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python3-snuggs - S-expressions tool for Numpy

Snuggs are s-expressions for Numpy.

compiled for Python3.8 noarch rpm

sha256sum filename:
2c6ca375a791edccbb794366b5ae886cbb4973100c8a22e30b8a2a2411bbd2fa python3-snuggs-1.4.7-0.noarch.rpm

JSON is a lightweight data-interchange format. It can represent numbers, strings, ordered sequences of values, and collections of name/value pairs.

JsonCpp is a C++ library that allows manipulating JSON values, including serialization and deserialization to and from strings. It can also preserve existing comment in unserialization/serialization steps, making it a convenient format to store user input files.

python3-physt - Python histogram library

P(i/y)thon h(i/y)stograms. Inspired (and based on) numpy.histogram.
The unifies different concepts of histograms as occurring in numpy, pandas, matplotlib, ROOT, etc. and to create one representation that can be manipulated with from the data point of view and at the same time provides integration into IPython notebook and various plotting options.

compiled for Python3.8 noarch rpm

Requires: python3-numpy >= 1.17 , python3-pandas

python3-packaging - Core utilities for Python packages

Core utilities for Python packages

compiled for Python3.8 noarch rpm

sha256sum filename:
02d5e0f98af22666416d404e9651602820e110c65f02507e195dbfbb06ce2b9a python3-packaging-21.3-0.noarch.rpm

python3-pyparsing - Grammar Parser Library for Python

The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the traditional lex/yacc approach, or the use of regular expressions. The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code.

compiled for Python3.8 noarch rpm

sha256sum filename:
83f1dc3fd5c69f54f8042cd3be9079940c84f4d6da591a55510c034128581076 python3-pyparsing-3.0.7-0.noarch.rpm

python3-xarray - N-D labeled arrays and datasets in Python

xarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses.
The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.

compiled for Python3.8 noarch rpm

python3-typing_extensions - Backported and Experimental Type Hints for Python 35+