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Marshmallow is a framework-agnostic library for converting complex datatypes, such as objects, to and from primitive Python datatypes. Marshmallow schemas can be used to: * Validate input data. * Deserialize input data to app-level objects. * Serialize app-level objects to primitive Python types. The serialized objects can then be rendered to standard formats such as JSON for use in an HTTP API. Python 3 version.
A Python enum serializer/deserializer for use with Marshmallow.
marshmallow-oneofschema An extension to marshmallow to support schema (de)multiplexing.marshmallow is a fantastic library for serialization and deserialization of data. For more on that project see its GitHub <
********************** marshmallow-sqlalchemy **********************|pypi- package| |build-status| |docs| |marshmallow3| |black|Homepage: < integration with the marshmallow < (de)serialization library.Declare your models .. code- block:: python import sqlalchemy as sa from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import scoped_session, sessionmaker, relationship,...
Martian A library to grok configuration from Python code.Martian tutorial ****************Introduction "There was so much to grok, so little to grok from." -- Stranger in a
Matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits. Matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code.
Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell, web application servers, and various graphical user interface toolkits. Matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code.