lalib | A Python library to study linear algebra

by webartifex Python Version: 0.1.0 License: MIT

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

kandi X-RAY | lalib Summary

lalib is a Python library. lalib has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However lalib build file is not available. You can install using 'pip install lalib' or download it from GitHub, PyPI.

A Python library to study linear algebra

Support

Quality

Security

License

Reuse

Support

lalib 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 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of lalib is 0.1.0

Quality

lalib has no bugs reported.

Security

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

License

lalib 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

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

Deployable package is available in PyPI.

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

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lalib Key Features

No Key Features are available at this moment for lalib.

lalib Examples and Code Snippets

No Code Snippets are available at this moment for lalib.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install lalib

You can install using 'pip install lalib' or download it from GitHub, PyPI.
You can use lalib 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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