Name | deeppath JSON |
Version |
1.0.0
JSON |
| download |
home_page | None |
Summary | Python module to easily manipulate complex nested structures |
upload_time | 2024-03-27 09:21:49 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.6 |
license | MIT license |
keywords |
deeppath
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
========
deeppath
========
.. image:: https://img.shields.io/pypi/v/deeppath.svg
:target: https://pypi.python.org/pypi/deeppath
.. image:: https://github.com/loicleyendecker/deeppath/actions/workflows/python-package.yml/badge.svg
:target: https://github.com/loicleyendecker/deeppath/actions/workflows/python-package.yml
.. image:: https://readthedocs.org/projects/deeppath/badge/?version=latest
:target: https://deeppath.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://static.pepy.tech/badge/deeppath
:target: https://pepy.tech/project/deeppath
:alt: Downloads
Python module to easily manipulate complex nested structures
* Free software: MIT license
* Documentation: https://deeppath.readthedocs.io.
Features
--------
With `~deeppath.dget`, you can access data in a complex nested
structure. The nested structure should be a json-like structure, so
essentially consisting of dictionary- and list-like structures::
nested_data = {
"users": [
{"surname": "Doe", "name": "John"},
{"name": "Jane", "surname": "Doe"},
],
"location": {
"city": "London",
"country": "United Kingdom",
},
}
Credits
-------
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
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