FreeTier module#
Index > FreeTier
Auto-generated documentation for FreeTier type annotations stubs module mypy-boto3-freetier.
How to install#
VSCode extension#
Add AWS Boto3
extension to your VSCode and run AWS boto3: Quick Start
command.
Click Modify
and select boto3 common
and FreeTier
.
From PyPI with pip#
Install boto3-stubs
for FreeTier
service.
# install with boto3 type annotations
python -m pip install 'boto3-stubs[freetier]'
# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'boto3-stubs-lite[freetier]'
# standalone installation
python -m pip install mypy-boto3-freetier
How to uninstall#
python -m pip uninstall -y mypy-boto3-freetier
Usage#
Code samples can be found in Examples.
FreeTierClient#
Type annotations and code completion for boto3.client("freetier")
as FreeTierClient
boto3 documentation
# FreeTierClient usage example
from boto3.session import Session
from mypy_boto3_freetier.client import FreeTierClient
def get_client() -> FreeTierClient:
return Session().client("freetier")
Paginators#
Type annotations and code completion for paginators
from boto3.client("freetier").get_paginator("...")
.
# GetFreeTierUsagePaginator usage example
from boto3.session import Session
from mypy_boto3_freetier.paginator import GetFreeTierUsagePaginator
def get_get_free_tier_usage_paginator() -> GetFreeTierUsagePaginator:
return Session().client("freetier").get_paginator("get_free_tier_usage"))
Literals#
Type annotations for literals used in methods and schema.
# DimensionType usage example
from mypy_boto3_freetier.literals import DimensionType
def get_value() -> DimensionType:
return "DESCRIPTION"
- DimensionType
- GetFreeTierUsagePaginatorName
- MatchOptionType
- FreeTierServiceName
- ServiceName
- ResourceServiceName
- PaginatorName
Type definitions#
Type annotations for type definitions used in methods and schema.