semvec/pypi-packages huggingface dataset:
aws-ml-api 1.0.0
Simple API to train ML models on AWS

# Description

This is a test package which helps to implement model training pipeline on Amazon Web Services. The main point is you should have created IAM user with administrator permissions. Using this API you're able to create users with safe permissions automatically and orchestrate your S3 buckets or EC2 instances. Thus, having some Docker image with your training code, you can automatically load your data to a S3 bucket, create a EC2 instance and train your model on your data.
ms-image-tool 1.0.1
Tools for handling multispectral images and generating vegetation indices.
Requires Python: <4.0,>=3.10

[Documentation Page](https://andrematte.github.io/ms-image-tool/)

# Multispectral Image Tool

## Description 

This python library contains tools to manipulate multispectral image files captured by the Micasense RedEdge-P sensor. 

The input image file must be composed of six channels:

1. Red band reflectance
2. Green band reflectance
3. Blue band reflectance
4. Red Edge band reflectance
5. Near-infrared band reflectance
6. Binary cutline (optional)

## Installation

The library can be installed with `pip`.

```bash
pip install ms-image-tool
```

## License

This project is licensed under the terms of `MIT License`.
tr3 1.6
tr3
Requires Python: <4.0,>=3.12

[![pypi](https://img.shields.io/pypi/v/midsummer.svg)](https://pypi.python.org/pypi/tr3)
[![Downloads](https://static.pepy.tech/badge/midsummer)](https://pepy.tech/project/tr3) 
[![Downloads](https://static.pepy.tech/badge/midsummer/month)](https://pepy.tech/project/tr3)
[![versions](https://img.shields.io/pypi/pyversions/pydantic.svg)](https://github.com/tr3/tr3)

# ![CI](https://github.com/nfredrik/tr3/actions/workflows/python-publish.yml/badge.svg)

[![CI Status](https://img.shields.io/github/actions/workflow/status/nfredrik/tr3/python-publish.yml?branch=main&label=CI%20Passed&logo=github&style=for-the-badge)](https://github.com/nfredrik/tr3/actions)

# [![CI Status](https://img.shields.io/github/actions/workflow/status/your_username/your_project/ci.yml?branch=main&label=CI%20Passed&logo=github&style=for-the-badge)](https://github.com/your_username/your_project/actions)


# Python course at 3

This is demo project to be used in the python course fall 2024.

## Usage

Function prototypes for functions in this package

```python
    def is_divisible_by_3(number:int) -> bool:

    def approx_pi() -> float:
    
    def compound_interest(start_sum: Union[int, float],
                      interest: Union[int, float],
                      no_of_year: int,
                      no_compute: int = 1) -> float:

    add some more to this!
```