nlp100 | 言語処理100本ノックをソースコードを書いてみる。

by laikuaut Python Version: Current License: MIT

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

kandi X-RAY | nlp100 Summary

nlp100 is a Python library. nlp100 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However nlp100 build file is not available. You can download it from GitHub.

言語処理100本ノックをソースコードを書いてみる。

Support

Quality

Security

License

Reuse

Support

nlp100 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.

nlp100 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nlp100 is current.

Quality

nlp100 has no bugs reported.

Security

nlp100 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

nlp100 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

nlp100 releases are not available. You will need to build from source code and install.

nlp100 has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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nlp100 Key Features

No Key Features are available at this moment for nlp100.

nlp100 Examples and Code Snippets

No Code Snippets are available at this moment for nlp100.

Community Discussions

No Community Discussions are available at this moment for nlp100.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install nlp100

You can download it from GitHub.
You can use nlp100 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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