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  1. pypi.org › project › jsonsjsons · 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.

  2. pypi.org › project › pypi-jsonpypi-json · PyPI

    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.

  3. pypi.org › project › jsonlibjsonlib - PyPI

    9 lut 2010 · This module aims to produce a library for serializing and deserializing JSON that conforms strictly to RFC 4627. For the Python 3 version of jsonlib, see jsonlib-python3. Other JSON implementations of interest include simplejson (available in the standard library as of Python 2.6) and demjson.

  4. 22 sty 2015 · 3 Answers. Sorted by: 32. You can also install simplejson. If you have pip (see https://pypi.python.org/pypi/pip) as your Python package manager you can install simplejson with: pip install simplejson.

  5. 1 dzień temu · The json.tool module provides a simple command line interface to validate and pretty-print JSON objects. If the optional infile and outfile arguments are not specified, sys.stdin and sys.stdout will be used respectively:

  6. 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.

  7. 5 cze 2023 · The JSON module provides you with a json.dumps() function to serialize Python objects into a JSON formatted string. It provides various options for customization, including formatting the output to make it more human-readable.

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