============
Integrations
============

Data science is a team sport, so we have built the Anaconda platform to be language-agnostic as well as extensible. With Anaconda integrations, you can continue to use your favorite IDEs, cloud computing platforms, virtual machine platforms, and more.

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:doc:`Cloudera <cloudera>` provides Apache Hadoop-based software, support and services, as well as training to business customers. Their open source Apache Hadoop distribution, CDH (Cloudera Distribution Including Apache Hadoop), targets enterprise-class deployments of that technology.

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:doc:`Amazon Web Services (AWS) <amazon-aws>` is a collection of cloud-computing services that make up a cloud-computing platform offered by Amazon.com.

:doc:`Docker <docker>` is an open platform for developers and system
administrators to build, ship and run distributed applications,
whether on laptops, data center virtual machines or the cloud.

Using IDEs (Integrated Development Environments) with Anaconda
==============================================================

You can use the following IDEs with Anaconda:

* :doc:`eclipse-pydev`
* :doc:`idle`
* :doc:`intellij`
* :doc:`ninja`
* :doc:`python-ptvs`
* :doc:`python-vsc`
* :doc:`spyder`
* :doc:`sublime`
* :doc:`vscode`
* :doc:`wing`

NOTE: IDEs often require you to specify the path to your Python interpreter. See :doc:`python-path`.

:doc:`Microsoft Excel <excel>`--Anaconda on Windows comes ready to bring the power of Python into Excel. Use one of the many packages included in Anaconda or connect to an outside integration tool.

.. toctree::
    :maxdepth: 1
    :hidden:

    cloudera
    amazon-aws
    docker
    eclipse-pydev
    idle
    intellij
    ninja
    python-ptvs
    python-vsc
    spyder
    sublime
    vscode
    wing
    python-path
    excel
