ofek · hugovk · Nov 30, 2022 · Nov 30, 2022 · Nov 30, 2022
diff --git a/README.rst b/README.rst
@@ -17,66 +17,9 @@ pypinfo: View PyPI download statistics with ease.
 
 pypinfo is a simple CLI to access `PyPI`_ download statistics via Google's BigQuery.
 
-Installation
-------------
-
-pypinfo is distributed on `PyPI`_ as a universal wheel and is available on
-Linux/macOS and Windows and supports Python 3.7+.
-
-This is relatively painless, I swear.
-
-**Create project**
-
-1. Go to `<https://bigquery.cloud.google.com>`_.
-2. Sign up if you haven't already. The first TB of queried data each month
-   is free. Each additional TB is $5.
-
-3. Go to `<https://console.developers.google.com/cloud-resource-manager>`_ and click
-   CREATE PROJECT if you don't already have one:
-
-   .. image:: https://user-images.githubusercontent.com/1324225/47172949-6f4ea880-d315-11e8-8587-8b8117efeae9.png
-
-4. This takes you to `<https://console.developers.google.com/projectcreate>`_. Fill out
-   the form and click CREATE. Any name is fine, but I recommend you choose something to
-   do with PyPI like pypinfo. This way you know what the project is designated for:
-
-   .. image:: https://user-images.githubusercontent.com/1324225/47173020-986f3900-d315-11e8-90ab-4b2ecd85b88e.png
-
-5. The next page should show your new project. If not, reload the page and select from
-   the top menu:
-
-   .. image:: https://user-images.githubusercontent.com/1324225/47173170-0b78af80-d316-11e8-879e-01f34e139b80.png
-
-**Enable BigQuery API**
-
-6. Go to `<https://console.cloud.google.com/apis/api/bigquery-json.googleapis.com/overview>`_
-   and make sure the correct project is chosen using the drop-down on top. Click
-   the ENABLE button:
-
-   .. image:: https://user-images.githubusercontent.com/1324225/47173408-a6718980-d316-11e8-94c2-a17ff54fc389.png
-
-7. After enabling, click CREATE CREDENTIALS:
-
-   .. image:: https://user-images.githubusercontent.com/1324225/47173432-bc7f4a00-d316-11e8-8152-6a0e6cfab70f.png
-
-8. Choose the "BigQuery API" and "No, I'm not using them":
-
-   .. image:: https://user-images.githubusercontent.com/1324225/47173510-ec2e5200-d316-11e8-8508-2bfbb8f6b02f.png
-
-9. Fill in a name, and select role "BigQuery User" (if the "BigQuery" is not an option
-   in the list, wait 15-20 minutes and try creating the credentials again), and select a
-   JSON key:
-
-   .. image:: https://user-images.githubusercontent.com/1324225/47173576-18e26980-d317-11e8-8bfe-e4775d965e32.png
-
-10. Click continue and the JSON will download to your computer. Note the download
-    location. Move the file wherever you want:
-
-   .. image:: https://user-images.githubusercontent.com/1324225/47173614-331c4780-d317-11e8-9ed2-fc76557a2bf6.png
-
-11. ``pip install pypinfo``
-12. ``pypinfo --auth path/to/your_credentials.json``, or set an environment variable
-    ``GOOGLE_APPLICATION_CREDENTIALS`` that points to the file.
+* `Usage <#usage>`_
+* `Installation <#installation>`_
+* `Credits <#credits>`_
 
 Usage
 -----
@@ -367,6 +310,67 @@ We can also use it to query stats on an exact version:
     | 3.10           | 1.23.0rc3 |   8.33% |              5 |
     | Total          |           |         |             60 |
 
+Installation
+------------
+
+pypinfo is distributed on `PyPI`_ as a universal wheel and is available on
+Linux/macOS and Windows and supports Python 3.7+.
+
+This is relatively painless, I swear.
+
+**Create project**
+
+1. Go to `<https://bigquery.cloud.google.com>`_.
+2. Sign up if you haven't already. The first TB of queried data each month
+   is free. Each additional TB is $5.
+
+3. Go to `<https://console.developers.google.com/cloud-resource-manager>`_ and click
+   CREATE PROJECT if you don't already have one:
+
+   .. image:: https://user-images.githubusercontent.com/1324225/47172949-6f4ea880-d315-11e8-8587-8b8117efeae9.png
+
+4. This takes you to `<https://console.developers.google.com/projectcreate>`_. Fill out
+   the form and click CREATE. Any name is fine, but I recommend you choose something to
+   do with PyPI like pypinfo. This way you know what the project is designated for:
+
+   .. image:: https://user-images.githubusercontent.com/1324225/47173020-986f3900-d315-11e8-90ab-4b2ecd85b88e.png
+
+5. The next page should show your new project. If not, reload the page and select from
+   the top menu:
+
+   .. image:: https://user-images.githubusercontent.com/1324225/47173170-0b78af80-d316-11e8-879e-01f34e139b80.png
+
+**Enable BigQuery API**
+
+6. Go to `<https://console.cloud.google.com/apis/api/bigquery-json.googleapis.com/overview>`_
+   and make sure the correct project is chosen using the drop-down on top. Click
+   the ENABLE button:
+
+   .. image:: https://user-images.githubusercontent.com/1324225/47173408-a6718980-d316-11e8-94c2-a17ff54fc389.png
+
+7. After enabling, click CREATE CREDENTIALS:
+
+   .. image:: https://user-images.githubusercontent.com/1324225/47173432-bc7f4a00-d316-11e8-8152-6a0e6cfab70f.png
+
+8. Choose the "BigQuery API" and "No, I'm not using them":
+
+   .. image:: https://user-images.githubusercontent.com/1324225/47173510-ec2e5200-d316-11e8-8508-2bfbb8f6b02f.png
+
+9. Fill in a name, and select role "BigQuery User" (if the "BigQuery" is not an option
+   in the list, wait 15-20 minutes and try creating the credentials again), and select a
+   JSON key:
+
+   .. image:: https://user-images.githubusercontent.com/1324225/47173576-18e26980-d317-11e8-8bfe-e4775d965e32.png
+
+10. Click continue and the JSON will download to your computer. Note the download
+    location. Move the file wherever you want:
+
+   .. image:: https://user-images.githubusercontent.com/1324225/47173614-331c4780-d317-11e8-9ed2-fc76557a2bf6.png
+
+11. ``pip install pypinfo``
+12. ``pypinfo --auth path/to/your_credentials.json``, or set an environment variable
+    ``GOOGLE_APPLICATION_CREDENTIALS`` that points to the file.
+
 Credits
 -------