semvec/pypi-packages huggingface dataset:
justcoin-sdk 0.0.9
Python SDK for the Justcoin API
License: MIT
Keywords: sdk,justcoin,api

Justcoin Python API
===================

Install the sdk:

::

    pip install justcoin-sdk


Get your API key from `Justcoin <https://justcoin.com/client/#settings/apikeys>`_ and then just do:

::

    from justcoin import justcoin
    api = justcoin.JustcoinAPI("my-api-key")
    print api.list_markets()


You can get a list of available endpoints and their explanations from a mixture of the `old docs <http://docs.justcoin.apiary.io/>`_ and the `new docs <http://wiki.justcoin.com/API>`_. I find the old docs to be more comprehensive.

Have fun
ExEmGel 0.5
Simple xml reader
License: MIT

ExEmGel: Simple pythonic xml reader
===================================

ExEmGel is a wrapper around the standard ElementTree library.
It allow clean and simple access to xml.


.. code-block:: pycon

   >>> config = exemgel.parse("configuration.xml")
   >>> config.configuration.email.host
   'mail.example.com'
   >>> config.configuration.email.port
   25
   
Installation
------------

To install ExEmGel:, simply:

.. code-block:: bash
    
        $ pip install exemgel
kcbo 0.0.1
A Bayesian data analysis library in Python
License: MIT
Keywords: bayesian data analysis statistics

KCBO
        ====
        
        A Bayesian testing framework written in Python.
        
        KCBO Philosophy
        ---------------
        
        *The goal of KCBO is to provide an easy to use, Bayesian framework to the masses.*
        
        The Bayesian philosophy and framework provide an excellent structure for both asking and answering questions. Bayesian statistics allow us to ask questions in a more natural manner and derive incredibly powerful solutions.
        
        Researchers and analysts shouldn't spend hours reading academic papers and finding which conjugate priors they need, which type of sampler their MCMC should have, or when to use MC or MCMC. Software should take care of that computing and researchers should take care of producing insights.
        
        The world is ready for a good, clean, and easy to use Bayesian framework. The goal of KCBO is to provide that framework.