================
Help and support
================

Priority support is included with the purchase of an Anaconda
subscription.

Contact your administrator first if you are having
problems. Your administrator has a service level agreement where
your issue will be responded to within a specific response time,
depending on type and severity.


Training and consulting
=======================

Training and consulting is available for AEN and any other
Anaconda product.

For more information, please contact your account representative
or `email the sales team <mailto:sales@anaconda.com>`_.


Providing feedback
==================

Your feedback is very important to us!

Please, send us any `product feedback
<https://docs.google.com/forms/d/e/1FAIpQLSfVPSoHwCaD6PDNfbSQdizt3NVj_fooAqZNgkyHPtIrGT9VDA/viewform>`_ while you are thinking about it.


TIP: Be sure to select AEN as the Platform Component Name.

Submitting feature requests
---------------------------

We'd love to hear your ideas for consideration in future releases!

Your ideas help us build a better product. Your administrator can
submit a support ticket for you.

NOTE: You can also request new features by using the `product
feedback <https://docs.google.com/forms/d/e/1FAIpQLSfVPSoHwCaD6PDNfbSQdizt3NVj_fooAqZNgkyHPtIrGT9VDA/viewform>`_ form.




Reporting a bug
---------------

If you think you have found a bug, please contact your
administrator immediately. They will open a support ticket for
your issue.


Additional resources
====================

The following resources are useful for getting started with
Jupyter Notebooks:

* `Jupyter Notebook quick start guide
  <https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/>`_

* `Jupyter Notebook user documentation
  <https://jupyter-notebook.readthedocs.io/en/latest/#user-documentation>`_

* `GitHub <https://github.com/>`_ shows the most popular Jupyter
  notebooks of the `month
  <https://github.com/trending/jupyter-notebook?since=monthly>`_,
  `week
  <https://github.com/trending/jupyter-notebook?since=weekly>`_,
  and `day
  <https://github.com/trending/jupyter-notebook?since=daily>`_.
