Integrated Development Environment, or IDE, is a tool that allows software developers to write, test and debug their programming code easier than in general-purpose text editors. An IDE typically offers a text editor, automated code validation, syntax highlighting, completion, contextual suggestions, easy access to help, method and class specification, resource management, and debugging tools. Because of a rich collection of features, IDEs are extremely useful for software development: they make the life of a programmer more comfortable. This is no different for a data scientist. However, given the fact that there aren't only the traditional IDEs (the ones you install on your computer) to consider, but also new tools, such as Jupyter notebooks running in the browser, the reader might be wondering which development environment to use, especially when you are just starting out with data science.