To access and work with data that is in IBM Cloud Object Storage, you can use Python functions from a notebook.
With your IBM Cloud Object Storage credentials, you can access and load data from IBM Cloud Object Storage to use in a notebook. This data can be any object of type file-like-object, for example, byte buffers or string buffers. The data that you upload can reside in a different IBM Cloud Object Storage bucket than the project's bucket.
You can also upload data from a local system into IBM Cloud Object Storage from within a notebook. This data can be a compressed file or Pickle object.
See Working With IBM Cloud Object Storage In Python for more information.
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Use ibm-watson-studio-lib for Python to interact with watsonx.ai Studio projects and project assets. The library also contains functions that simplify fetching files from IBM Cloud Object Storage.
Parent topic: Loading and accessing data in a notebook