Python pour un Actuaire
=======================

**Links:** `pypi <https://pypi.python.org/pypi/actuariat_python/>`_,
`github <https://github.com/sdpython/actuariat_python/>`_,
`documentation <http://www.xavierdupre.fr/app/actuariat_python/helpsphinx/index.html>`_,
`wheel <http://www.xavierdupre.fr/site2013/index_code.html#actuariat_python>`_,
`travis <https://travis-ci.com/sdpython/actuariat_python>`_,
:ref:`l-README`,
:ref:`blog <ap-main-0>`

Ce module sert de support aux séances de la formation
`Data Science pour l'Actuariat <http://www.institutdesactuaires.com/gene/main.php?base=943>`_
dispensée à l'`Institut des Actuaires <http://www.institutdesactuaires.com/gene/main.php>`_.
Ces exercices s'adressent à ceux qui souhaitent apprendre à exploiter les données
avec des méthodes issues du :epkg:`machine learning`.

    La formation Data Science pour l'Actuariat vise à compléter les
    formations en actuariat (initiales et continues) par une formation
    opérationnelle en extraction, gestion et analyse des données
    massives et hétérogènes.

Contenu
-------

.. toctree::
    :maxdepth: 2

    i_seances_base
    i_datasets

Examens
-------

.. toctree::
    :maxdepth: 2

    i_examens

Démarrer, Index
---------------

.. toctree::
    :maxdepth: 1

    all_notebooks
    gyexamples/index
    blog/blogindex
    i_index

+----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+
| :ref:`l-modules`     |  :ref:`l-functions` | :ref:`l-classes`    | :ref:`l-methods`   | :ref:`l-staticmethods` | :ref:`l-properties`                            |
+----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+
| :ref:`modindex`      |  :ref:`l-example`   | :ref:`search`       | :ref:`l-license`   | :ref:`l-changes`       | :ref:`l-README`                                |
+----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+
| :ref:`genindex`      |  :ref:`l-FAQ`       | :ref:`l-notebooks`  |                    | :ref:`l-statcode`      | `Unit Test Coverage <coverage/index.html>`_    |
+----------------------+---------------------+---------------------+--------------------+------------------------+------------------------------------------------+

.. image:: https://travis-ci.com/sdpython/actuariat_python.svg?branch=master
    :target: https://app.travis-ci.com/github/sdpython/actuariat_python
    :alt: Build status

.. image:: https://ci.appveyor.com/api/projects/status/nelemxw6md6bt95a?svg=true
    :target: https://ci.appveyor.com/project/sdpython/actuariat-python
    :alt: Build Status Windows

.. image:: https://circleci.com/gh/sdpython/actuariat_python/tree/master.svg?style=svg
    :target: https://circleci.com/gh/sdpython/actuariat_python/tree/master

.. image:: https://badge.fury.io/py/actuariat_python.svg
    :target: http://badge.fury.io/py/actuariat_python

.. image:: http://img.shields.io/github/issues/sdpython/actuariat_python.png
    :alt: GitHub Issues
    :target: https://github.com/sdpython/actuariat_python/issues

.. image:: https://img.shields.io/badge/license-MIT-blue.svg
    :alt: MIT License
    :target: http://opensource.org/licenses/MIT

.. image:: https://codecov.io/github/sdpython/actuariat_python/coverage.svg?branch=master
    :target: https://codecov.io/github/sdpython/actuariat_python?branch=master

.. image:: nbcov.png
    :target: http://www.xavierdupre.fr/app/actuariat_python/helpsphinx/all_notebooks_coverage.html
    :alt: Notebook Coverage

.. image:: https://img.shields.io/github/repo-size/sdpython/actuariat_python
    :target: https://github.com/sdpython/actuariat_python/
    :alt: size