Join industry experts and the Docker community for this live event filled with insightful sessions, live presentations, panel discussions, interactive host segments, community chat rooms, and more!
See conference website for more information: https://docker.events.cube365.net/dockercon/2022
Getting Started with Dockerhttps://docker.events.cube365.net/dockercon/2022/content/Videos/b05c3e23-9471-4480-b8a8-360ad5563c6bhttps://dresa.org.au/events/getting-started-with-dockerSoftware containers have become an essential tool in every developer's tool belt. They make it easy to share, run, and scale code. In this hands-on workshop, you'll learn how to provide your applications and services with containers by working in standardized, highly portable environments using Docker..
Sr. Developer Advocate at Docker, Shy Ruparel, will walk you through how to use Docker to create reproducible environments, regardless of where your code is deployed. He'll cover setting up Docker and Docker Desktop, running your first container, creating a basic web application with Python and Docker, managing dependencies in your projects across multiple platforms, and how to push a Docker Image to Docker Hub.
During this 3 hour workshop, we’ll cover:
- Intro and brief history of Docker
- Getting started with Docker and Docker Desktop
- Making and using containers
- Taking advantage of Docker Hub to find Official Images
- Persistent data with volumes
- Multiple Docker containers at once with Docker Compose
- Deploying containers to the cloud
- Quick peek at Docker Extensions
2022-05-10 09:00:00 UTC2022-05-10 17:00:00 UTCDockerConNoneDockerCon 2022 - https://docker.events.cube365.net/dockercon/2022workshopopen_to_allDocker
Using Python and Docker for Data Science and Scientific Computing
11 May 2022
Using Python and Docker for Data Science and Scientific Computinghttps://docker.events.cube365.net/dockercon/2022/content/Videos/BgMzr6Lix5Avx3e96https://dresa.org.au/events/using-python-and-docker-for-data-science-and-scientific-computingDocker has become a standard tool for developers around the world to deploy applications in a reproducible and robust manner. The existence of Docker and Docker Compose have reduced the time needed to set up new software and implement complex technology stacks for our applications. There are thousands of tutorials and getting started documents for those wanting to adopt Docker for application deployment.
However, if you’re a data scientist, a researcher or someone working on scientific computing wanting to adopt Docker, the story is quite different. If you work on data science, machine learning or scientific computing, this talk is for you. We'll cover best practices when building Docker containers for data-intensive applications, from optimizing your image build to ensuring your containers are secure and efficient deployment workflows. We’ll talk about the most common problems faced while using Docker with data-intensive applications and how you can overcome most of them. Finally, I'll give you some practical and useful tips to improve your Docker workflows and practices.2022-05-11 06:30:00 UTC2022-05-11 07:00:00 UTCDockerCon 2022NoneSpeaker: Tania Allard (Co-director Quansight) https://www.linkedin.com/in/taniaallardwebinarconferenceopen_to_allpythondata scienceDocker