Extra features for Python's JSON: comments, order, numpy, pandas, datetimes, and many more! Simple but customizable.
The `pyjson-tricks` package brings several pieces of functionality to python handling of json files: 1. **Store and load numpy arrays** in human-readable format. 2. **Store and load class instances** both generic and customized. 3. **Store and load date/times** as a dictionary (including timezone). 4. **Preserve map order** ``{}`` using ``OrderedDict``. 5. **Allow for comments** in json files by starting lines with ``#``. 6. Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, pathlib Paths ... As well as compression and disallowing duplicate keys. * Code: https://github.com/mverleg/pyjson_tricks * Documentation: http://json-tricks.readthedocs.org/en/latest/ * PIP: https://pypi.python.org/pypi/json_tricks The 2.0 series added some of the above features and broke backward compatibility. The version 3.0 series is a more readable rewrite that also makes it easier to combine encoders, again not fully backward compatible. Several keys of the format ``__keyname__`` have special meanings, and more might be added in future releases. If you're considering JSON-but-with-comments as a config file format, have a look at HJSON_, it might be more appropriate. For other purposes, keep reading! Thanks for all the Github stars!
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Interpreter of the Python3 programming language
Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems. New built-in modules are easily written in C or C++ (or other languages, depending on the chosen implementation). Python is also usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces. This package Provides python version 3.