Sdsu Docker Workshop Workflow Figure 2 demonstrates a general workflow with docker and git. we use git and github gitlab bitbucket (or any similar service) to code version control. docker is used to set up a containerized environment, which will be used for code development and testing. This repository contains the materials from the sdsu data science symposium 2024 docker for data science workshop. the workshop covers the following topics: this workshop is licensed under a creative commons attribution noncommercial sharealike 4.0 international license.
Sdsu Docker Workshop Docker Workshop рџђі It was a pleasure to run a docker 🐳 workshop at the south dakota state university data science symposium this week. A hands on, workshop covering the full docker developer experience — from inner loop workflows and containerization basics all the way to ai agents, mcp servers, security hardening, and gpu offloading. Its workflow entails developing and building your application, creating docker images with dockerfiles, executing containers based on those images, controlling containers with docker. As its name implies, this workshop focuses on the foundations of docker with data science applications. that includes the following topics: the main learning object is to motivate data scientists and other partitioners to use containers in their workflow.
Sdsu Docker Workshop Settings Its workflow entails developing and building your application, creating docker images with dockerfiles, executing containers based on those images, controlling containers with docker. As its name implies, this workshop focuses on the foundations of docker with data science applications. that includes the following topics: the main learning object is to motivate data scientists and other partitioners to use containers in their workflow. Typically, when working with docker and containers, we will use some flavor of linux os, such as ubuntu, alpine, etc. throughout this workshop, we will use ubuntu unless stated otherwise. The first step in the docker workflow is creating a docker container. this involves specifying the image to use and any additional configuration, such as port mappings or environment. To follow this tutorial, you’ll need to set up docker desktop and vscode. plus, you’ll have to create an account on docker hub. this section is dedicated to the workshop settings and covers the installation and configuration of docker and vscode. all the workshop materials avaialble on the below repository:. The `docker run` or `run` command enables us to create and run a new container from an image. typically, the `run` command is used to launch a dockerized application or server or to execute a code following the below syntax:.
Sdsu Docker Workshop Settings Typically, when working with docker and containers, we will use some flavor of linux os, such as ubuntu, alpine, etc. throughout this workshop, we will use ubuntu unless stated otherwise. The first step in the docker workflow is creating a docker container. this involves specifying the image to use and any additional configuration, such as port mappings or environment. To follow this tutorial, you’ll need to set up docker desktop and vscode. plus, you’ll have to create an account on docker hub. this section is dedicated to the workshop settings and covers the installation and configuration of docker and vscode. all the workshop materials avaialble on the below repository:. The `docker run` or `run` command enables us to create and run a new container from an image. typically, the `run` command is used to launch a dockerized application or server or to execute a code following the below syntax:.
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