How to Install and Uninstall python3-tables-dbg Package on Ubuntu 21.10 (Impish Indri)
Last updated: December 28,2024
1. Install "python3-tables-dbg" package
Here is a brief guide to show you how to install python3-tables-dbg on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
python3-tables-dbg
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2. Uninstall "python3-tables-dbg" package
Here is a brief guide to show you how to uninstall python3-tables-dbg on Ubuntu 21.10 (Impish Indri):
$
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 21.10 (Impish Indri)
Package: python3-tables-dbg
Architecture: amd64
Version: 3.6.1-3
Priority: extra
Section: universe/debug
Source: pytables
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 12046
Depends: python3-dbg (<< 3.10), python3-dbg (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, libblosc1 (>= 1.20.1+ds1), libbz2-1.0, libc6 (>= 2.14), libhdf5-103-1, liblzo2-2 (>= 2.02), python3-numpy-dbg, python3-numexpr-dbg, python3-tables (= 3.6.1-3), python3-tables-lib (= 3.6.1-3)
Suggests: python3-netcdf4, python-tables-doc
Filename: pool/universe/p/pytables/python3-tables-dbg_3.6.1-3_amd64.deb
Size: 4124584
MD5sum: bb07119cda3ce815985904e3f1d00247
SHA1: d3460376ffb3f5b33c25e68f8a9dd413c7f6c8b0
SHA256: 7d3f82cc3f3506c7e025b0bd3c89aad083886f23e229f9c4252662f11de8a6b0
SHA512: 0650e34183c1cce1a359ed7235733827b9a919a849a1241c343a1f4b00bc233a492bc2ebd35737622674d0964eb06afe0aa5ad50698b6211f364732ab14286c7
Homepage: https://www.pytables.org
Description-en: hierarchical database for Python 3 based on HDF5 (debug 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 debug interpreter.
Description-md5: 70c508b1dfa685378a7df903f4ee3dcc
Build-Ids: 03a5be0c89d0af1457d02c8c3686064927d3a777 042c7e49fd788fddea4f7c68187ac7c0b8ea5371 7587482980085ab5b467a727e37b4801a501bdef 791c36a89f74e42872c8bca5dc351171e9e8bef6 89d9dbd07a6b5c0a4ccc5e5aaa84cf042ccb8225 8f3a971cc955cfb70d7bd14feb12af2a076817c5 ced6bb82d7fb14cdba2fd3956addb802ec17d34d f68690c8990aa2b8617de999c2e4226a64defb8a
Architecture: amd64
Version: 3.6.1-3
Priority: extra
Section: universe/debug
Source: pytables
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 12046
Depends: python3-dbg (<< 3.10), python3-dbg (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, libblosc1 (>= 1.20.1+ds1), libbz2-1.0, libc6 (>= 2.14), libhdf5-103-1, liblzo2-2 (>= 2.02), python3-numpy-dbg, python3-numexpr-dbg, python3-tables (= 3.6.1-3), python3-tables-lib (= 3.6.1-3)
Suggests: python3-netcdf4, python-tables-doc
Filename: pool/universe/p/pytables/python3-tables-dbg_3.6.1-3_amd64.deb
Size: 4124584
MD5sum: bb07119cda3ce815985904e3f1d00247
SHA1: d3460376ffb3f5b33c25e68f8a9dd413c7f6c8b0
SHA256: 7d3f82cc3f3506c7e025b0bd3c89aad083886f23e229f9c4252662f11de8a6b0
SHA512: 0650e34183c1cce1a359ed7235733827b9a919a849a1241c343a1f4b00bc233a492bc2ebd35737622674d0964eb06afe0aa5ad50698b6211f364732ab14286c7
Homepage: https://www.pytables.org
Description-en: hierarchical database for Python 3 based on HDF5 (debug 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 debug interpreter.
Description-md5: 70c508b1dfa685378a7df903f4ee3dcc
Build-Ids: 03a5be0c89d0af1457d02c8c3686064927d3a777 042c7e49fd788fddea4f7c68187ac7c0b8ea5371 7587482980085ab5b467a727e37b4801a501bdef 791c36a89f74e42872c8bca5dc351171e9e8bef6 89d9dbd07a6b5c0a4ccc5e5aaa84cf042ccb8225 8f3a971cc955cfb70d7bd14feb12af2a076817c5 ced6bb82d7fb14cdba2fd3956addb802ec17d34d f68690c8990aa2b8617de999c2e4226a64defb8a