laps_spending | Los Alamos Public School Spending Analysis
kandi X-RAY | laps_spending Summary
kandi X-RAY | laps_spending Summary
laps_spending is a Jupyter Notebook library. laps_spending has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Los Alamos Public School Spending Analysis
Los Alamos Public School Spending Analysis
Support
Quality
Security
License
Reuse
Support
laps_spending has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
laps_spending has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of laps_spending is current.
Quality
laps_spending has no bugs reported.
Security
laps_spending has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
laps_spending is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
laps_spending 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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of laps_spending
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of laps_spending
laps_spending Key Features
No Key Features are available at this moment for laps_spending.
laps_spending Examples and Code Snippets
No Code Snippets are available at this moment for laps_spending.
Community Discussions
No Community Discussions are available at this moment for laps_spending.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install laps_spending
This project uses Jupyter Notebook. One way to use it is through the Jupyter extension in VS Code. Another way to use Jupyter Notebook is through Docker. Once you have Docker, run the following command from the project directory:. You can change port 10000 to something else if you like.
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 .
Find more information at:
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