This blog post will be the first of a series on doing data science in Neo4j. Let’s take a look at how to get going with Neo4j and Jupyter Lab through Docker.
Docker has provided data scientists (and, really, everyone in software) with the ability to share code in a reproducible fashion. I remember when I was first exposed to it
NaN years ago. I had been someone who used old-school virtual desktops that were clunky and took up a lot of memory just by virtue of their architecture. The day I first learned about Docker I was so excited that I was awake most of the night thinking about it! Like a kid at Christmas, I collected a whole bunch of different containers both because I could and because it made me giddy thinking about all of these great new environments I could develop (play) in.
So that brings me to today. Sure, I can do things in a virtual environment, but what if I screw up something somewhat major? (Think: messing around with CUDA drivers and the like.) I am able to screw up my local system as well as the next person. Doing all of my development inside a container prevents me from doing any permanent damage. (Because how long does it take for you to get your linux environment set up just right like you like it???) Plus, I can easily share that environment with other people and not have to worry about system and package differences. It just works. And this is great for data scientists because we tend to have a lot of software dependencies on things like Python packages.
Following the second video about Docker basics, in this video, I explain Docker architecture and explain the different building blocks of the docker engine; docker client, API, Docker Daemon. I also explain what a docker registry is and I finish the video with a demo explaining and illustrating how to use Docker hub.
Docker Architecture Overview & Docker Components. This ultimate guide revolves around the underlying technologies used by Docker Containers to provide effective containerisation services to its users. It explains the entire Docker architecture and its components using intuitive diagrams.
Welcome to this on Docker Tutorial for Beginners. In this video provides an Introduction on C++ development with Docker containers. So we will see How to ship C++ Programs in Docker.
“Docker: Understanding Docker Architecture and Components”, The First thing we are going to do is to run the “docker run hello-world” command. This command tries to find the “hello-world” image locally and if not found, it then downloads an image from the docker hub and runs the container out of this image.
This entry-level guide will tell you why and how to Dockerize your WordPress projects.