How to Install and Uninstall python3-tables-lib Package on Kali Linux

Last updated: May 15,2024

1. Install "python3-tables-lib" package

In this section, we are going to explain the necessary steps to install python3-tables-lib on Kali Linux

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

2. Uninstall "python3-tables-lib" package

Please follow the step by step instructions below to uninstall python3-tables-lib on Kali Linux:

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

3. Information about the python3-tables-lib package on Kali Linux

Package: python3-tables-lib
Source: pytables (3.7.0-10)
Version: 3.7.0-10+b1
Installed-Size: 2731
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, libblosc1 (>= 1.7.0), libbz2-1.0, libc6 (>= 2.34), libhdf5-103-1, liblzo2-2 (>= 2.02)
Recommends: python3-tables (= 3.7.0-10)
Size: 673760
SHA256: 9d250fc20b379a731c4999c11d0177b9c5d472c8aef7ddcc084aa031898553c3
SHA1: 0b172a0702f96ef895d460d00879464f63560b55
MD5sum: af778014b10527ff86b6af3d487d35bf
Description: 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:
Homepage: https://www.pytables.org
Section: python
Priority: optional
Filename: pool/main/p/pytables/python3-tables-lib_3.7.0-10+b1_amd64.deb