docs: update python integrations documentation #16406

Job	Run time
Check if secrets are available.	3s
paths-filter	7s
Build lakeFS HadoopFS	29s
Generate code from latest lakeFS app	12s
Prepare Spark Apps	44s
Build and push rclone export Docker image	22s
login-to-amazon-ecr	7s
Build and push Docker image	2m 34s
Test lakeFS Hadoop FileSystem	3m 49s
Test lakeFS multipart upload with Hadoop S3A	1m 43s
Build metadata client for Spark 3.x	10s
Run latest lakeFS app on AWS S3 (true)	7m 58s
Test lakeFS rclone export functionality	57s
Run latest lakeFS app on AWS S3 (false)	5m 49s
Test metastore client commands using trino	1m 11s
Run latest lakeFS app on AWS S3 DynamoDB KV	6m 12s
Run latest lakeFS app on Google Cloud Platform and Google Cloud Storage	5m 42s
Run latest lakeFS app on Azure with Azure Data Lake Storage Gen2 and CosmosDB	11m 21s
Test lakeFS with Spark 3.X	9m 31s
Test lakeFS with Spark 2.X	9m 2s
Run latest lakeFS app on Azure with Azure blobstore	5m 39s
Test lakeFS against the python wrapper client	1m 37s
E2E - DynamoDB Local - Local Block Adapter	1m 38s
Quickstart	2m 3s
Run latest lakeFS app on AWS S3 + Basic Auth	6m 3s
Test changes in SDK against the python wrapper	0s
Test lakeFS metadata client export with Spark 3.x	1m 23s
Test unified gc	1m 45s
	1h 28m 11s

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