Best Free Linux Data Science Notebook Software
A data scientist devotes considerable time and effort collecting, cleaning, and filtering data. The goal is to extract valuable insights and useful information from that data. Anything that speeds up that process is going to be desirable. Being able to interactively explore data helps streamline this process. An increasingly popular way to interact with data is with an interactive notebook. So what’s this type of notebook offer?
A notebook interface is a virtual collaborative environment which contains computer code and rich text elements. Notebook documents are human-readable documents with the analysis description and the results together with the executable documents which can be run to perform data analysis. These documents can be saved as files, checked into revision control just like code, and freely shared. They run on any platform, thanks to their browser-based user interface. In essence, they are a virtual notebook environment used for literate programming. They offer a great developer experience and allow for rapid development and extensibility.
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