:orphan:


.. _l-notebooks:


Notebooks Gallery
=================


:ref:`l-notebooks-coverage`


.. contents::
    :depth: 1
    :local:

.. toctree::
    :maxdepth: 1

    notebooks/example_of_ssh_client_communication
    notebooks/dummy_notebook
    notebooks/azure_blob_storage
    notebooks/python_hadoop_pig

.. raw:: html

    <div class="sphx-pyq-thumb" tooltip="In this notebook, we show how to communicate with a remote machine. This machine was set up using Ubuntu 12 (and with Azure : Create a Virtual Machine Running Linux. The following code is used to get the credentials without printing them on the notebook.">

.. only:: html

    .. figure:: /notebooks/example_of_ssh_client_communication.thumb.png

        :ref:`exampleofsshclientcommunicationrst`

.. raw:: html

    </div>


.. raw:: html

    <div class="sphx-pyq-thumb" tooltip="Simple notebook with a menu.">

.. only:: html

    .. figure:: /notebooks/dummy_notebook.thumb.png

        :ref:`dummynotebookrst`

.. raw:: html

    </div>


.. raw:: html

    <div class="sphx-pyq-thumb" tooltip="We try a few file manipulation between a local computer and a blob storage on Azure. It requires azure-sdk-for-python and pyenbc. We first create a dummy file.">

.. only:: html

    .. figure:: /notebooks/azure_blob_storage.thumb.png

        :ref:`azureblobstoragerst`

.. raw:: html

    </div>


.. raw:: html

    <div class="sphx-pyq-thumb" tooltip="This notebook aims at showing how to submit a PIG job to remote hadoop cluster (tested with Cloudera). It works better if you know Hadoop otherwise I recommend reading Map/Reduce avec PIG (French). First, we download data. We are going to upload that data to the remote cluster. The Hadoop distribution tested here is Cloudera.">

.. only:: html

    .. figure:: /notebooks/python_hadoop_pig.thumb.png

        :ref:`pythonhadooppigrst`

.. raw:: html

    </div>




.. toctree::
    :hidden: 

    all_notebooks_coverage