plain_obj | A faster alternative to namedtuple | Build Tool library

by suzaku Python Version: 0.1.2 License: MIT

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

kandi X-RAY | plain_obj Summary

plain_obj is a Python library typically used in Utilities, Build Tool applications. plain_obj 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 plain_obj' or download it from GitHub, PyPI.

A faster alternative to namedtuple.

Support

Quality

Security

License

Reuse

Support

plain_obj has a low active ecosystem.

It has 18 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 678 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of plain_obj is 0.1.2

Quality

plain_obj has 0 bugs and 0 code smells.

Security

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

plain_obj code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

plain_obj 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

plain_obj 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.

plain_obj saves you 50 person hours of effort in developing the same functionality from scratch.

It has 132 lines of code, 19 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 plain_obj and discovered the below as its top functions. This is intended to give you an instant insight into plain_obj implemented functionality, and help decide if they suit your requirements.

Create a new type
Validate a type name
Create a constructor for the constructor

Get all kandi verified functions for this library.

plain_obj Key Features

No Key Features are available at this moment for plain_obj.

plain_obj Examples and Code Snippets

No Code Snippets are available at this moment for plain_obj.

Community Discussions

Trending Discussions on plain_obj

Retrieve DataTable Result object from Nested JSON response

QUESTION

Retrieve DataTable Result object from Nested JSON response

Asked 2018-Sep-19 at 11:50

I have a json resposne from web (restapi) in which datatable is parsed and converted into json and sent as a resposne from the server. I need to access and retrieve that datatable and data and show in winform grid view. I am having issue accessing and deserializing properly this element from json response.

Here is an example of json response:

...

ANSWER

Answered 2018-Sep-19 at 11:50

I have managed to extract the needed data from json response. Thought might be useful as an answer for someone, who can have similar issue. The problem was that returned data is deeply nested within "data" element, and it is parsed as json object, but inside that object it can be an json array, than another set of json objects and json arrays.

Maybe my solution is not the best one, and its a little bit awkward but I managed it in the end. Had to go through couple of iteration before getting desired element with data for datatable.

Source https://stackoverflow.com/questions/52294028

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

Vulnerabilities

No vulnerabilities reported

Install plain_obj

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