semvec/pypi-packages huggingface dataset:
aws-recommendation-a14 0.0.26
Provides AWS recommendations
Requires Python: >=3.7

# aws_recommendations

aws_recommendations package gives recommendation for you aws account

Release Notes:
# v0.0.10
1. Added methods for following recommendations:
   - Low Utilization Amazon EC2 Instances
   - Underutilized Amazon Redshift Clusters
   - idle ebs volumes
   - Idle elb
   - enable s3 bucket keys
   - rds_general_purpose_ssd
   - ebs_general_purpose_ssd
   - unused_ami

# v0.0.7
1. Added methods for new recommendations
2. Added following methods:
   1. reserved_instance_lease_expiration()
   2. unassociated_elastic_ip_addresses()
   3. rds_idle_db_instances()

# v0.0.3
1. Minor bug fixes

# v0.0.2
1. Improved code quality
2. Multi region now supported

# v0.0.1 - Initial Release
topsis-Anupam-102003692 0.0.1
A python package to implement topsis
Requires Python: >=3.6

# Topsis implemented by Anupam Katoch

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 
[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   

## Functionality of the package

- Outputs the performance score and rank corresponding to each row of the dataset.

## Usage

- Make sure you have Python installed in your system.
- Run the following command in terminal.
 
  pip install topsis_Anupam_102003692
  
## Example
  
  from topsis_Anupam_102003692 import main
  ip=sys.argv[1]
  wt=sys.argv[2]
  im=sys.argv[3]
  op=sys.argv[4]
  main.find_rank(ip,wt,im,op)
  

## Run the following Script.
 ```
  python test.py <inputFile.csv> weights impacts <outputFile.csv>
aws-recommendation-a13 0.0.25
Provides AWS recommendations
Requires Python: >=3.7

# aws_recommendations

aws_recommendations package gives recommendation for you aws account

Release Notes:
# v0.0.10
1. Added methods for following recommendations:
   - Low Utilization Amazon EC2 Instances
   - Underutilized Amazon Redshift Clusters
   - idle ebs volumes
   - Idle elb
   - enable s3 bucket keys
   - rds_general_purpose_ssd
   - ebs_general_purpose_ssd
   - unused_ami

# v0.0.7
1. Added methods for new recommendations
2. Added following methods:
   1. reserved_instance_lease_expiration()
   2. unassociated_elastic_ip_addresses()
   3. rds_idle_db_instances()

# v0.0.3
1. Minor bug fixes

# v0.0.2
1. Improved code quality
2. Multi region now supported

# v0.0.1 - Initial Release