How to Install and Uninstall python3-tables-dbg Package on Ubuntu 16.04 LTS (Xenial Xerus)
Last updated: November 26,2024
1. Install "python3-tables-dbg" package
Please follow the steps below to install python3-tables-dbg on Ubuntu 16.04 LTS (Xenial Xerus)
$
sudo apt update
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$
sudo apt install
python3-tables-dbg
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2. Uninstall "python3-tables-dbg" package
This tutorial shows how to uninstall python3-tables-dbg on Ubuntu 16.04 LTS (Xenial Xerus):
$
sudo apt remove
python3-tables-dbg
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-tables-dbg package on Ubuntu 16.04 LTS (Xenial Xerus)
Package: python3-tables-dbg
Priority: extra
Section: universe/debug
Installed-Size: 1547
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: pytables
Version: 3.2.2-2
Depends: python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-dbg (<< 3.6), python3-dbg (>= 3.5~), libbz2-1.0, libc6 (>= 2.14), libhdf5-10, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1v5, zlib1g (>= 1:1.1.4), python3-tables (= 3.2.2-2), python3-tables-lib (= 3.2.2-2), python3-numpy-dbg, python3-numexpr-dbg
Suggests: python-tables-doc, python-netcdf
Filename: pool/universe/p/pytables/python3-tables-dbg_3.2.2-2_amd64.deb
Size: 446100
MD5sum: df19b979f95de21634cec7cfa99f2fcc
SHA1: f8674f8bb1f3fe9a3c211943d2fa72fe7b3bf18b
SHA256: f409a79ad020ad4644b5b164a858dcbcaefc39789653cba1d77a7a1e927231e0
Description-en: hierarchical database for Python 3 based on HDF5 (debug extension)
PyTables is a hierarchical database package designed to efficiently
manage very large amounts of data. PyTables is built on top of the
HDF5 library and the NumPy package. It features an object-oriented
interface that, combined with natural naming and C-code generated
from Pyrex sources, makes it a fast, yet extremely easy to use tool
for interactively save and retrieve large amounts of data.
.
- 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, Numeric and numarray objects.
.
This package contains the extension built for the Python 3 debug interpreter.
Description-md5: d415fd5642fd352747737b73a60bee32
Homepage: http://www.pytables.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Priority: extra
Section: universe/debug
Installed-Size: 1547
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: pytables
Version: 3.2.2-2
Depends: python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-dbg (<< 3.6), python3-dbg (>= 3.5~), libbz2-1.0, libc6 (>= 2.14), libhdf5-10, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1v5, zlib1g (>= 1:1.1.4), python3-tables (= 3.2.2-2), python3-tables-lib (= 3.2.2-2), python3-numpy-dbg, python3-numexpr-dbg
Suggests: python-tables-doc, python-netcdf
Filename: pool/universe/p/pytables/python3-tables-dbg_3.2.2-2_amd64.deb
Size: 446100
MD5sum: df19b979f95de21634cec7cfa99f2fcc
SHA1: f8674f8bb1f3fe9a3c211943d2fa72fe7b3bf18b
SHA256: f409a79ad020ad4644b5b164a858dcbcaefc39789653cba1d77a7a1e927231e0
Description-en: hierarchical database for Python 3 based on HDF5 (debug extension)
PyTables is a hierarchical database package designed to efficiently
manage very large amounts of data. PyTables is built on top of the
HDF5 library and the NumPy package. It features an object-oriented
interface that, combined with natural naming and C-code generated
from Pyrex sources, makes it a fast, yet extremely easy to use tool
for interactively save and retrieve large amounts of data.
.
- 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, Numeric and numarray objects.
.
This package contains the extension built for the Python 3 debug interpreter.
Description-md5: d415fd5642fd352747737b73a60bee32
Homepage: http://www.pytables.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu