<jupyter_start><jupyter_text>Workspace AdministrationObjective: Learn how to manage and workspace + guests. To follow along, use the `default` cotent code when registering on the Platform or create a new workspace with this code.Reference the latest SDK Documentation at https://sdk.rendered.aiA workspace within an organization is where all the dataset computation and storage happens. You must be in a workspace to run any type of job or download datasets. A workspace can be used to organize datasets by a certain type of channel or to manage guests that will have access to it.   Get the latest `anatools`<jupyter_code>pip install anatools --upgrade<jupyter_output><empty_output><jupyter_text>Set up imports and log into the SDKThese imports are required for this Notebook to run. Enter your credentials at the prompts. Logging in successfully will list the organizations and workspaces you have access to.<jupyter_code>from zipfile import ZipFile
from matplotlib.pyplot import imshow
from matplotlib import pyplot as plt
import numpy as np
from PIL import Image
import glob
import json
import pprint
import time 
import anatools

pp = pprint.PrettyPrinter(indent=4)
sdk = anatools.client()<jupyter_output>Enter your credentials for the Rendered.ai Platform.
Email: <EMAIL>
········
These are your organizations and workspaces:
    default Organization                          e8af8e7e-60d3-415f-a88d-9f4e191afec4              
	Example                                   c721696e-648f-4572-a9ca-5dd72f1e8f58              
The current workspaces is: c721696e-648f-4572-a9ca-5dd72f1e8f58<jupyter_text>View Your Workspace DataAs a **guest** of a workspace, you can- create, edit, and delete graphs - create new datasets by running jobs- run analytics, annotations, and GAN jobs- view channels that are available within the workspace to use to generate synthetic data with `get_channels()`Use `get_workspaces()` to obtain information about the workspaces you have access to.<jupyter_code>sdk.get_workspaces()<jupyter_output><empty_output>
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