ndb_2019 | National Data Science Bowl

by bishwarup307 Python Version: Current License: No License

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

kandi X-RAY | ndb_2019 Summary

ndb_2019 is a Python library. ndb_2019 has no bugs, it has no vulnerabilities and it has low support. However ndb_2019 build file is not available. You can download it from GitHub.

National Data Science Bowl 2019

Support

Quality

Security

License

Reuse

Support

ndb_2019 has a low active ecosystem.

It has 10 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

ndb_2019 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ndb_2019 is current.

Quality

ndb_2019 has no bugs reported.

Security

ndb_2019 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ndb_2019 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.

Reuse

ndb_2019 releases are not available. You will need to build from source code and install.

ndb_2019 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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ndb_2019 Key Features

No Key Features are available at this moment for ndb_2019.

ndb_2019 Examples and Code Snippets

No Code Snippets are available at this moment for ndb_2019.

Community Discussions

No Community Discussions are available at this moment for ndb_2019.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install ndb_2019

You can download it from GitHub.
You can use ndb_2019 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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