Introduction If you work with data, you probably have spent hours writing a Python script, training a machine learning model or building a data pipeline. It runs perfectly on your laptop but when you send the same code to a teammate or try to run it on a company server, it instantly crashes. Usually, the error has nothing to do with your code. It crashes because of issues like; the other computer has a different version of Python, is missing a library like pandas, or uses a different operating system. Docker was created to solve this exact problem. This article delves into what Docker is, why data scientists and analysts should care about it, and how to use it step-by-step. What is Docker? Before the 1950s, global shipping was a mess. Loading and unloading a ship was a nightmare(slow and unstandardized) because contents such as barrels, sacks, cars and boxes were different shapes weights and size. Then, the shipping industry invented the steel shipping container.…