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python/example_code/s3/README.md

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@@ -88,6 +88,7 @@ functions within the same service.
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- [Create an Amazon Textract explorer application](../../cross_service/textract_explorer)
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- [Detect entities in text extracted from an image](../../cross_service/textract_comprehend_notebook)
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- [Detect objects in images](../../cross_service/photo_analyzer)
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- [Make conditional requests](scenarios/conditional_requests/scenario.py)
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- [Manage versioned objects in batches with a Lambda function](../../example_code/s3/s3_versioning)
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- [Upload or download large files](file_transfer/file_transfer.py)
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- [Work with versioned objects](s3_versioning/versioning.py)
@@ -190,6 +191,24 @@ This example shows you how to build an app that uses Amazon Rekognition to detec
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<!--custom.scenarios.cross_RekognitionPhotoAnalyzer.start-->
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<!--custom.scenarios.cross_RekognitionPhotoAnalyzer.end-->
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#### Make conditional requests
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This example shows you how to add preconditions to Amazon S3 requests.
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<!--custom.scenario_prereqs.s3_Scenario_ConditionalRequests.start-->
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<!--custom.scenario_prereqs.s3_Scenario_ConditionalRequests.end-->
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Start the example by running the following at a command prompt:
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```
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python scenarios/conditional_requests/scenario.py
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```
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<!--custom.scenarios.s3_Scenario_ConditionalRequests.start-->
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<!--custom.scenarios.s3_Scenario_ConditionalRequests.end-->
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#### Manage versioned objects in batches with a Lambda function
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This example shows you how to manage versioned S3 objects in batches with a Lambda function.

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