fix for readthedocs markdown

graphistry · Jan 20, 2025 · c8941a7 · c8941a7
1 parent 63598fd
commit c8941a7
Showing 1 changed file with 20 additions and 13 deletions.
diff --git a/demos/demos_databases_apis/spanner/google_spanner_finance_graph.ipynb b/demos/demos_databases_apis/spanner/google_spanner_finance_graph.ipynb
@@ -25,7 +25,7 @@
    "id": "814017ae-af4e-4331-b0b0-ed016d010ade",
    "metadata": {},
    "source": [
-    "## Demo Notebook - Graphistry and Google Spanner Graph \n",
+    "# Demo Notebook - Graphistry and Google Spanner Graph \n",
     "\n",
     "This interactive guide demonstrates how to combine the power of Graphistry's visual graph analytics and AI with the robust data capabilities of Google Cloud Spanner Graph. \n",
     "\n",
@@ -43,15 +43,14 @@
     "This notebook showcases:\n",
     "1. **Connecting to Cloud Spanner**: How to retrieve and preprocess data from Cloud Spanner for graph processing.\n",
     "2. **Graph Visualization with Graphistry**: Turning raw data into meaningful visualizations to explore relationships and clusters.\n",
-    "3. **Real-World Use Cases**: Applying these tools to solve practical problems such as anomaly detection, recommendation systems, and network optimization.\n",
+    "3. **Real-World Use Cases**: Applying these tools to solve practical problems \n",
     "\n",
     "#### Who Is This For?\n",
     "\n",
     "This demo is designed for:\n",
     "- **Data Scientists**: Interested in adding visual graph analytics to their toolkit.\n",
     "- **Database Engineers**: Looking to integrate graph capabilities into their Cloud Spanner workflows.\n",
-    "- **Application Developer**: Prototyping applications built \n",
-    "- **Decision Makers**: Exploring actionable insights from complex datasets.\n",
+    "- **Application Developer**: Prototyping applications built using Graphistry and Google Spanner \n",
     "\n",
     "#### Prerequisites\n",
     "\n",
@@ -94,7 +93,7 @@
    "id": "1407509d-f079-4f66-bc5f-bd93c9510d09",
    "metadata": {},
    "source": [
-    "### Settings"
+    "## Settings"
    ]
   },
   {
@@ -132,7 +131,7 @@
    "id": "97649200-c7ab-4041-bb19-f7ab6363ead3",
    "metadata": {},
    "source": [
-    "### Graphistry register and gcloud init"
+    "## Graphistry register and gcloud init"
    ]
   },
   {
@@ -192,7 +191,7 @@
    "id": "c2b02e8c-e919-4260-8979-d22f7ac86002",
    "metadata": {},
    "source": [
-    "### Example 1: GQL Path Query to Graphistry Visualization of all nodes and edges (LIMIT optional) \n",
+    "## Example 1: GQL Path Query to Graphistry Visualization of all nodes and edges (LIMIT optional) \n",
     "\n",
     "to extract the data from Spanner Graph as a graph with nodes and edges in a single object, a GQL path query is required. \n",
     "\n",
@@ -242,7 +241,7 @@
    "id": "bc18a3ad-c8bc-48cf-8ef5-bc0013ae3fa0",
    "metadata": {},
    "source": [
-    "#### Example 1.1 - inspect contents of graphistry graph (nodes and edges): "
+    "### Example 1.1 - inspect contents of graphistry graph (nodes and edges): "
    ]
   },
   {
@@ -288,7 +287,7 @@
    "id": "d3a6150b-3513-4c3d-a696-2b1e9b273a42",
    "metadata": {},
    "source": [
-    "### Example 2: Quantified path traversal \n",
+    "## Example 2: Quantified path traversal \n",
     "(slightly modified from example to use a path query for visualization)\n",
     "\n",
     "from: [spanner-graph-getting-started](https://codelabs.developers.google.com/codelabs/spanner-graph-getting-started#6)\n",
@@ -371,7 +370,7 @@
    "id": "1a6dbcab-a791-4b60-8d50-51c5e99b268f",
    "metadata": {},
    "source": [
-    "### Example 3: Spanner GQL Tabular Query to pandas dataframe (LIMIT optional) \n",
+    "## Example 3: Spanner GQL Tabular Query to pandas dataframe (LIMIT optional) \n",
     "\n",
     "This example shows a non-path query that returns tabular results, which are then convered to a dataframe for easy manipulation and inspection of the results. \n",
     "\n",
@@ -431,7 +430,7 @@
    "id": "caee2321-a96c-4eeb-8166-5359b7a63687",
    "metadata": {},
    "source": [
-    "### Example 4: Spanner SQL Query to pandas dataframe \n",
+    "## Example 4: Spanner SQL Query to pandas dataframe \n",
     "\n",
     "This example shows a SQL query to Spanner that returns tabular results, which are then convered to a dataframe for easy manipulation and inspection of the results. \n",
     "<br>\n",
@@ -474,7 +473,7 @@
    "id": "892cd8dc-6b0d-4ef2-a8d7-49a7ab798355",
    "metadata": {},
    "source": [
-    "### Example 5: Spanner SQL Query to inspect the database schema\n",
+    "## Example 5: Spanner SQL Query to inspect the database schema\n",
     "\n",
     "This example shows a SQL query to Spanner that retrieves the tables, columns and types from the information schema in Spanner. This can be helpful for seeing what's available in the database or using this data as part of a workflow. \n",
     "<br>\n",
@@ -628,8 +627,16 @@
     "</footer>\n",
     "\n",
     "</body>\n",
-    "</html>"
+    "</html>\n"
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