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14 changes: 7 additions & 7 deletions README.rst
Original file line number Diff line number Diff line change
Expand Up @@ -27,10 +27,13 @@ Prerequisites

* Install the ``bigframes`` package.
* Create a Google Cloud project and billing account.
* When running locally, authenticate with application default credentials. See
the `gcloud auth application-default login
<https://cloud.google.com/sdk/gcloud/reference/auth/application-default/login>`_
reference.
* In an interactive environment (like Notebook, Python REPL or command line),
``bigframes`` will do the authentication on-the-fly if needed. Otherwise, see
`how to set up application default credentials <https://cloud.google.com/docs/authentication/provide-credentials-adc>`_
for various environments. For example, to pre-authenticate on your laptop you can
`install and initialize the gcloud CLI <https://cloud.google.com/sdk/docs/install>`_,
and then generate the application default credentials by doing
`gcloud auth application-default login <https://cloud.google.com/sdk/gcloud/reference/auth/application-default/login>`_.

Code sample
^^^^^^^^^^^
Expand Down Expand Up @@ -286,9 +289,6 @@ created by BigQuery DataFrames are prefixed by ``bigframes``.

**Requirements**

BigQuery DataFrames uses the ``gcloud`` command-line interface internally,
so you must run ``gcloud auth login`` before using remote functions.

To use BigQuery DataFrames remote functions, you must enable the following APIs:

* The BigQuery API (bigquery.googleapis.com)
Expand Down