lint fixes

Author: joe-clickhouse

docs/integrations/language-clients/python/advanced-querying.md

@@ -409,7 +409,6 @@ client.query('SELECT device_id, dev_address, gw_address from devices', column_fo
 | Variant               | object                  | -                 | Returns the matching Python type for the ClickHouse datatype stored for the value                                 |
 | Dynamic               | object                  | -                 | Returns the matching Python type for the ClickHouse datatype stored for the value                                 |
 
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 ## External data {#external-data}
 
 ClickHouse queries can accept external data in any ClickHouse format. This binary data is sent along with the query string to be used to process the data. Details of the External Data feature are [here](/engines/table-engines/special/external-data.md). The client `query*` methods accept an optional `external_data` parameter to take advantage of this feature. The value for the `external_data` parameter should be a `clickhouse_connect.driver.external.ExternalData` object. The constructor for that object accepts the following arguments:

docs/integrations/language-clients/python/index.md

@@ -75,7 +75,6 @@ There are two examples shown for connecting to ClickHouse:
 
 #### Use a ClickHouse Connect client instance to connect to a ClickHouse server on localhost: {#use-a-clickhouse-connect-client-instance-to-connect-to-a-clickhouse-server-on-localhost}
 
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 ```python
 import clickhouse_connect
 
@@ -88,7 +87,6 @@ client = clickhouse_connect.get_client(host='localhost', username='default', pas
 Use the connection details gathered earlier. ClickHouse Cloud services require TLS, so use port 8443.
 :::
 
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 ```python
 import clickhouse_connect