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LICENSE.md

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# License
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Copyright (c) 2022 Tiffany A. Timbers, Trevor Campbell, Melissa Lee
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This textbook (source contained in the [`introduction-to-datascience-python` repository](https://github.com/UBC-DSCI/introduction-to-datascience-python)) is made available under the **Attribution-NonCommercial-ShareAlike 4.0 International** ([CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)).
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This is a human-readable summary of (and not a substitute for) the [license](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
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## You are free to:
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- **Share** — copy and redistribute the material in any medium or format
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- **Adapt** — remix, transform, and build upon the material
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The licensor cannot revoke these freedoms as long as you follow the license terms.
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## Under the following terms:
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- **Attribution** — You must give appropriate credit (mentioning that your work is derived from work that is Copyright © Tiffany A. Timbers, Trevor Campbell, Melissa Lee and, where practical, linking to https://datasciencebook.ca/), provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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- **NonCommercial** — You may not use the material for commercial purposes.
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- **ShareAlike** — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
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**No additional restrictions** — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
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## Notices:
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You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
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No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
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README.md

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## Data Science: A First Introduction (Python Edition)
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This is the source for the python edition of the *Data Science: A First Introduction* textbook.
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For the R version of the textbook, please visit https://datasciencebook.ca or the github repository
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at https://github.com/ubc-dsci/introduction-to-datascience .
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## License Information
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This textbook is offered under
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the [Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License](https://creativecommons.org/licenses/by-nc-sa/4.0/).
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See [the license file](LICENSE.md) for more information.
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## Setup and Build
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In order to build the book, you need to first install Docker
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(instructions here: [https://docs.docker.com/get-docker/](https://docs.docker.com/get-docker/)).
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You can then build the book by running
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```
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./build_html.sh
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```
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in the root directory of this repository. The book can be viewed in your browser by opening the `source/_build/html/index.html` file.
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