python-jdata v0.6.0

Major updates

• added jsonpath function to support JSONLab-like JSONPath implementation
• added loadts, loadbs to read JSON/binary JSON streams instead of files
• added jdlink function to support dynamic downloading/caching externally linked data files
• added loadurl to directly read JSON data via REST-API; load also supports RESTful URLs, with local file cache support
• added dumpb to print binary JSON byte-buffer, similar to show to print JSON strings
• added more fine-grained unit-tests
• significantly updated README, with examples from key functions

download the package via pip: python3 -m pip install jdata, read examples in README at https://pypi.org/project/jdata/

All JData users, please provide your critical feedback to guide our next-stage development of this software by filling out a short community survey at https://neurojson.org/survey/2024-1a

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python-jdata v0.5.0

• support blosc2 family meta-compressors (blosc2blosclz, blosc2lz4, blosc2lz4hc, blosc2zlib, blosc2zstd)
• optimized numpy array encoding/decoding to avoid overhead
• code beautification with black
• return undecoded data when a codec is not installed
• add benchmark comparing various compressors for saving/loading numpy arrays

python-jdata v0.4.4

• support lzma compressed data
• encode/decode numpy complex-valued scalars, #2
• add unit tests

JData Python encoder and decoder v0.3.6

ChangeLog:

• migrate testing script to use unittest

JData Python encoder and decoder v0.3.5

fix installation command