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Documentation Index

Fetch the complete documentation index at: https://anaconda.com/docs/llms.txt

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Data Science & AI Workbench enables you to easily connect to a Redis in-memory database. Before you can do so, however, you’ll need to pip install the Python package required to connect to Redis servers: 
pip install redis
Any packages you install from the command line are available during the current session only. If you want them to persist, add them to the project’s anaconda-project.yml file. For more information, see Project configurations.
You can then import the library and use code such as this to connect to Redis from within a notebook session: 
# Import the library
import redis


queried_value = None
try:
    # Generate the connection
    r = redis.Redis(host='support-redis.dev.anaconda.com', port=6379)

    # Set and retrieve the same key
    r.set('test_key', 'This is a test value for showing redis connectivity')
    queried_value = r.get('test_key')
except Exception as e:
    print(f'Unable to connect or execute commands on Redis server: {e}')

# Print out queried value
print(queried_value.decode('utf-8'))