How to Install and Uninstall python3-tables Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 22,2024
1. Install "python3-tables" package
Please follow the steps below to install python3-tables on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
python3-tables
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2. Uninstall "python3-tables" package
This is a short guide on how to uninstall python3-tables on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-tables
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-tables package on Ubuntu 21.10 (Impish Indri)
Package: python3-tables
Architecture: all
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: 2841
Depends: python3-numexpr, python3-numpy, python3:any, python-tables-data (= 3.6.1-3), python3-tables-lib (>= 3.6.1-3), python3-tables-lib (<< 3.6.1-3.1~)
Suggests: python3-netcdf4, python-tables-doc (>> 3.4.2-3), vitables
Breaks: python-tables (<< 3.4.2-1)
Replaces: python-tables (<< 3.4.2-1)
Filename: pool/universe/p/pytables/python3-tables_3.6.1-3_all.deb
Size: 333208
MD5sum: 6e75946c4169859023eb2dd7a92129b7
SHA1: a28e0ab1e9b95390bb606132a467e737a4050d5d
SHA256: 6397c2420d916f0679420f4606bbfc32f9859506f0a7912a5019380255d79b8f
SHA512: 57dc7a14f9f1afcf0b34152e841d97c6cac3b6cfbeab5906a443b0b69183d99a2c60cd849f8a8a5a16926cdf3d857c7333b475d785fea266284d6c3bba5d4ca7
Homepage: https://www.pytables.org
Description-en: hierarchical database for Python3 based on HDF5
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 is the Python 3 version of the package.
Description-md5: 80c24eb633945481ef3d845b6990e596
Architecture: all
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: 2841
Depends: python3-numexpr, python3-numpy, python3:any, python-tables-data (= 3.6.1-3), python3-tables-lib (>= 3.6.1-3), python3-tables-lib (<< 3.6.1-3.1~)
Suggests: python3-netcdf4, python-tables-doc (>> 3.4.2-3), vitables
Breaks: python-tables (<< 3.4.2-1)
Replaces: python-tables (<< 3.4.2-1)
Filename: pool/universe/p/pytables/python3-tables_3.6.1-3_all.deb
Size: 333208
MD5sum: 6e75946c4169859023eb2dd7a92129b7
SHA1: a28e0ab1e9b95390bb606132a467e737a4050d5d
SHA256: 6397c2420d916f0679420f4606bbfc32f9859506f0a7912a5019380255d79b8f
SHA512: 57dc7a14f9f1afcf0b34152e841d97c6cac3b6cfbeab5906a443b0b69183d99a2c60cd849f8a8a5a16926cdf3d857c7333b475d785fea266284d6c3bba5d4ca7
Homepage: https://www.pytables.org
Description-en: hierarchical database for Python3 based on HDF5
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 is the Python 3 version of the package.
Description-md5: 80c24eb633945481ef3d845b6990e596