textbook | textbook Computational and Inferential Thinking

 by   data-8 Jupyter Notebook Version: fa17 License: No License

kandi X-RAY | textbook Summary

kandi X-RAY | textbook Summary

textbook is a Jupyter Notebook library. textbook has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The textbook Computational and Inferential Thinking: The Foundations of Data Science
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              textbook has a low active ecosystem.
              It has 678 star(s) with 249 fork(s). There are 61 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 20 open issues and 63 have been closed. On average issues are closed in 158 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of textbook is fa17

            kandi-Quality Quality

              textbook has no bugs reported.

            kandi-Security Security

              textbook has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              textbook does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              textbook releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            textbook Key Features

            No Key Features are available at this moment for textbook.

            textbook Examples and Code Snippets

            Compute the Qr_householder matrix .
            pythondot img1Lines of Code : 62dot img1License : Permissive (MIT License)
            copy iconCopy
            def qr_householder(A):
                """Return a QR-decomposition of the matrix A using Householder reflection.
            
                The QR-decomposition decomposes the matrix A of shape (m, n) into an
                orthogonal matrix Q of shape (m, m) and an upper triangular matrix R o  

            Community Discussions

            No Community Discussions are available at this moment for textbook.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install textbook

            To build locally, pip install -r requirements.txt and then jupyter-book build .

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/data-8/textbook.git

          • CLI

            gh repo clone data-8/textbook

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            git@github.com:data-8/textbook.git

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