How to Install and Uninstall python3-tables-dbg Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 17,2024

1. Install "python3-tables-dbg" package

This is a short guide on how to install python3-tables-dbg on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-tables-dbg
            
                    
    
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2. Uninstall "python3-tables-dbg" package

Please follow the step by step instructions below to uninstall python3-tables-dbg on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                python3-tables-dbg
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-tables-dbg package on Ubuntu 20.10 (Groovy Gorilla)

Package: python3-tables-dbg
Architecture: amd64
Version: 3.6.1-2build2
Priority: extra
Section: universe/debug
Source: pytables
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 12671
Depends: python3-dbg (<< 3.9), python3-dbg (>= 3.8~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, libblosc1 (>= 1.17.1+ds1), libbz2-1.0, libc6 (>= 2.14), libhdf5-103-1, liblzo2-2 (>= 2.02), python3-numpy-dbg, python3-numexpr-dbg, python3-tables (= 3.6.1-2build2), python3-tables-lib (= 3.6.1-2build2)
Suggests: python3-netcdf4, python-tables-doc
Filename: pool/universe/p/pytables/python3-tables-dbg_3.6.1-2build2_amd64.deb
Size: 4784812
MD5sum: 4e49f2929c390f8eb5ee95f7ade29e6c
SHA1: 0b53ec6fdb68e505b939e4045dcd52c5499dec7b
SHA256: 1c9aa3bf84fa11f15dc8d7984862f4bc2c81b30857da7378c22d00620930c736
SHA512: 5d340000b3ce62aec9b39e0f2b770023deb2a6d173a62f095c1eb15524b7e8a67f675ef003b23fe4234d38ddd3dca965512de1d07ee07cb6f627056644f25aa7
Homepage: https://www.pytables.org
Description-en: hierarchical database for Python 3 based on HDF5 (debug extension)
PyTables is a package for managing hierarchical datasets and designed
to efficiently cope with extremely large amounts of data.
.
It is built on top of the HDF5 library and the NumPy package. It
features an object-oriented interface that, combined with C extensions
for the performance-critical parts of the code (generated using
Cython), makes it a fast, yet extremely easy to use tool for
interactively save and retrieve very large amounts of data. One
important feature of PyTables is that it optimizes memory and disk
resources so that they take much less space (between a factor 3 to 5,
and more if the data is compressible) than other solutions, like for
example, relational or object oriented databases.
.
- Compound types (records) can be used entirely from Python (i.e. it
is not necessary to use C for taking advantage of them).
- The tables are both enlargeable and compressible.
- I/O is buffered, so you can get very fast I/O, specially with
large tables.
- Very easy to select data through the use of iterators over the
rows in tables. Extended slicing is supported as well.
- It supports the complete set of NumPy objects.
.
This package contains the extension built for the Python 3 debug interpreter.
Description-md5: 70c508b1dfa685378a7df903f4ee3dcc
Build-Ids: 3066c52b28f35bc11b6f4c4792f0e12af4cdbbd6 376a6e905682b7d7db4d4a424eb4e7e3287e63e4 732db68a26c172b3e6543087aee32fae72fa34bb b20f660161f0f857d44e10164594cd57a1d349a4 b7acce2f131766c422ed894dba96dc4bc7dadb8c ca9179106a6d6e9c81b8c79e8e904341804122f4 cf99e581bd3f9a9bd04156f5ba8e3ab80ad1f773 ea64f7306cd91f8f1457d6b8c9d25ffc344daf99