How to Install and Uninstall python3-ppft Package on Kali Linux
Last updated: November 24,2024
1. Install "python3-ppft" package
Please follow the steps below to install python3-ppft on Kali Linux
$
sudo apt update
Copied
$
sudo apt install
python3-ppft
Copied
2. Uninstall "python3-ppft" package
In this section, we are going to explain the necessary steps to uninstall python3-ppft on Kali Linux:
$
sudo apt remove
python3-ppft
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the python3-ppft package on Kali Linux
Package: python3-ppft
Source: ppft
Version: 1.7.6.8+dfsg-1
Installed-Size: 157
Maintainer: Debian Python Team
Architecture: all
Depends: python3:any
Size: 25268
SHA256: b347720b8d2a01bfff6af60ff467bed21a32153dc5fff8a610c4f491a15c780c
SHA1: 68a17608f4f0d087a3e512959942f205ef5acf1a
MD5sum: 781ec2101a62b51df98de9b5e9f46792
Description: Distributed and parallel Python
ppft is a friendly fork of Parallel Python. It provides:
.
* parallel execution of Python code on SMP and clusters
* easy-to-understand job-based parallelization
* automatic detection of the number of effective processors
* dynamic processor allocation (at runtime)
* low overhead for jobs with the same function (through transparent caching)
* dynamic load balancing (jobs are distributed at runtime)
* fault-tolerance (if a node fails, tasks are rescheduled on the others)
* auto-discovery of computational resources
* dynamic allocation of computational resources
* SHA based authentication for network connections
* enhanced serialization, using dill.source
.
ppft is part of pathos, a Python framework for heterogeneous computing.
Description-md5:
Homepage: https://github.com/uqfoundation/ppft
Section: python
Priority: optional
Filename: pool/main/p/ppft/python3-ppft_1.7.6.8+dfsg-1_all.deb
Source: ppft
Version: 1.7.6.8+dfsg-1
Installed-Size: 157
Maintainer: Debian Python Team
Architecture: all
Depends: python3:any
Size: 25268
SHA256: b347720b8d2a01bfff6af60ff467bed21a32153dc5fff8a610c4f491a15c780c
SHA1: 68a17608f4f0d087a3e512959942f205ef5acf1a
MD5sum: 781ec2101a62b51df98de9b5e9f46792
Description: Distributed and parallel Python
ppft is a friendly fork of Parallel Python. It provides:
.
* parallel execution of Python code on SMP and clusters
* easy-to-understand job-based parallelization
* automatic detection of the number of effective processors
* dynamic processor allocation (at runtime)
* low overhead for jobs with the same function (through transparent caching)
* dynamic load balancing (jobs are distributed at runtime)
* fault-tolerance (if a node fails, tasks are rescheduled on the others)
* auto-discovery of computational resources
* dynamic allocation of computational resources
* SHA based authentication for network connections
* enhanced serialization, using dill.source
.
ppft is part of pathos, a Python framework for heterogeneous computing.
Description-md5:
Homepage: https://github.com/uqfoundation/ppft
Section: python
Priority: optional
Filename: pool/main/p/ppft/python3-ppft_1.7.6.8+dfsg-1_all.deb