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.
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.
Amazon Web Services (AWS) is a collection of cloud-computing services that make up a cloud-computing platform offered by Amazon.com.
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.
Anaconda makes it easy to install TensorFlow, enabling your data science, machine learning, and artificial intelligence workflows.
Using IDEs (Integrated Development Environments) with Anaconda¶
You can use the following IDEs with Anaconda:
- Eclipse and PyDev
- Ninja IDE
- Python Tools for Visual Studio (PTVS)
- Python for Visual Studio Code
- Sublime Text
- Microsoft Visual Studio Code (VS Code)
- Wing IDE
NOTE: IDEs often require you to specify the path to your Python interpreter. See Finding your Anaconda Python interpreter path.
Microsoft 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.