How to Install and Uninstall python-tables-doc Package on Ubuntu 21.10 (Impish Indri)

Last updated: September 16,2024

1. Install "python-tables-doc" package

In this section, we are going to explain the necessary steps to install python-tables-doc on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install python-tables-doc

2. Uninstall "python-tables-doc" package

This is a short guide on how to uninstall python-tables-doc on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove python-tables-doc $ sudo apt autoclean && sudo apt autoremove

3. Information about the python-tables-doc package on Ubuntu 21.10 (Impish Indri)

Package: python-tables-doc
Architecture: all
Version: 3.6.1-3
Priority: optional
Section: universe/doc
Source: pytables
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 11191
Depends: libjs-sphinxdoc (>= 2.4.3-5~), sphinx-rtd-theme-common (>= 0.5.0+dfsg), libjs-mathjax, libjs-jquery-cookie
Suggests: xpdf | pdf-viewer, www-browser
Breaks: python-tables (<< 3.4.2-3)
Replaces: python-tables (<< 3.4.2-3)
Filename: pool/universe/p/pytables/python-tables-doc_3.6.1-3_all.deb
Size: 4397216
MD5sum: 0d5776646a46dbf6470d9d214df90a0c
SHA1: 855c3a84b62282a2225f6025594f60985613bd36
SHA256: 86d5ecaf1d816064f694363b3927154bef4d8dfebae8a97742572b682ffdd6a4
SHA512: ce47484a0921764f5b7fbbfd05c806c21e740d8b9f07d3f5962fd66835ef198f1f377cc8a6384d3b2d06f954a1bdbe0f3c00615d592de701045724ea6396aeea
Homepage: https://www.pytables.org
Description-en: hierarchical database for Python based on HDF5 - documentation
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 includes the manual in PDF and HTML formats.
Description-md5: 9a78efe48c4f44dcad2fc946f50d9d37