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 # Couchbase Python Analytics Client
 Python client for [Couchbase](https://couchbase.com) Analytics.
+
+Currently Python 3.9 - Python 3.13 is supported.
+
+The Analytics SDK supports static typing.  Currently only [mypy](https://github.com/python/mypy) is supported.  You mileage may vary (YMMV) with the use of other static type checkers (e.g. [pyright](https://github.com/microsoft/pyright)).
+
+# Installing the SDK<a id="installing-the-sdk"></a>
+
+Until a version is available on PyPI, the SDK can be installed via pip with the following command (note the `dev` branch in the url).
+
+Install the SDK via `pip`:
+```console
+python3 -m pip install git+https://github.com/couchbaselabs/analytics-python-client@dev
+```
+
+# Using the SDK<a id="using-the-sdk"></a>
+
+Some more examples are provided in the [examples directory](https://github.com/couchbaselabs/analytics-python-client/tree/dev/examples).
+
+**Connecting and executing a query**
+```python
+from couchbase_analytics.cluster import Cluster
+from couchbase_analytics.credential import Credential
+from couchbase_analytics.options import QueryOptions
+
+
+def main() -> None:
+    # Update this to your cluster
+    # IMPORTANT:  The appropriate port needs to be specified. The SDK's default ports are 80 (http) and 443 (https).
+    #             If attempting to connect to Capella, the correct ports are most likely to be 8095 (http) and 18095 (https).
+    #             Capella example: https://cb.2xg3vwszqgqcrsix.cloud.couchbase.com:18095
+    endpoint = 'https://--your-instance--'
+    username = 'username'
+    pw = 'password'
+    # User Input ends here.
+
+    cred = Credential.from_username_and_password(username, pw)
+    cluster = Cluster.create_instance(endpoint, cred)
+
+    # Execute a query and buffer all result rows in client memory.
+    statement = 'SELECT * FROM `travel-sample`.inventory.airline LIMIT 10;'
+    res = cluster.execute_query(statement)
+    all_rows = res.get_all_rows()
+    for row in all_rows:
+        print(f'Found row: {row}')
+    print(f'metadata={res.metadata()}')
+
+    # Execute a query and process rows as they arrive from server.
+    statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country="United States" LIMIT 10;'
+    res = cluster.execute_query(statement)
+    for row in res.rows():
+        print(f'Found row: {row}')
+    print(f'metadata={res.metadata()}')
+
+    # Execute a streaming query with positional arguments.
+    statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$1 LIMIT $2;'
+    res = cluster.execute_query(statement, QueryOptions(positional_parameters=['United States', 10]))
+    for row in res:
+        print(f'Found row: {row}')
+    print(f'metadata={res.metadata()}')
+
+    # Execute a streaming query with named arguments.
+    statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$country LIMIT $limit;'
+    res = cluster.execute_query(statement, QueryOptions(named_parameters={'country': 'United States',
+                                                                          'limit': 10}))
+    for row in res.rows():
+        print(f'Found row: {row}')
+    print(f'metadata={res.metadata()}')
+
+
+if __name__ == '__main__':
+    main()
+
+```
+
+## Using the async API
+```python
+import asyncio
+
+from acouchbase_analytics.cluster import AsyncCluster
+from acouchbase_analytics.credential import Credential
+from acouchbase_analytics.options import QueryOptions
+
+
+async def main() -> None:
+    # Update this to your cluster
+    # IMPORTANT:  The appropriate port needs to be specified. The SDK's default ports are 80 (http) and 443 (https).
+    #             If attempting to connect to Capella, the correct ports are most likely to be 8095 (http) and 18095 (https).
+    #             Capella example: https://cb.2xg3vwszqgqcrsix.cloud.couchbase.com:18095
+    endpoint = 'https://--your-instance--'
+    username = 'username'
+    pw = 'password'
+    # User Input ends here.
+
+    cred = Credential.from_username_and_password(username, pw)
+    cluster = AsyncCluster.create_instance(endpoint, cred)
+
+    # Execute a query and buffer all result rows in client memory.
+    statement = 'SELECT * FROM `travel-sample`.inventory.airline LIMIT 10;'
+    res = await cluster.execute_query(statement)
+    all_rows = await res.get_all_rows()
+    # NOTE: all_rows is a list, _do not_ use `async for`
+    for row in all_rows:
+        print(f'Found row: {row}')
+    print(f'metadata={res.metadata()}')
+
+    # Execute a query and process rows as they arrive from server.
+    statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country="United States" LIMIT 10;'
+    res = await cluster.execute_query(statement)
+    async for row in res.rows():
+        print(f'Found row: {row}')
+    print(f'metadata={res.metadata()}')
+
+    # Execute a streaming query with positional arguments.
+    statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$1 LIMIT $2;'
+    res = await cluster.execute_query(statement, QueryOptions(positional_parameters=['United States', 10]))
+    async for row in res:
+        print(f'Found row: {row}')
+    print(f'metadata={res.metadata()}')
+
+    # Execute a streaming query with named arguments.
+    statement = 'SELECT * FROM `travel-sample`.inventory.airline WHERE country=$country LIMIT $limit;'
+    res = await cluster.execute_query(statement, QueryOptions(named_parameters={'country': 'United States',
+                                                                                'limit': 10}))
+    async for row in res.rows():
+        print(f'Found row: {row}')
+    print(f'metadata={res.metadata()}')
+
+if __name__ == '__main__':
+    asyncio.run(main())
+
+```