batcat 0.2.50

BatCat, A Cat Looks Like A Bat.

😸😹😺😻😼😽😾😿🙀🐱

BatCat is designed to help data scientists to practice machine learning operations (MLOps) on Amazon Web Services (AWS).

Services of AWS covered: - AWS Lambda: a serverless, event-driven compute service - AWS S3 (Simple Storage Service): provides object storage service - Amazon Athena: a serverless, interactive query service on S3 - Amazon Redshift: a data warehouse product

Philosophy of BatCat’s MLOps

BatCat is designed to make the data scientist’s life easier when practicing machine learning operations (MLOps) on Amazon Web Services (AWS).

Services of AWS included:

1. AWS Lambda: a serverless, event-driven compute service

2. AWS S3 (Simple Storage Service): provides object storage service

3. Amazon Athena: a serverless, interactive query service on S3

4. Amazon Redshift: a data warehouse product

5. Amazon SageMaker: a cloud machine-learning platform that enables developers to create, train, and deploy machine-learning models in the cloud.

6. Elastic Container Registry (ECR): is a fully managed Docker container registry that makes it easy to store, share, and deploy container images.

7. AWS Step Functions: a low-code, visual workflow service that developers use to build distributed applications, automate IT and business processes, and build data and machine learning pipelines using AWS services.

8. Secrets Manager: is a secure and convenient storage system for API keys, passwords, certificates, and other sensitive data.

Install

pip install batcat

Story of the BatCat

The package names after a cat of my friend, Clara.

License

BatCat is licensed under the MIT License. © Contributors, 2024.