semvec/pypi-packages huggingface dataset:
lazyhttp 0.0.3
Makes it quick to make HTTP servers
License: MIT
Keywords: http

# lazyhttp

Drop in replacement for `http.server` with convenience methods added.

```python
import json
import http.server

import lazyhttp

class Handler(lazyhttp.Handler):

    def req(self, task):
        if '/create' in self.path or '/update' in self.path and \
                self.has(task, 'id', 'text'):
            TASKS[task['id']] = task
        elif '/delete' in self.path and self.has(task, 'id'):
            del TASKS[task['id']]
        elif '/get' in self.path and self.has(task, 'id'):
            self.json(TASKS[task['id']])
        elif '/all' in self.path:
            self.json(TASKS)
        else:
            self.err('Nothing to do')

if __name__ == '__main__':
    lazyhttp.run(Handler)
```
GEOpurify 0.1
Making Gene Expression Omnibus data cleansing easy.
License: MIT
Keywords: GEO,bioinformatics

* GEOpurify
/Atlas of tools making Gene Expression Omnibus data amicable to machine learning./

** Installation

#+BEGIN_SRC sh
pip install GEOpurify
#+END_SRC

** Example Usage

#+BEGIN_SRC python :results output org drawer
from GEOpurify import GEOpurifier
g = GEOpurifier()
gds_df = g.gdspurify("GDS4376")
#+END_SRC

** Methods

*** ~filepurify(filepath, separation="\t")~

Given a path to a standard table with GEO data, returns a dataframe
with gene expression and GSM ids in separate columns.

*** ~dirpurify(dirname)~

Given a path to a directory with standard tables of data from GEO,
applies ~filepurify~ and return a combined dataframe.

*** ~gdspurify(gds_id, load_extra_features=False)~

Given a GDS id, extracts data on a platform, platform organism,
platform techonolgy type and sample organism used. If
~load_extra_features~ is set to ~True~, extra features are fetched
from the GDS columns.

Saves already processed tables corresponding to the GDS in the
directory ~data/tmp~, while storing the raw GEO data in the directory
~data/raw~.

*** ~gdspolypurify(self, gds_list_path, load_extra_features=False)~

Given a path to a file listing GDS ids, each on a new line, applies
~gdspurify~ to each and combines all the data into one dataframe.
unach-photo-server 0.4.3
Aplicación web encargada de conectar con los repositorios de fotografías dispersos en la unach y generar servicios web para consultar por las fotografías de usuarios.
License: MIT
Keywords: unach-photo-server

=============================
unach_photo_server
=============================

.. image:: https://badge.fury.io/py/unach-photo-server.svg
    :target: https://badge.fury.io/py/unach-photo-server

.. image:: https://travis-ci.org/javierhuerta/unach-photo-server.svg?branch=master
    :target: https://travis-ci.org/javierhuerta/unach-photo-server

.. image:: https://codecov.io/gh/javierhuerta/unach-photo-server/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/javierhuerta/unach-photo-server

Aplicación web encargada de conectar con los repositorios de fotografías dispersos en la unach y generar servicios web para consultar por las fotografías de usuarios.

Documentation
-------------

The full documentation is at https://unach-photo-server.readthedocs.io.

Quickstart
----------

Install unach_photo_server::

    pip install unach-photo-server

Add it to your `INSTALLED_APPS`:

.. code-block:: python

    INSTALLED_APPS = (
        ...
        'unach_photo_server.apps.UnachPhotoServerConfig',
        ...
    )

Add unach_photo_server's URL patterns:

.. code-block:: python

    from unach_photo_server import urls as unach_photo_server_urls


    urlpatterns = [
        ...
        url(r'^', include(unach_photo_server_urls)),
        ...
    ]

Features
--------

* TODO

Running Tests
-------------

Does the code actually work?

::

    source <YOURVIRTUALENV>/bin/activate
    (myenv) $ pip install tox
    (myenv) $ tox

Credits
-------

Tools used in rendering this package:

*  Cookiecutter_
*  `cookiecutter-djangopackage`_

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`cookiecutter-djangopackage`: https://github.com/pydanny/cookiecutter-djangopackage




History
-------

0.1.0 (2017-05-12)
++++++++++++++++++

* First release on PyPI.