Metadata-Version: 2.4
Name: amazon_python
Version: 0.0.9
Summary: Amazon Python SDK to interact with Fewsats+Amazon backend
Home-page: https://github.com/Fewsats/amazon-python
Author: Fewsats
Author-email: pol@fewsats.com
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: fastcore
Requires-Dist: httpx
Requires-Dist: cryptography
Provides-Extra: dev
Requires-Dist: nbdev; extra == "dev"
Requires-Dist: jupyter; extra == "dev"
Requires-Dist: setuptools==77.0.3; extra == "dev"
Requires-Dist: twine; extra == "dev"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: license-file
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# amazon-python


<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

This file will become your README and also the index of your
documentation.

## Developer Guide

If you are new to using `nbdev` here are some useful pointers to get you
started.

### Install in Development mode

``` sh
$ pip install -e '.[dev]'


# compile to have changes apply to amazon_python
$ nbdev_prepare
```

## Usage

### Installation

Install latest from the GitHub
[repository](https://github.com/Fewsats/amazon-python):

``` sh
$ pip install git+https://github.com/Fewsats/amazon-python.git
```

or from [pypi](https://pypi.org/project/amazon-python/)

``` sh
$ pip install amazon_python
```
