How to Use Docker for Data Science Projects
Data science projects often involve complex dependencies and environments. Managing these can be challenging, especially when collaborating with teams or deploying to different systems. This is where containerization comes into play. Unlike traditional virtual machines, containers are lightweight and efficient, making them ideal for modern workflows. Containers package applications with all their necessary components, ensuring […]