pyscheduler | Create scheduled tasks at runtime

by baranbartu Python Version: Current License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pyscheduler Summary

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

Create scheduled tasks at runtime easily.

Support

Quality

Security

License

Reuse

Support

pyscheduler has a low active ecosystem.

It has 46 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 1538 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyscheduler is current.

Quality

pyscheduler has 0 bugs and 0 code smells.

Security

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

pyscheduler code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyscheduler is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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.

pyscheduler saves you 26 person hours of effort in developing the same functionality from scratch.

It has 72 lines of code, 9 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Start the scheduler
Decorator to log a function
Return a crontab crontab cron tasks

Get all kandi verified functions for this library.

pyscheduler Key Features

No Key Features are available at this moment for pyscheduler.

pyscheduler Examples and Code Snippets

Example

Python

Lines of Code : 7

License : Permissive (MIT)

Copy

from pyscheduler import schedule

# crawl_task runs in every 2 minutes
@schedule('*/2 * * * *')
def crawl_task():
    print 'crawl task'

Installation

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

pip install python-scheduler

Community Discussions

Trending Discussions on pyscheduler

AttributeError: object has no attribute in for loop

QUESTION

AttributeError: object has no attribute in for loop

Asked 2022-Jan-08 at 21:06

In my simulation of a FIFO algorithm, I am currently trying to create an object for each of the seven simulated tasks, which will later be used to display some time parameters graphically in Excel. So I create all objects in a for loop, and in another one, I execute with each of these objects the corresponding function for transfer to Excel in another class.

But in the second for loop I always get the error message

...

ANSWER

Answered 2022-Jan-08 at 21:06

It's looking up the worksheet1 attribute because you told it to:

Source https://stackoverflow.com/questions/70635748

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

Vulnerabilities

No vulnerabilities reported

Install pyscheduler

You can install using 'pip install pyscheduler' or download it from GitHub, PyPI.
You can use pyscheduler 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 .

Find more information at: