How to Install and Uninstall python3-lazyarray.noarch Package on Fedora 36
Last updated: November 27,2024
1. Install "python3-lazyarray.noarch" package
Here is a brief guide to show you how to install python3-lazyarray.noarch on Fedora 36
$
sudo dnf update
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$
sudo dnf install
python3-lazyarray.noarch
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2. Uninstall "python3-lazyarray.noarch" package
Learn how to uninstall python3-lazyarray.noarch on Fedora 36:
$
sudo dnf remove
python3-lazyarray.noarch
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$
sudo dnf autoremove
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3. Information about the python3-lazyarray.noarch package on Fedora 36
Last metadata expiration check: 1:45:20 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : python3-lazyarray
Version : 0.5.2
Release : 1.fc36
Architecture : noarch
Size : 26 k
Source : python-lazyarray-0.5.2-1.fc36.src.rpm
Repository : fedora
Summary : A lazily-evaluated numerical array class
URL : https://github.com/NeuralEnsemble/lazyarray
License : BSD
Description : lazyarray is a Python package that provides a lazily-evaluated numerical array
: class, larray, based on and compatible with NumPy arrays.
:
: Lazy evaluation means that any operations on the array (potentially including
: array construction) are not performed immediately, but are delayed until
: evaluation is specifically requested. Evaluation of only parts of the array is
: also possible.
:
: Use of an larray can potentially save considerable computation time and
: memory in cases where:
:
: • arrays are used conditionally (i.e. there are cases in which the array is
: never used)
: • only parts of an array are used (for example in distributed computation,
: in which each MPI node operates on a subset of the elements of the array)
:
: Documentation: http://lazyarray.readthedocs.org
Available Packages
Name : python3-lazyarray
Version : 0.5.2
Release : 1.fc36
Architecture : noarch
Size : 26 k
Source : python-lazyarray-0.5.2-1.fc36.src.rpm
Repository : fedora
Summary : A lazily-evaluated numerical array class
URL : https://github.com/NeuralEnsemble/lazyarray
License : BSD
Description : lazyarray is a Python package that provides a lazily-evaluated numerical array
: class, larray, based on and compatible with NumPy arrays.
:
: Lazy evaluation means that any operations on the array (potentially including
: array construction) are not performed immediately, but are delayed until
: evaluation is specifically requested. Evaluation of only parts of the array is
: also possible.
:
: Use of an larray can potentially save considerable computation time and
: memory in cases where:
:
: • arrays are used conditionally (i.e. there are cases in which the array is
: never used)
: • only parts of an array are used (for example in distributed computation,
: in which each MPI node operates on a subset of the elements of the array)
:
: Documentation: http://lazyarray.readthedocs.org