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  1. 3 lip 2024 · In this tutorial, you'll learn how to read and write JSON-encoded data in Python. You'll begin with practical examples that show how to use Python's built-in "json" module and then move on to learn how to serialize and deserialize custom data.

  2. 5 cze 2023 · Python's JSON module provides the json.load() function, which allows you to read and deserialize JSON data from a file. In this section, you will learn how to use the json.load() function to retrieve JSON data from a file and work with it in your Python programs.

  3. pypi.org › project › simplejsonsimplejson · PyPI

    9 maj 2011 · simplejson is a simple, fast, complete, correct and extensible JSON <http://json.org> encoder and decoder for Python 3.3+ with legacy support for Python 2.5+. It is pure Python code with no dependencies, but includes an optional C extension for a serious speed boost.

  4. 13 sty 2023 · Learn how to read and parse JSON, read and write JSON to a file, and how to convert Python data types to JSON.

  5. 1 dzień temu · jsonJSON 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] ).

  6. 5 maj 2022 · JSON parsers are widely available in most, if not every, language. A JSON parser is also available in the Python standard library. It’s not the perfect format, but it’s good enough. Why not add X feature? The general goal of this PEP is to change or add very little.

  7. 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.

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