Metadata-Version: 2.0 Name: boto3 Version: 1.9.71 Summary: The AWS SDK for Python Home-page: https://github.com/boto/boto3 Author: Amazon Web Services Author-email: UNKNOWN License: Apache License 2.0 Platform: UNKNOWN Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Developers Classifier: Natural Language :: English Classifier: License :: OSI Approved :: Apache Software License Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2.6 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.3 Classifier: Programming Language :: Python :: 3.4 Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Requires-Dist: botocore>=1.12.71,<1.13.0 Requires-Dist: jmespath>=0.7.1,<1.0.0 Requires-Dist: s3transfer>=0.1.10,<0.2.0 =============================== Boto 3 - The AWS SDK for Python =============================== |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. .. _boto: https://docs.pythonboto.org/ .. _`doc site`: https://boto3.amazonaws.com/v1/documentation/api/latest/index.html .. |Build Status| image:: http://img.shields.io/travis/boto/boto3/develop.svg?style=flat :target: https://travis-ci.org/boto/boto3 :alt: Build Status .. |Gitter| image:: https://badges.gitter.im/boto/boto3.svg :target: https://gitter.im/boto/boto3 :alt: Gitter .. |Downloads| image:: http://img.shields.io/pypi/dm/boto3.svg?style=flat :target: https://pypi.python.org/pypi/boto3/ :alt: Downloads .. |Version| image:: http://img.shields.io/pypi/v/boto3.svg?style=flat :target: https://pypi.python.org/pypi/boto3/ :alt: Version .. |License| image:: http://img.shields.io/pypi/l/boto3.svg?style=flat :target: https://github.com/boto/boto3/blob/develop/LICENSE :alt: License Quick Start ----------- First, install the library and set a default region: .. code-block:: sh $ pip install boto3 Next, set up credentials (in e.g. ``~/.aws/credentials``): .. code-block:: ini [default] aws_access_key_id = YOUR_KEY aws_secret_access_key = YOUR_SECRET Then, set up a default region (in e.g. ``~/.aws/config``): .. code-block:: ini [default] region=us-east-1 Then, from a Python interpreter: .. code-block:: python >>> 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: .. code-block:: sh $ 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: .. code-block:: sh $ tox $ tox -- unit/test_session.py $ tox -e py26,py33 -- integration/ You can also run individual tests with your default Python version: .. code-block:: sh $ nosetests tests/unit Generating Documentation ~~~~~~~~~~~~~~~~~~~~~~~~ Sphinx is used for documentation. You can generate HTML locally with the following: .. code-block:: sh $ 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: * Ask a question on `Stack Overflow `__ and tag it with `boto3 `__ * Come join the AWS Python community chat on `gitter `__ * Open a support ticket with `AWS Support `__ * If it turns out that you may have found a bug, please `open an issue `__