semvec/pypi-packages huggingface dataset:
bio-jade 1.0
A repository for modules and applications to aid in the design and analysis of Biological molecules, especially when working with Rosetta or PyRosetta.
License: BSD
Keywords: rosetta pyrosetta biology protein design bioinformatics carbohydrates pymol biochemistry modeling pdb

========
Bio-Jade
========


.. image:: https://img.shields.io/pypi/v/jade.svg
        :target: https://pypi.python.org/pypi/bio-jade

.. image:: https://img.shields.io/travis/jadolfbr/jade.svg
        :target: https://travis-ci.org/SchiefLab/Jade

.. image:: https://readthedocs.org/projects/jade/badge/?version=latest
        :target: https://bio-jade.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status




A repository for modules and applications to aid in the design and analysis of Biological molecules, especially when working with Rosetta or PyRosetta.

* Free software: BSD license
* Documentation: https://bio-jade.readthedocs.io.


Features
--------

* A suite of modules for working with biological modules in python.
* A suite of public and pilot applications to make day-to-day tasks easier.
  * Commonly used ones include score_analysis.py, get_seq.py, and RunRosettaMPI.py
Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
exopy-pulses 0.1.0
ExopyPulses plugin package
License: BSD
Keywords: experiment automation GUI

Exopy Pulses
============

.. image:: https://travis-ci.org/Exopy/exopy_pulses.svg?branch=master
    :target: https://travis-ci.org/Exopy/exopy_pulses
    :alt: Build Status
.. image:: https://codecov.io/gh/Exopy/exopy_pulses/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/Exopy/exopy_pulses
    :alt: Coverage
.. image:: https://readthedocs.org/projects/exopy-pulses/badge/?version=latest
    :target: http://exopy-pulses.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status
.. image:: https://api.codacy.com/project/badge/Grade/700a9aea186b40aeba07bab363ff3544
    :target: https://www.codacy.com/app/Exopy/exopy_pulses?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=Exopy/exopy_pulses&amp;utm_campaign=Badge_Grade
    :alt: Code quality (Codacy)
.. image:: https://anaconda.org/exopy/exopy_pulses/badges/version.svg
    :target: https://anaconda.org/exopy/exopy_pulses
    :alt: Conda package


Plugin providing tools to synthesize pulse sequences in Exopy.

Installling
-----------

The easiest way to install exopy_pulses is through conda :

.. code:: shell

    conda install exopy_pulses -c exopy
sklearn-sequence-classifiers 0.2
Sequence classifiers for scikit-learn
License: BSD

Sequence classifiers for scikit-learn
=====================================

Convolutional neural network sequence classifier with a scikit-learn interface.

Usage example
-------------

Predicting IMDB review sentiments.::

    from keras.datasets import imdb
    from keras.preprocessing import sequence
    from sequence_classifiers import CNNSequenceClassifier

    maxlen = 400
    (x_train, y_train), (x_test, y_test) = imdb.load_data(num_words=5000)
    x_train = sequence.pad_sequences(x_train, maxlen=maxlen)
    x_test = sequence.pad_sequences(x_test, maxlen=maxlen)

    clf = CNNSequenceClassifier(epochs=2)
    clf.fit(x_train, y_train)
    print(clf.score(x_test, y_test))
ply 3.11
Python Lex & Yacc
License: BSD


PLY is yet another implementation of lex and yacc for Python. Some notable
features include the fact that its implemented entirely in Python and it
uses LALR(1) parsing which is efficient and well suited for larger grammars.

PLY provides most of the standard lex/yacc features including support for empty 
productions, precedence rules, error recovery, and support for ambiguous grammars. 

PLY is extremely easy to use and provides very extensive error checking. 
It is compatible with both Python 2 and Python 3.
hepdata 0.2.1
HEPdata
License: BSD
Keywords: hepdata

=================================
HEPdata Matching Gifts API client
=================================

.. image:: https://badge.fury.io/py/hepdata.svg
    :target: http://badge.fury.io/py/hepdata

.. image:: https://travis-ci.org/wellfire/hepdata-matchinggifts.svg?branch=master
        :target: https://travis-ci.org/wellfire/hepdata-matchinggifts

.. image:: https://img.shields.io/pypi/v/hepdata.svg?style=flat
        :alt: PyPI Version
        :target: https://pypi.org/project/hepdata/

A Python wrapper for the `HEPdata Matching Gifts database API <http://www.hepdata.com/>`_.

Install
=======

>From PyPI:

    pip install hepdata

Testing
=======

First install `tox <https://tox.readthedocs.io/en/latest/>`_` and then run:

    tox

If you'd prefer not to run the tests from a `tox` environment, ensure you install the package first:

    python setup.py develop

License
=======

Licensed under the terms of the GPL v2.




History
-------

0.2.1 (2018-02-15)
------------------

* Fix bad release

0.2.0 (2018-02-15)
------------------

* Switch from HTTP to HTTPS for all calls

0.1.5 (2016-12-20)
------------------

* Fixes missing error code and updates testing/build documentation

0.1.4 (2016-09-19)
------------------

* Address Python 2 unicode handling bug

0.1.3 (2015-07-24)
------------------

* Fixes programming error in previous fix

0.1.2 (2015-07-24)
------------------

* Fixes programming error in previous fix

0.1.1 (2015-07-22)
------------------

* Enforce consistent type of results (always a list, not a singular dictionary)

0.1.0 (2015-06-15)
------------------

* First release on PyPI.