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

Last updated: May 15,2024

1. Install "python3-tables-lib" package

Here is a brief guide to show you how to install python3-tables-lib on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install python3-tables-lib

2. Uninstall "python3-tables-lib" package

This tutorial shows how to uninstall python3-tables-lib on Ubuntu 20.10 (Groovy Gorilla):

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

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

Package: python3-tables-lib
Architecture: amd64
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: 1711
Depends: python3 (<< 3.9), python3 (>= 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)
Recommends: python3-tables (= 3.6.1-2build2)
Filename: pool/universe/p/pytables/python3-tables-lib_3.6.1-2build2_amd64.deb
Size: 500772
MD5sum: b59c00eeebcb2209f4cd44246085e629
SHA1: 2017a9f757eb415ce511096990ffe096a690e51e
SHA256: e0845ed3f7a7b7fce2cecbebb13cad3c37ea7460feb182ecc7331339466f73a2
SHA512: a141fdf38c67da81e61ee6986e09dbc6479fe627b9e57d57fd9ebd61f0876c37e698fe30e0f6fa82031f26512cbd0d4a765e9bebede18a1ea93fccc78419c87a
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