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

Last updated: December 28,2024

1. Install "python3-tables-lib" package

Please follow the steps below to install python3-tables-lib on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-tables-lib
            
                    
    
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2. Uninstall "python3-tables-lib" package

This tutorial shows how to uninstall python3-tables-lib on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-tables-lib
            
                    
    
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            $
        

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

Package: python3-tables-lib
Architecture: amd64
Version: 3.6.1-3
Priority: optional
Section: universe/python
Source: pytables
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1411
Depends: python3 (<< 3.10), python3 (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, libblosc1 (>= 1.20.1+ds1), libbz2-1.0, libc6 (>= 2.14), libhdf5-103-1, liblzo2-2 (>= 2.02)
Recommends: python3-tables (= 3.6.1-3)
Filename: pool/universe/p/pytables/python3-tables-lib_3.6.1-3_amd64.deb
Size: 385496
MD5sum: d75f05928721fdc143f25d66ff0e1296
SHA1: 605205b1590c1a37f9bcdfacc6efeb2a70b91223
SHA256: 773f73382626f3bd97a120cec14c6f8f085cc5c190e3088f256a689664c69387
SHA512: fbb9442440c93c28d958a0cfcf21b9411183da4c04eb7119c1c09fc3b3549f6c7ee1bac9782f9e79569536bacb1a34511ac0243142bb3ecee3d55a4ace24b700
Homepage: https://www.pytables.org
Description-en: hierarchical database for Python3 based on HDF5 (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 interpreter.
Description-md5: bf9eb67d4a42df3f4be8497897dea804