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Getting started with CloudQuant Data Liberator for Python

This guide introduces the CloudQuant Data Liberator library, available across multiple programming languages via the CloudQuant API platform.

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Basic setup

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Quick start

For environments where CloudQuant Data Liberator is pre-installed, simply use:

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Installation steps

If adding CloudQuant Data Liberator to your own Python environment (local installation, Jupyter, or IDE):
  1. Download the required files from your Liberator Profile page
  2. Install dependencies:
  1. Place files in either:
    • The same folder as your code, or
    • A central Python location (liberator.py only — see note below)
Putting liberator.py in site-packages lets you import liberator from anywhere, but liberator.json is still read from your working directory unless you set liberator.auth = '/path/to/liberator.json'.
To find your Python’s site-packages directory:

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Required files

As of release version 2.0, liberator.pfx is no longer required. If you are on a release prior to 2.0, you must also include liberator.pfx.

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Server configuration

Files downloaded from your Liberator Profile page include the correct server URL preconfigured in the client.

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Override server URL

To connect to a different instance, set the URL explicitly:
Use https:// for domain names and http:// for direct IP addresses. Specify port numbers as shown above when required.
Once your client is configured, you are ready to begin pulling data.