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

Last updated: May 18,2024

1. Install "python3-tables" package

Please follow the steps below to install python3-tables on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install python3-tables

2. Uninstall "python3-tables" package

This guide let you learn how to uninstall python3-tables on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove python3-tables $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-tables package on Ubuntu 20.10 (Groovy Gorilla)

Package: python3-tables
Architecture: all
Version: 3.6.1-2build2
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 (= 3.6.1-2build2), python3-tables-lib (>= 3.6.1-2build2), python3-tables-lib (<< 3.6.1-2build2.1~)
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_3.6.1-2build2_all.deb
Size: 333060
MD5sum: 889e28061c30dabbd05bea250db059a1
SHA1: c488db7160667c5fd095f7b3f66009eaa35060e9
SHA256: a57ddfa86e002a59e7a9769048f63e02436901392d308193c83a69dbb437faa6
SHA512: d1fd8ef86196e0ee8d5f58a2cf266197a5d079308dca7654c34991a6da7eccbad5511fccaba682c97f05abbadc8782df24869ebc6da53b13a7f1a4cb36db026f
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