Docker for Data Professionals: From Zero to Containerizing Your First Project
Lawrence Murithi
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 s