semvec/pypi-packages huggingface dataset:
Py-Authorize 1.4.0.0
A full-featured Python API for Authorize.net's AIM, CIM, ARB and Reporting APIs.
License: MIT

Py-Authorize
============

Py-Authorize is a full-featured Python API for the Authorize.net payment
gateway. Authorize.net offers great payment processing capabilities with a 
terribly incoherent API. Py-Authorize attempts to alleviate many of the
problems programmers might experience with Authorize.net's'API by providing a 
cleaner, simpler and much more coherent API.

Py-Authorize supports most all of the Authorize.net's API functionality 
including:

- Advanced Integration Method (AIM)
- Customer Integration Manager (CIM)
- Transaction Detail API/Reporting
- Automated Recurring Billing API (ARB)

Here is a simple example of a basic credit card transaction.

.. code-block:: python

    import authorize

    authorize.Configuration.configure(
        authorize.Environment.TEST,
        'api_login_id',
        'api_transaction_key',
    )

    result = authorize.Transaction.sale({
        'amount': 40.00,
        'credit_card': {
            'card_number': '4111111111111111',
            'expiration_date': '04/2014',
            'card_code': '343',
        }
    })

    result.transaction_response.trans_id
    # e.g. '2194343352'


Documentation
-------------

Please visit the `Github Page`_ for full documentation.

.. _Github Page: http://vcatalano.github.io/py-authorize/index.html


License
-------

Py-Authorize is distributed under the `MIT license
<http://www.opensource.org/licenses/mit-license.php>`_.


Support
-------

All bug reports, new feature requests and pull requests are handled through 
this project's `Github issues`_ page.

.. _Github issues: https://github.com/vcatalano/py-authorize/issues
qiidly 1.0.0
Sync Qiita feeds for followees and following tags to Feedly. -> Qiitaでフォロー中のタグとユーザーをFeedlyに同期。
License: MIT
Keywords: Qiita,Feedly,feed,rss,atom

qiidly
======

[![Build Status](https://travis-ci.org/uraxy/qiidly.svg?branch=master)](https://travis-ci.org/uraxy/qiidly)

FeedlyのAndroidアプリは快適！
blogを読むだけじゃもったいない、
Qiitaの新着記事もチェックするともっと快適！

そのためには…
- Qiitaでフォロー中のタグ
- Qiitaでフォロー中のユーザー
をカンタンにFeedlyに同期できなきゃ。

そのためのツールがqiidlyなのだ。

-----

qiidlyは、
Qiitaでフォロー中のタグとユーザーのフィードをFeedlyに同期するツールです。

Qiitaでフォロー中のものは、Feedlyに次のカテゴリで登録されます。
- フォロー中のタグ -> Qiita:tags
- フォロー中のユーザー -> Qiita:followees

Qiitaでフォローを解除したものは、Feedlyから削除されます。

フィードが既に他のカテゴリで登録されている場合、
そのカテゴリでの登録は維持されます。
つまり、qiidlyで同期したことで、フィードの登録がなくなったり、カテゴリが消えちゃったりすることはありません。


Setup
=====

Libraries
---------
```sh
$ pip install -r requirements.txt
```

- [Python Wrapper for Qiita API v2](https://github.com/petitviolet/qiita_py) ([MIT License](https://petitviolet.mit-license.org/))


API Access token
----------------

Qiita access token
- https://qiita.com/settings/applications

Feedly developer access token
- https://developer.feedly.com/v3/developer/#how-do-i-generate-a-developer-access-token



Usage
=====

```bash
$ python -m qiidly.command_line -h
usage: command_line.py [-h] -q QIITA_TOKEN -f FEEDLY_TOKEN

qiidly: Qiita to Feedly.

optional arguments:
  -h, --help            show this help message and exit
  -q QIITA_TOKEN, --qiita-token QIITA_TOKEN
                        Qiita access token
  -f FEEDLY_TOKEN, --feedly-token FEEDLY_TOKEN
                        Feedly developer access token
$
```

```sh
$ ./qiidly.sh  # == python -m qiidly.command_line -q $QIITA_TOKEN -f $FEEDLY_TOKEN
## Category at Qiita: 'Qiita:tags'
+ linebot
- gwt
+ onsenui	=> categories['dummy', 'Qiita:tags']
- Cytoscape	=> categories['dummy']

Sync following tag feeds at Qiita to Feedly? [y/n] y
Done!
## Category at Qiita: 'Qiita:followees'
- uraxy

Sync to Feedly? [y/n] y
Done!
$
```


Tests
=====

with unittest
-------------

```bash
$ python -m unittest discover tests
```

with nose
---------

```bash
$ nosetests --with-coverage --cover-html --cover-package=qiidly
..........
Name               Stmts   Miss  Cover
--------------------------------------
qiidly.py              0      0   100%
qiidly/feedly.py      35     14    60%
qiidly/main.py       108     84    22%
qiidly/qiita.py       45     25    44%
--------------------------------------
TOTAL                188    123    35%
----------------------------------------------------------------------
Ran 10 tests in 0.190s

OK
$ google-chrome cover/index.html
$
```


License
=======
MIT License
tnseq_yeast 0.3.1
trim adapters from high-throughput sequencing reads
License: MIT

.. image:: https://travis-ci.org/marcelm/cutadapt.svg?branch=master
    :target: https://travis-ci.org/marcelm/cutadapt

.. image:: https://img.shields.io/pypi/v/cutadapt.svg?branch=master
    :target: https://pypi.python.org/pypi/cutadapt

========
cutadapt
========

Cutadapt finds and removes adapter sequences, primers, poly-A tails and other
types of unwanted sequence from your high-throughput sequencing reads.

Cleaning your data in this way is often required: Reads from small-RNA
sequencing contain the 3’ sequencing adapter because the read is longer than
the molecule that is sequenced. Amplicon reads start with a primer sequence.
Poly-A tails are useful for pulling out RNA from your sample, but often you
don’t want them to be in your reads.

Cutadapt helps with these trimming tasks by finding the adapter or primer
sequences in an error-tolerant way. It can also modify and filter reads in
various ways. Adapter sequences can contain IUPAC wildcard characters. Also,
paired-end reads and even colorspace data is supported. If you want, you can
also just demultiplex your input data, without removing adapter sequences at all.

Cutadapt comes with an extensive suite of automated tests and is available under
the terms of the MIT license.

If you use cutadapt, please cite
`DOI:10.14806/ej.17.1.200 <http://dx.doi.org/10.14806/ej.17.1.200>`_ .


Links
-----

* `Documentation <https://cutadapt.readthedocs.org/>`_
* `Source code <https://github.com/marcelm/cutadapt/>`_
* `Report an issue <https://github.com/marcelm/cutadapt/issues>`_
* `Project page on PyPI (Python package index) <https://pypi.python.org/pypi/cutadapt/>`_
* `Follow @marcelm_ on Twitter <https://twitter.com/marcelm_>`_
* `Wrapper for the Galaxy platform <https://bitbucket.org/lance_parsons/cutadapt_galaxy_wrapper>`_
showast 0.2.4
IPython notebook plugin for visualizing abstract syntax trees.
License: MIT
Keywords: ipython jupyter notebook ast asts graphing visualization syntax

# showast
An IPython/Jupyter notebook plugin for visualizing abstract syntax trees.

Example usage
--------------
Examples can be found in [this IPython notebook](https://github.com/hchasestevens/show_ast/blob/master/Example.ipynb).

```python
import showast
```

```python
%%showast
print 1 + 2
```
![print 1 + 2 AST](http://i.imgur.com/vK3XTkX.png)

```python
from showast import show_source
import antigravity
show_source(antigravity)
```
![antigravity module AST](http://i.imgur.com/NJY6xhw.png)

Installation
-------------
```
pip install showast
```

showast has the following Python dependencies:
```
ipython
graphviz
```

You will also need to have [Graphviz](http://www.graphviz.org/Download..php) installed.

Use of the alternative nltk-based rendering engine requires the following packages:
```
nltk
pillow
```
When using this option, you will additionally need to have [Ghostscript](http://ghostscript.com/download/gsdnld.html) installed.

Contacts
--------

* Name: [H. Chase Stevens](http://www.chasestevens.com)
* Twitter: [@hchasestevens](https://twitter.com/hchasestevens)
django-datafreezer 0.2.0
Data storage Django web application.
License: MIT
Keywords: django,csv,data,storage,journalism,javascript

# Datafreezer

Datafreezer is a newsroom tool that enables reporters and editors to easily share datasets.

## Features

#### Upload

- With each upload, users complete a data dictionary, which describes pertinent fields within a dataset. This ensures that uploaded datasets are well documented.
	- Users can either upload a dataset that already has header information, or they can add and remove data dictionary fields.
- Users can include a URL in which the data was sourced and the app will scrape the page for a headline to save.
- Tag support (with autocomplete)

#### Browse

- Users can browse datasets by
	- Uploading user
	- Hub (desk)
	- Vertical (section)
	- Tag
	- Source
- The app uses a pluggable JSON endpoint to map email addresses to names and certain slugs to names.
	- This endpoint can be a static JSON or an API.

## Credits
Thanks to [Glyphicons](http://glyphicons.com/) for Bootstrap glyphs.

Developed by [Tyler Davis](http://twitter.com/tylerallyndavis) for [The Dallas Morning News](http://dallasnews.com).