This post is a high-level overview to show how to Gigantum to inspect code for a manuscript under review.
This post is a high-level overview for using Gigantum to submit reproducible code in support of a manuscript under peer review.
Below, we’ll sketch out a smart approach for using lots of CPU cores without breaking the bank: using your laptop when feasible along with a DIY approach to working on bigger cloud resources as needed. We’ll use Gigantum to automate Git and Docker, along with most details of our cloud environment. With the following approach, you can be up and running Dask on 32 CPU cores on DigitalOcean in about 10 minutes - look at those tasks fly in parallel!
At Gigantum, we are building an open-source tool for developing, executing, and sharing data science projects that automates the creation of versioned and containerized code. This way your work is always accessible, reproducible, and transparent. Our ultimate goal is to make science and data science more efficient and reproducible, and we want people to directly access and build on each other’s work without all of the technical hassles. You can learn more about Gigantum, try the Client in the cloud, or download and install it locally at our website: https://gigantum.com