JupyterLab Extension for INFACore > Introducing JupyterLab extension for INFACore > Got a question?
  

Got a question?

Have a quick question on INFACore? Check out these questions and answers.
Do I need to use the JupyterLab extension for INFACore to use the INFACore Python SDK?
No, the INFACore Python SDK works independently of the JupyterLab extension for INFACore. You can call the INFACore functions using the SDK directly within any Python development environment after importing the SDK dependent libraries and packages.
However, if you are using the JupyterLab extension for INFACore, you also need the INFACore Python SDK. The extension provides you with a user interface with interactive controls that you can use to perform simple tasks such as to log into INFACore and perform basic functions, which helps you speed up the development process. The Python SDK works alongside the extension to invoke the INFACore methods and classes.
What programming language does the INFACore SDK support?
INFACore includes the SDK for the Python programming language with which you can leverage the functionalities of INFACore.
For more information about the INFACore Python SDK, see the INFACore SDK Reference for Python.
What operating system does the JupyterLab extension for INFACore support?
INFACore extension for JupyterLab supports the Windows and Linux operating systems.
What browsers can I use?
You can use the latest versions of the following browsers:
Can I use INFACore to access any data source?
You can connect to around 70 data sources. See the Connections documentation to view the list of data sources that you can access using INFACore.