😸😹😺😻😼😽😾😿🙀🐱

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

Services of AWS covered:

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.

pip install batcat

The package is named after a cat named BatCat, owned by my friend Clara.

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