Python API for Developers
This library helps developers to get started with Machine Learning, Multimedia, and more.
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About
This repository contains an easy-to-use Python API with a set of high-level
abstractions that helps any beginning user to learn and develop its applications
regarding Machine Learning, multimedia, and more.
Getting Started
Prerequisites
Make sure you have the latest Yocto BSP:
- Build it by following the instructions at the Variscite Wiki, or;
- Retrieve the latest image from the Variscite FTP.
Install the Python API via Pip Tool
To install the prebuilt Python API, use the pip tool:
pip3 install pyvar
For more information, please see the python.variscite.com/software page.
Documentation and Examples
The full documentation is available at the python.variscite.com page. See a few examples at the following links:
Copyright and License
Copyright 2021-2022 Variscite LTD.
Free use of this software is granted under the terms of the BSD 3-Clause License.
Metadata
Release files for pyvar 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyvar-1.2.1.tar.gz | 17.3 kB | Without provenance | Details for pyvar-1.2.1.tar.gz |
Release files / pyvar-1.2.1.tar.gz
| Download URL | pyvar-1.2.1.tar.gz |
|---|---|
| Size | 17.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a6daf3ba5cd3dd458157c42defd2873de848f4f6cb2e9a69a5e8b8b2877e509a
|
|
BLAKE2b-256 checksum How to use checksums |
f9b3f38dba91dd787223a4c617944dbd7ee495031717e78f99c51d5f03459731
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
|
Security for pyvar 1.2.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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