django-relativedelta | Django field for python-dateutil relativedelta | Application Framework library

by CodeYellowBV Python Version: 2.0.0 License: MIT

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

kandi X-RAY | django-relativedelta Summary

django-relativedelta is a Python library typically used in Server, Application Framework applications. django-relativedelta 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 django-relativedelta' or download it from GitHub, PyPI.

Django field for python-dateutil relativedelta

Support

Quality

Security

License

Reuse

Support

django-relativedelta has a low active ecosystem.

It has 15 star(s) with 15 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 7 have been closed. On average issues are closed in 33 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django-relativedelta is 2.0.0

Quality

django-relativedelta has no bugs reported.

Security

django-relativedelta has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

django-relativedelta 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

django-relativedelta 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.

Top functions reviewed by kandi - BETA

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

Prepare the value for the database
Return a string representation of a relativedelta
Parse a relativedelta
Validate the value
Return the time as a CSV string
Format the value
Parse the value from database value
Format the value as a string
Convert value to a python value

Get all kandi verified functions for this library.

django-relativedelta Key Features

No Key Features are available at this moment for django-relativedelta.

django-relativedelta Examples and Code Snippets

No Code Snippets are available at this moment for django-relativedelta.

Community Discussions

Trending Discussions on Application Framework

What is meant by required-api: param name=”#target” in config.xml file of AGL widgets?

QUESTION

What is meant by required-api: param name=”#target” in config.xml file of AGL widgets?

Asked 2020-Mar-06 at 09:53

I am trying to understand various available AGL specific options that we can give in config.xml and I am referring to the link below

https://docs.automotivelinux.org/docs/en/halibut/apis_services/reference/af-main/2.2-config.xml.html

This is the sample config.xml file

...

ANSWER

Answered 2020-Mar-06 at 09:48

I figured out why we need this

required-api: param name="#target"

OPTIONAL(not compulsory)

It declares the name of the unit(in question it is main) requiring the listed apis. Only one instance of the param “#target” is allowed. When there is not instance of this param, it behave as if the target main was specified.

Source https://stackoverflow.com/questions/60561230

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

Vulnerabilities

No vulnerabilities reported

Install django-relativedelta

You can install using 'pip install django-relativedelta' or download it from GitHub, PyPI.
You can use django-relativedelta 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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