PyProcess | Generate stochastic processes using Python | Analytics library

by CamDavidsonPilon Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | PyProcess Summary

PyProcess is a Python library typically used in Analytics, OpenCV, Numpy, WebGL applications. PyProcess has no bugs, it has no vulnerabilities and it has low support. However PyProcess build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Generate stochastic processes using Python. Unfortunately not maintained any longer =(

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Quality

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Support

PyProcess has a low active ecosystem.

It has 110 star(s) with 45 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PyProcess is current.

Quality

PyProcess has 0 bugs and 0 code smells.

Security

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

PyProcess code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PyProcess 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

PyProcess releases are not available. You will need to build from source code and install.

PyProcess has no build file. You will be need to create the build yourself to build the component from source.

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

PyProcess saves you 548 person hours of effort in developing the same functionality from scratch.

It has 1282 lines of code, 192 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Calculate the mean number of simulations .
Sample the position at t .
Generate sample path .
Generate a random path .
Perform Euler scheme
Function to create a bridge .
Generate sample path based on absorption .
Compute rvs .
Calculates expected value .
Sample jump times .

Get all kandi verified functions for this library.

PyProcess Key Features

No Key Features are available at this moment for PyProcess.

PyProcess Examples and Code Snippets

No Code Snippets are available at this moment for PyProcess.

Community Discussions

Trending Discussions on PyProcess

/bin/sh: 1 : conda: not found error when executing a conda run command through a nodejs script using pm2

QUESTION

/bin/sh: 1 : conda: not found error when executing a conda run command through a nodejs script using pm2

Asked 2022-Apr-02 at 22:03

Introduction

I am running a nodejs server in the production environment using pm2. The javascript file a python script upon a prompt using the conda run method. This command errors out with the following message: /bin/sh: 1: conda: not found. However, running the same js file using npx nodemon or simply node works well without any errors.

Detailed Description

The javascript file is as follows

...

ANSWER

Answered 2022-Apr-02 at 19:42

Solution

Just removed the sudo privilege for the pm2 command and the code started working again.

Source https://stackoverflow.com/questions/71692744

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

Vulnerabilities

No vulnerabilities reported

Install PyProcess

You can download it from GitHub.
You can use PyProcess 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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