Step by step how to create web services using Django and postgres as database and docker for microservices and containerization
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Updated
May 16, 2019 - Dockerfile
Step by step how to create web services using Django and postgres as database and docker for microservices and containerization
A curated collection of Docker images for ML apps
Simple containerized python development environment for datascience explorations. Numpy, Pandas and Matplotlib are installed by default
ELT for New York City (NYC) Collision Dataset
Docker container for RPI3 SaaS development, with Python 3.6.6, Numpy, Pandas and Scipy installed
Anaconda Python 3.8.8 with TensorFlow 2 Docker image
Setup ML for Raspberry Pi
AWS Lambdaでpandasを使う時のテンプレート
A Jupyterlab with pandas, keras, tensorflow, numpy, sklearn, matplotlib, scilab, dash, sqlalchemy, elasticsearch and others. Additional kernels Bash, Julia, Octave, PHP and Scilab, git and cron daemon with relative web-ui
Ciencia de Datos en Escuelas Secundarias
🐳 Document your Docker learning journey with hands-on projects, from building images to mastering container management and Linux fundamentals.
A docker image with numpy, scipy, nltk and pandas pre-installed with pip
Repo for running command line-based PatMatch in Jupyter environment provided via Binder.
Using python3.6 alpine base image adds java,pandas, numpy,pyspark and spark as rundeps. This image can be used as container image when you run spark-submit on k8.
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