Skip to main content

internal bus

Project description

maglev

Contents

Source Code and Documentation

Licensing

This package is dual-licensed under the MIT and CPAL-1.0 licenses.

To obtain a version licensed under the MIT License, follow the instructions at get a license.

Requirements

  • Requires Python 3.x. Due to security fixes and new features Python 3.7 or later is recommended.
  • pip

Third-party dependencies may have additional requirements.

Installation

You can retrieve the maglev package from the Python Package Index https://pypi.org/ using pip. First make sure you have python3 and python3-pip installed. Then you can start by making a requirements.txt file in your working directory with the maglev requirement in it. You can add any other packages to your requirements here, each as a separate line.

requirements.txt:

mindpowered-maglev>0

Now you can use pip to install the maglev package: python3 -m pip install -r requirements.txt If you would like to update the package, simply run the above command again.

Support

We are here to support using this package. If it doesn't do what you're looking for, isn't working, or you just need help, please Contact us.

There is also a public Issue Tracker available for this package.

Documentation - PYTHON README - maglev

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

mindpowered_maglev-0.7.19-py3-none-any.whl (67.6 kB view details)

Uploaded Python 3

File details

Details for the file mindpowered_maglev-0.7.19-py3-none-any.whl.

File metadata

  • Download URL: mindpowered_maglev-0.7.19-py3-none-any.whl
  • Upload date:
  • Size: 67.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.6.9

File hashes

Hashes for mindpowered_maglev-0.7.19-py3-none-any.whl
Algorithm Hash digest
SHA256 fe49c7069e18fb09e5c6cc857d001655ed2f5f0196b44c14dbb90b6312dfeddc
MD5 f8f4f15e4a648aece6a5bd6896c78b6c
BLAKE2b-256 41a3baf16315295108fc244b7f551c959a81d802e9007ddb58c101270bbf0363

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page