Some material and code in these python notes owe grateful acknowledgements to various online tutorial resources and open source projects, including but not limited to:
- https://pymotw.com/
- https://realpython.com/
- http://www.dabeaz.com/
- https://medium.com/
- Apache Airflow: https://github.com/apache/airflow
- aiobotocore: https://github.com/aio-libs/aiobotocore
- botocore: https://github.com/boto/botocore
- moto: https://github.com/spulec/moto
In the event there are similarities or snippets of online materials that could be considered derivative works, the source copyrights carry through to this work to the extent they apply to the claimed derivative works. Any similarities to open source projects with license terms should also be considered to apply here to the extent applicable and their git/github repositories are to be consulted for details of their license terms. If there are any specific notices that should be added here, please open an issue on this project to add the required notice or references.
From source-code
All of the prose from the Python Module of the Week is licensed under
a Creative Commons Attribution, Non-commercial, Share-alike 4.0
license (http://creativecommons.org/licenses/by-nc-sa/4.0/us/). You
are free to share and create derivative works from it. If you post
the material online, you must give attribution and link to the PyMOTW
home page (https://pymotw.com/). You may not use this work for
commercial purposes. If you alter, transform, or build upon this
work, you may distribute the resulting work only under the same or
similar license to this one.
The source code included here is copyright Doug Hellmann and licensed
under the BSD license.
Copyright (c) 2015, Doug Hellmann, All Rights Reserved
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ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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