775f5b6bea
MD5sum: 36f8e5835bf3dccbd853562f603b8e97
Description: 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:
Homepage: https://github.com/zarr-developers/zarr-python
Section: python
Priority: optional
Filename: pool/main/z/zarr/python3-zarr_2.16.1+ds-2_all.deb