README #
[![Mentioned in Awesome V][awesomevbadge]][awesomevurl] [![Continuous Integration][workflowbadge]][workflowurl] [![Deploy Documentation][deploydocsbadge]][deploydocsurl] [![License: MIT][licensebadge]][licenseurl]
import vtl
t := vtl.from_array([1.0, 2, 3, 4], [2, 2])!
t.get([1, 1])
// 4.0VTL Provides
- An n-dimensional
Tensordata structure - Sophisticated reduction, elementwise, and accumulation operations
- Data Structures that can easily be passed to C libraries
- Powerful linear algebra routines backed by VSL.
In the docs you can find more information about this module
Installation
Install dependencies (optional)
We use VSL as backend for some functionalities. VTL requires VSL's linear algebra module. If you wish you to use vtl without these, the vtl module will still function as normal.
Follow this install instructions at VSL docs in order to install VSL with all needed dependencies.
Install VTL
v install vtlDone. Installation completed.
Testing
To test the module, just type the following command:
v test .License
Contributors
This work was originally based on the work done by > Christopher (christopherzimmerman).
The development of this library continues its course after having reimplemented its core > and a large part of its interface. In the same way, we do not want to stop recognizing > the work and inspiration that the library done by Christopher has given.
Made with contributors-img.
[awesomevbadge]: https://awesome.re/mentioned-badge.svg [workflowbadge]: https://github.com/vlang/vtl/actions/workflows/ci.yml/badge.svg [deploydocsbadge]: https://github.com/vlang/vtl/actions/workflows/deploy-docs.yml/badge.svg [licensebadge]: https://img.shields.io/badge/License-MIT-blue.svg [awesomevurl]: https://github.com/vlang/awesome-v/blob/master/README.md#scientific-computing [workflowurl]: https://github.com/vlang/vtl/actions/workflows/ci.yml [deploydocsurl]: https://github.com/vlang/vtl/actions/workflows/deploy-docs.yml [licenseurl]: https://github.com/vlang/vtl/blob/main/LICENSE