ppft | distributed and parallel python

by uqfoundation Python Version: 1.7.6.8 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | ppft Summary

ppft is a Python library. ppft has no bugs, it has no vulnerabilities, it has build file available and it has low support. However ppft has a Non-SPDX License. You can install using 'pip install ppft' or download it from GitHub, PyPI.

`ppft` is a fork of Parallel Python, and is developed as part of `pathos`: Parallel Python module (`pp`) provides an easy and efficient way to create parallel-enabled applications for SMP computers and clusters. `pp` module features cross-platform portability and dynamic load balancing. Thus application written with `pp` will parallelize efficiently even on heterogeneous and multi-platform clusters (including clusters running other application with variable CPU loads). Visit for further information. `ppft` is part of `pathos`, a python framework for heterogeneous computing. `ppft` is in active development, so any user feedback, bug reports, comments, or suggestions are highly appreciated. A list of issues is located at with a legacy list maintained at

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Quality

Security

License

Reuse

Support

ppft has a low active ecosystem.

It has 59 star(s) with 12 fork(s). There are 8 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 6 open issues and 35 have been closed. On average issues are closed in 345 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ppft is 1.7.6.8

Quality

ppft has 0 bugs and 0 code smells.

Security

ppft has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ppft code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ppft has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

ppft releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

ppft saves you 1464 person hours of effort in developing the same functionality from scratch.

It has 3267 lines of code, 196 functions and 29 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ppft and discovered the below as its top functions. This is intended to give you an instant insight into ppft implemented functionality, and help decide if they suit your requirements.

Submit a function to the server
Find all the modules in a dictionary
Dumps functions into a pickle
Get the source for a function
Create a network server
Parse the configuration file
Print usage information
Broadcast the device
Send a control message
Inserts a task into the scheduler
Get the stats from the worker
Add a value to the connection
Run the function
Execute a local task
Connect to one host
Run a remote task
Receive messages from the broker
Write info file
Receive packets
Get the README as rst file
Print the job execution statistics
Set worker number
Send broadcast to server
Parses a msgpack into a python object
Start listening for events
Get the license text

Get all kandi verified functions for this library.

ppft Key Features

No Key Features are available at this moment for ppft.

ppft Examples and Code Snippets

No Code Snippets are available at this moment for ppft.

Community Discussions

Trending Discussions on ppft

Pathos "Error has occured during the function import"

Trouble installing turbodbc

QUESTION

Pathos "Error has occured during the function import"

Asked 2021-Dec-16 at 16:00

When I try to execute this code:

...

ANSWER

Answered 2021-Dec-16 at 16:00

I'm the pathos author. First off, you are using a ParallelPool, which uses ppft... which uses dill.source to convert objects to source code, and then passes the source code to the new process to then build a new object and execute. You may want to try a ProcessPool, which uses multiprocess, which uses dill, which uses a more standard serialization of objects (like pickle). Also, when you are serializing code (either with dill or dill.source) you should take care to make sure the code is as self-encapsulated as possible. What I mean is that:

Source https://stackoverflow.com/questions/70365267

QUESTION

Trouble installing turbodbc

Asked 2021-Jan-11 at 20:49

I am attempting to install turbodbc on my Ubuntu 20.10 machine.
My specs are as follows: pip 20.2.4, Python 3.8.5 , gcc (Ubuntu 10.2.0-13ubuntu1) 10.2.0

I have attempted the solutions provided in the previous posts here and and here.

I am getting this error message

...

ANSWER

Answered 2021-Jan-11 at 20:49

Boost is not installed. You can try this

Source https://stackoverflow.com/questions/65674126

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ppft

You can install using 'pip install ppft' or download it from GitHub, PyPI.
You can use ppft like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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