semvec/pypi-packages huggingface dataset:
emencia_paste_djangocms_2 1.9.8
Epaster template to build Django projects
License: MIT

.. _Emencia: http://www.emencia.com/
.. _Python Paste: http://pythonpaste.org/
.. _buildout: http://www.buildout.org/
.. _DjangoCMS: https://www.django-cms.org/
.. _Epaster: https://github.com/emencia/Epaster

This is the `Epaster`_ template to build `DjangoCMS`_ 2.x projects with `Python Paste`_ and `buildout`_.

Links
-----

* Download his `PyPi package <https://pypi.python.org/pypi/emencia_paste_djangocms_2>`_;
* Clone it on his `Github repository <https://github.com/emencia/emencia_paste_djangocms_2>`_;
* `Read its documentation on Read the Docs <http://epaster.readthedocs.org/en/latest/emencia_paste_djangocms_2.html>`_;
django_roles 0.0.4
Django Roles with Role-Group-Permission-User
License: MIT
Keywords: django,auth,user,user role,user role,organization,python

Django Roles
===================


## Installation
Install the package

```bash
    $ pip install django-roles
```

## Dependencies
    
    django
    django-mptt


##Testing


Run all tests:
```bash
    $ python -m unittest discover -s tests -p '*_test.py'
```

Start test with nose and code coverage:
```bash
    $ nosetests --with-cov  --cov-report html  --cov  django-auth tests/
```
intervaltree_bio 1.0.1
Interval tree convenience classes for genomic data
License: MIT
Keywords: interval-tree data-structure intervals tree genomics bioinformatics ucsc

================
Intervaltree-Bio
================

Convenience classes for loading UCSC genomic annotation records into a set of `interval tree <https://pypi.python.org/pypi/intervaltree>`__ data structures.

Installation
------------

The easiest way to install most Python packages is via ``easy_install`` or ``pip``::

    $ pip install intervaltree-bio

The package requires the ``intervaltree`` package (which is normally installed automatically when using ``pip`` or ``easy_install``).

Usage
--------

One of the major uses for Interval tree data structures is in bioinformatics, where the
intervals correspond to genes or other features of the genome.

As genomes typically consist of a set of *chromosomes*, a separate interval tree for each
chromosome has to be maintained. Thus, rather than using an single interval tree, you would typically use
something like ``defaultdict(IntervalTree)`` to index data of genomic features.
The module ``intervaltree_bio`` offers a ``GenomeIntervalTree`` data structure, which is a similar convenience
data structure. In addition to specific methods for working with genomic intervals it also
provides facilities for reading BED files and the refGene table from `UCSC <http://genome.ucsc.edu/>`__.

The core example is loading the transcription regions of the ``knownGene`` table from the UCSC website::

    >> from intervaltree_bio import GenomeIntervalTree
    >> knownGene = GenomeIntervalTree.from_table()
    >> len(knownGene)

It is then possible to use the data structure to search known genes within given intervals::

    >> result = knownGene[b'chr1'].search(100000, 138529)
    
It is possible to load other UCSC tables besides ``knownGene`` or specify custom URL or file to read the table from.
Consult the docstring of the ``GenomeIntervalTree.from_table`` method for more details.

Copyright
----------

  * Copyright (c) Konstantin Tretyakov
  * MIT license.
  * Report issues via `Github <https://github.com/konstantint/intervaltree-bio>`__.
fclist 1.1.1
("Python cffi bridge to fontconfig's FcFontList/FcFontMatch",)
License: MIT

###Python cffi bridge to fontconfig's FcFontList/FcFontMatch

Useful for python programs that need to query information about fonts installed
in the system(use this instead of parsing fc-list output). Requires the
fontconfig shared library installed in a directory that the cffi module can
find.

###Usage

```python
from fclist import fclist, fcmatch

# Print the family, style and file path of monospace/truetype fonts
for font in fclist(spacing='mono', fontformat='TrueType'):
    print font.family, font.style, font.file

# Print the system's default monospace font
print fcmatch('monospace')
```

`fclist` can receive any keyword arguments that can be passed to the `fc-list`
command, and the returned font objects have most attributes defined by
fontconfig.h.

`fcmatch` receives the same pattern that is normally passed to `fc-match`, but
it doesn't support the --all/--sort options(only returns a single font object).
mozsci 0.9.2
Data science tools from Moz
License: MIT

mozsci
======

A grab bag of assorted Data science tools from Moz.

Currently includes:

-  Utilities for training/evaluating machine learning models:

   -  Cross validation
   -  Evaluation metrics (AUC, F1, etc)
   -  Training models in parallel

-  Ensemble model selection
-  PCA
-  A generic way to specify model inputs
-  Some linear models:

   -  Linear Regression
   -  Logistic Regression
   -  GLM

Installing
----------

::

    pip install mozsci