NLP_project

by sarahlittell Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | NLP_project Summary

NLP_project is a Python library. NLP_project has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However NLP_project build file is not available. You can download it from GitHub.

NLP_project

Support

Quality

Security

License

Reuse

Support

NLP_project 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.

NLP_project has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NLP_project is current.

Quality

NLP_project has no bugs reported.

Security

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

License

NLP_project 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

NLP_project releases are not available. You will need to build from source code and install.

NLP_project has no build file. You will be need to create the build yourself to build the component from source.

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NLP_project Key Features

No Key Features are available at this moment for NLP_project.

NLP_project Examples and Code Snippets

No Code Snippets are available at this moment for NLP_project.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install NLP_project

You can download it from GitHub.
You can use NLP_project like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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