The AWS SDK for Python

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  • License: Apache Software License (Apache License 2.0)
  • Author: Amazon Web Services
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Project description

Build Status Version Gitter

Boto3 is the Amazon Web Services (AWS) Software Development Kit (SDK) for Python, which allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2. You can find the latest, most up to date, documentation at our doc site, including a list of services that are supported.

Quick Start

First, install the library and set a default region:

$ pip install boto3

Next, set up credentials (in e.g. ~/.aws/credentials):

[default]
aws_access_key_id = YOUR_KEY
aws_secret_access_key = YOUR_SECRET

Then, set up a default region (in e.g. ~/.aws/config):

[default]
region=us-east-1

Then, from a Python interpreter:

>>> import boto3
>>> s3 = boto3.resource('s3')
>>> for bucket in s3.buckets.all():
        print(bucket.name)

Development

Getting Started

Assuming that you have Python and virtualenv installed, set up your environment and install the required dependencies like this instead of the pip install boto3 defined above:

$ git clone https://github.com/boto/boto3.git
$ cd boto3
$ virtualenv venv
...
$ . venv/bin/activate
$ pip install -r requirements.txt
$ pip install -e .

Running Tests

You can run tests in all supported Python versions using tox. By default, it will run all of the unit and functional tests, but you can also specify your own nosetests options. Note that this requires that you have all supported versions of Python installed, otherwise you must pass -e or run the nosetests command directly:

$ tox
$ tox -- unit/test_session.py
$ tox -e py26,py33 -- integration/

You can also run individual tests with your default Python version:

$ nosetests tests/unit

Generating Documentation

Sphinx is used for documentation. You can generate HTML locally with the following:

$ pip install -r requirements-docs.txt
$ cd docs
$ make html

Getting Help

We use GitHub issues for tracking bugs and feature requests and have limited bandwidth to address them. Please use these community resources for getting help:

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for aws from gravatar.com aws

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache License 2.0)
  • Author: Amazon Web Services
Classifiers

Release history Release notifications | RSS feed

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1.14.7

1.14.6

1.14.5

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1.14.0

1.13.26

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1.12.49

1.12.48

1.12.47

1.12.46

1.12.45

1.12.44

1.12.43

1.12.42

1.12.41

1.12.40

1.12.39

1.12.38

1.12.37

1.12.36

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1.12.34

1.12.33

1.12.32

1.12.31

1.12.30

1.12.29

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1.11.17

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1.10.50

1.10.49

1.10.48

1.10.47

1.10.46

1.10.45

1.10.44

1.10.43

1.10.42

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1.10.39

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1.10.37

1.10.36

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1.10.9

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1.10.0

1.9.253

1.9.252

1.9.251

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1.9.249

1.9.248

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This version

1.9.230

1.9.229

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1.9.80

1.9.79

1.9.78

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1.9.76

1.9.75

1.9.74

1.9.73

1.9.72

1.9.71

1.9.70

1.9.69

1.9.68

1.9.67

1.9.66

1.9.65

1.9.64

1.9.63

1.9.62

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1.9.59

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1.9.56

1.9.55

1.9.54

1.9.53

1.9.52

1.9.51

1.9.50

1.9.49

1.9.48

1.9.47

1.9.46

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1.9.44

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1.8.9

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1.7.84

1.7.83

1.7.82

1.7.81

1.7.80

1.7.79

1.7.78

1.7.77

1.7.76

1.7.75

1.7.74

1.7.73

1.7.72

1.7.71

1.7.70

1.7.69

1.7.68

1.7.67

1.7.66

1.7.65

1.7.64

1.7.63

1.7.62

1.7.61

1.7.60

1.7.59

1.7.58

1.7.57

1.7.56

1.7.55

1.7.54

1.7.53

1.7.52

1.7.51

1.7.50

1.7.49

1.7.48

1.7.47

1.7.46

1.7.45

1.7.44

1.7.43

1.7.42

1.7.41

1.7.40

1.7.39

1.7.38

1.7.37

1.7.36

1.7.35

1.7.34

1.7.33

1.7.32

1.7.31

1.7.30

1.7.29

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1.7.9

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1.7.1

1.7.0

1.6.23

1.6.22

1.6.21

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1.6.19

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1.6.9

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1.6.1

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1.5.36

1.5.35

1.5.34

1.5.33

1.5.32

1.5.31

1.5.30

1.5.29

1.5.28

1.5.27

1.5.26

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1.5.24

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1.5.22

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1.5.9

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1.4.8

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0.0.22

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0.0.3

0.0.2

0.0.1

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