Launch Jupyter to the Cloud with Docker and Terraform
In this talk, we will use a task: hiring a GPU on Google Cloud Platform to train neural network, as an example to show how an application can be deployed on a cloud platform with Docker and Terraform. The goal is to have Jupyter Notebook running in an environment with Tensorflow (GPU version) and other libraries installed on a Google Compute Engine.
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After having a career as a Data Scientist and Developer Advocate, Cheuk dedicated her work to the open-source community and working as a community manager at OpenSSF. She has co-founded Humble Data, a beginner Python workshop that has been happening around the world. She has served the EuroPython Society board for two years and is now a fellow and director of the Python Software Foundation.