![]() If you need additional libraries that are not preinstalled with the image, you can create your image with a Dockerfile to install those libraries.ĭocker also helps the team share the development environment by letting your peers replicate the same environment easily.Run a command to pull an image that contains Jupyter and preinstalled packages based on the image type.Install Docker and sign up for the DockerHub website (free).With Jupyter Docker Stacks, the setup environment part is reduced to just the following steps: The Jupyter Docker Stacks are a set of ready-to-run Docker images containing Jupyter applications and interactive computing tools with build-in scientific, mathematical, and data analysis libraries pre-installed. This article is the first part of the series that demonstrates how to set up Jupyter Notebook environment with Docker to consume and display financial data from Refinitiv Data Platform without need to install the steps above. The article covers Jupyter with the Python programming language. If you are using R, please see the second article. You may think Docker is for the DevOps or the hardcore Developers only, but the Jupyter Docker Stacks simplifies how to create a ready-to-use Jupyter application with Data Science/Financial libraries in a few commands. The good news is you can reduce the effort to set up the workbench with the Docker containerization platform. If you need to share your code/project with your peers, the task to replicate the above steps in your collogues environment is very complex too. ![]()
0 Comments
Leave a Reply. |