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Setup scripts can use pytest-runner to add setup.py test support for pytest runner. Python 3 version.
dateutil - powerful extensions to datetime The dateutil module provides powerful extensions to the standard datetime module, available in Python. Installation dateutil can be installed from PyPI using pip (note that the package name is different from the importable name): pip install python-dateutil Download dateutil is available on PyPI https:/pypi.org/project/python-dateutil/ The documentation is hosted at: https:/dateutil.readthedocs.io/en/stable/ Code The code and issue tracker are hosted on GitHub: https:/github.com/dateutil/dateutil/ Features Computing of relative deltas (next month, next year, next Monday, last week of month, etc); Computing of relative deltas between two given date and/or datetime objects; Computing of dates based on very flexible recurrence rules, using a superset of the iCalendar specification. Parsing of RFC strings is supported as well. Generic parsing of dates in almost any string format; Timezone (tzinfo) implementations for tzfile(5) fo
_______ .__ __. ____ ____ | ____|| \ | | \ \ / / | |__ | \| | \ \/ / | __| | . | \ / __ | |____ | |\ | \ / (__)|_______||__| \__| \__/python-dotenv | [ and 3 (3.1 or newer), and PyPy 1.5 or newer. It is tested against udev 151 or newer, earlier versions of udev as found on dated Linux systems may work, but are not officially supported.
Pyverbs is a Cython-based Python API over libibverbs, providing an easy, object-oriented access to IB verbs.
PyXDG is a python library to access freedesktop.org standards. This package contains a Python 3 version of PyXDG.
YAML is a data serialization format designed for human readability and interaction with scripting languages. PyYAML is a YAML parser and emitter for Python. PyYAML features a complete YAML 1.1 parser, Unicode support, pickle support, capable extension API, and sensible error messages. PyYAML supports standard YAML tags and provides Python-specific tags that allow to represent an arbitrary Python object. PyYAML is applicable for a broad range of tasks from complex configuration files to object serialization and persistence.