textbook | textbook Computational and Inferential Thinking
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
The textbook Computational and Inferential Thinking: The Foundations of Data Science
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Support
textbook has a low active ecosystem.
It has 678 star(s) with 249 fork(s). There are 61 watchers for this library.
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
Quality
textbook has no bugs reported.
Security
textbook has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
textbook does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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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
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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