5. Strings, Lists, and Files (Multiple Pieces of Data)

If we want to do data science, we’ll need tools to deal with many pieces of data at once. Data often enters the data science workflow in one or more files. From there we read it into strings, then usually break it up into separate values using lists. All of these are tools for working with multiple pieces of data; we’ll even see that a string is really multiple pieces of data (the individual characters) stored together in one place.