semvec/pypi-packages huggingface dataset:
trackertools 0.1.6
Tools to manage Gazelle tracker user account
License: MIT
Keywords: private tracker tools gazelle trackers

Manage your Gazelle tracker account
===================================

Supported:

- Gazelle trackers
- transmission-remote

.. code-block:: python

        from trackers import Tracker, Seedbox

        # Tracker
        mytracker = Tracker(username='john', password='password',
                            root_url='http://mytracker.com',
                            login_url='http://mytracker.com/login.php',
                            main_url='http://mytracker.com/torrents.php',
                            tools_server='tools.mytracker.com',
                            cookies_file="mytracker.cookie")
        mytracker.login()

        # Seedbox
        myseedbox = Seedbox(seed_dir="/home/myuser/Downloads/")
        myseedbox.add_torrent("http://mytracker.com/mytorrent.file.torrent")
        myseedbox.move_to_seed_dir("mytorrent.file")
        myseedbox.verify_last_transmission_id()
iwx 0.1.0.dev1
wxPython utilities and enhanced controls
License: MIT
Keywords: wxPython,GUI

iwx
===

**iwx** is a collection of enhanced controls for wxPython

Mini-Demos
----------

Plot module
^^^^^^^^^^^

::

    # -*- coding: utf-8 -*-
    """
    Plotting in wxPython like Matplotlib
    """

    import numpy as np
    import wx
    from iwx.plot import Figure, Axes


    def test():
        n = 100 # Number of points
        x = np.linspace(0,3*np.pi,n)
        y1 = np.cos(x) + np.random.random(n)
        y2 = np.sin(x) + np.random.random(n)
        
        fig = Figure()
        ax = fig.add_axes()
        ax.plot(x,y1, color="#00ffff", legend="Y1", width=2)
        ax.plot(x,y2, color="#ff00ff", legend="Y2", width=3)
        ax.set_xlabel("X")
        ax.set_ylabel("y")
        ax.set_title("Graphics")
        ax.grid()
        ax.legend()
        fig.show()
        
    if __name__ == '__main__':
        app = wx.App()
        test()
        app.MainLoop()


and obtains:

.. image:: examples/images/plot.PNG
    :scale: 80%

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

Using pip

:: 

    pip install iwx
django-walletone 1.0.0a5
WalletOne payment system integration in Django.
License: MIT
Keywords: django,walletone,w1

Django WalletOne
================

.. image:: https://img.shields.io/pypi/v/django-walletone.svg
    :target: https://pypi.python.org/pypi/django-walletone/

.. image:: https://travis-ci.org/otov4its/django-walletone.svg?branch=master
    :target: https://travis-ci.org/otov4its/django-walletone

.. image:: https://readthedocs.org/projects/django-walletone/badge/?version=latest
    :target: http://django-walletone.readthedocs.org/en/latest/?badge=latest

.. image:: https://coveralls.io/repos/github/otov4its/django-walletone/badge.svg?branch=master
    :target: https://coveralls.io/github/otov4its/django-walletone

|

Django WalletOne is a pluggable application that integrates
with WalletOne online payments provider.

Django WalletOne supports Django 1.7 to 1.9 on Python 2.7, 3.4.

|

See https://django-walletone.readthedocs.org/ for application documentation.

See https://www.walletone.com/en/merchant/documentation/ for
native WalletOne documentation.
nls 0.2.0
NLS: Non-Linear Schrodinger equation solver.
License: MIT

NLS is scientific package that provides ability to solve effeffectively
non-linear schrodinger equation with reservoir. These equation describes
exciton-polariton condensation in microcavities. NLS is built on native
fortran code and is based on certain natural abstraction layer that wraps
native solver. These features are reason that makes calcualtions with NLS
fast.
cmsplugin-iframe 0.1.5
Django CMS page iframe plugin
License: MIT

================
cmsplugin-iframe
================

|ci| |pypi| |status|

.. |ci| image:: https://img.shields.io/travis/satyrius/cmsplugin-iframe.svg
    :target: https://travis-ci.org/satyrius/cmsplugin-iframe

.. |pypi| image:: https://img.shields.io/pypi/v/cmsplugin-iframe.svg
    :target: https://pypi.python.org/pypi/cmsplugin-iframe/
    :alt: Latest Version

.. |status| image:: https://img.shields.io/pypi/status/cmsplugin-iframe.svg
    :target: https://pypi.python.org/pypi/cmsplugin-iframe/
    :alt: Development Status

All major video hosters like *YouTube* and *Vemeo* has embed codes as *html iframe* snippets.
This Django CMS plugin allows you to add video iframe to the page (actually you can add any page as iframe, not only video).

Requirements
============

It works fine and tested under both ``Python 2`` ``Python 3``. The following libraries are required

- ``Django`` >= 1.5 (use ``Django`` >= 1.8 for ``Python 3.5``, because of `HTMLParser <https://docs.python.org/3/whatsnew/3.5.html#changes-in-the-python-api>`_)
- ``django-cms`` >= 3.0 (we recommend to use Django CMS 3.0 and higher, contact us if you need prior CMS versions supports and have some issues)
- ``beautifulsoup4`` for iframe embed snippets parsing

Installation
============

::

$ pip install cmsplugin-iframe

Configure installed apps in your ``settings.py`` ::

  INSTALLED_APPS = [
      # django contrib and django cms apps
      'cmsplugin_iframe',
  ]

Migrate your database ::

  django-admin.py migrate cmsplugin_iframe

Usage
=====

Add plugin to the page with common way. You can specify video by URL or give plugin an iframe html snippet to parse.
To customize how it looks you can override `cms/plugins/iframe.html`.

Changelog
=========
The changelog can be found at `repo's release notes <https://github.com/satyrius/cmsplugin-iframe/releases>`_

Contributing
============
Fork the repo, create a feature branch then send me pull request. Feel free to create new issues or contact me via email.

Translation
-----------
You could also help me to translate `cmsplugin-iframe` to your native language `with Transifex <https://www.transifex.com/projects/p/cmsplugin-iframe/resource/main/>`_
dgit 0.1.7
Git wrapper for Managing Datasets
License: MIT
Keywords: git data datasets versioning cvs

dgit is an application on top of git.

A lot of data-scientists' time goes towards generating, shaping, and
using datasets. dgit enables organizing and using datasets with
minimal effort.

dgit uses git for version management but structures the repository
content, and interface to suit data management tasks.

Read `documentation <https://dgit.readthedocs.org>`_

Note: Only Python 3 supported for now





History
-------

0.1.7 (2016-04-23)
---------------------

* API 
* Bug fixes 
* Added auto mode 

...

0.1.0 (2016-02-26)
---------------------

* Boostrapping