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This is a repository that has been created to start learning and working with container technology using docker software, the main goal of these lessons and projects is to create content and documentation that will be useful in the future.

License: MIT License

Dockerfile 5.46% Python 39.39% Shell 1.85% Jupyter Notebook 53.31%
containers devops-tools docker docker-compose dockerswarm kubernetes

docker-containers-dojo's Introduction

Hi there, I'm Elkin Javier Guerra(Elkinmt19)

class ElkinG:
    def __init__(self):
        self.username = 'Elkinmt19'
        self.name = 'Elkin Javier Guerra Galeano',
        self.role = 'Machine Learning Engineer',
        self.linkedin = 'https://www.linkedin.com/in/elkin-javier-guerra-galeano-60832b1b3/'
        self.web = 'https://github.com/Elkinmt19'
        self.instagram = '@elkin02011'
        self.code = {
            'cloud': ['AWS', 'GCP'],
            'machine-learning': ['SKlearn', 'Tensorflow', 'Amazon SageMaker', 'XGboost','Vertex AI'],
            'frontend': ['HTML', 'CSS', 'JavaScript'],
            'backend': ['Python', 'Flask', 'Django','NodeJS','FastAPI'],
            'database': ['PostgreSQL', 'MySQL', 'SQLite3', 'MongoDB','Amazon Redshift'],
            'devops': ['Docker','Kubernetes','GitLab CI/CD','Jenkins','GitHub Actions','Azure DevOps'],
            'IaC': ['Terraform','AWS-CloudFormation','AWS CDK','AWS DDK'],
            'mlops':['Sagemaker projects','Kubeflow','Airflow','MLflow','Prefect','Feast','DVC'],
            'big-data':['Apache Spark','Hadoop','Amazon EMR'],
            'tools': ['Git', 'GitHub', 'GitLab']
        }
        self.architecture = ['Serverless', 'Microservices']
    def __str__(self):
        return self.name
if __name__ == '__main__':
    me = ElkinG()

๐Ÿ“ˆ My GitHub Stats


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