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24 lip 2023 · pypi-json can be installed from PyPI or Anaconda. To install with pip: $ python -m pip install pypi-json. To install with conda: First add the required channels. $ conda config --add channels https://conda.anaconda.org/conda-forge $ conda config --add channels https://conda.anaconda.org/domdfcoding. Then install.
- jsons · PyPI
Project description. Turn Python objects into dicts or...
- Jsonschema
Features. Full support for Draft 2020-12, Draft 2019-09,...
- jsons · PyPI
9 cze 2022 · Project description. Turn Python objects into dicts or (json)strings and back. No changes required to your objects. Easily customizable and extendable. Works with dataclasses, attrs and POPOs.
8 lip 2024 · Features. Full support for Draft 2020-12, Draft 2019-09, Draft 7, Draft 6, Draft 4 and Draft 3. Lazy validation that can iteratively report all validation errors. Programmatic querying of which properties or items failed validation. Installation. jsonschema is available on PyPI. You can install using pip: $ pip install jsonschema. Extras.
22 sty 2015 · pip install simplejson. This is similar to the comment of installing with easy_install, but I prefer pip to easy_install as you can easily uninstall in pip with "pip uninstall package". Would highly recommend this method to install simplejson, takes 10 seconds: slackrw.wordpress.com/2010/04/04/….
1 dzień temu · json — JSON encoder and decoder ¶. JSON (JavaScript Object Notation), specified by RFC 7159 (which obsoletes RFC 4627) and by ECMA-404, is a lightweight data interchange format inspired by JavaScript object literal syntax (although it is not a strict subset of JavaScript [1] ).
The easiest way to do this is to use the simple index at PyPI which lists all packages without overhead. You can then request the JSON of each package individually by performing a GET request to the URLs mentioned in your question. answered May 25, 2014 at 21:40.
Jsons is a library that allows you to serialize your plain old Python objects to readable json (dicts or strings) and deserialize them back. No magic, no special types, no polluting your objects. Just you, Python and clean json.
