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DataPipeline module#

Index > DataPipeline

Auto-generated documentation for DataPipeline type annotations stubs module types-aiobotocore-datapipeline.

How to install#

From PyPI with pip#

Install types-aiobotocore for DataPipeline service.

# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[datapipeline]'


# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-aiobotocore-lite[datapipeline]'


# standalone installation
python -m pip install types-aiobotocore-datapipeline

How to uninstall#

python -m pip uninstall -y types-aiobotocore-datapipeline

Usage#

Code samples can be found in Examples.

DataPipelineClient#

Type annotations and code completion for session.create_client("datapipeline") as DataPipelineClient boto3 documentation

# DataPipelineClient usage example

from aiobotocore.session import get_session

from types_aiobotocore_datapipeline.client import DataPipelineClient


session = get_session()
async with session.create_client("datapipeline") as client:
    client: DataPipelineClient

Paginators#

Type annotations and code completion for paginators from session.create_client("datapipeline").get_paginator("...").

# DescribeObjectsPaginator usage example

from types_aiobotocore_datapipeline.paginator import DescribeObjectsPaginator

def get_describe_objects_paginator() -> DescribeObjectsPaginator:
    return client.get_paginator("describe_objects"))

Literals#

Type annotations for literals used in methods and schema.

# DescribeObjectsPaginatorName usage example

from types_aiobotocore_datapipeline.literals import DescribeObjectsPaginatorName

def get_value() -> DescribeObjectsPaginatorName:
    return "describe_objects"

Type definitions#

Type annotations for type definitions used in methods and schema.