![]() You can do everything you expect from a spreadsheet tool like create graphs or filter the data in CSV Explorer. CSV Explorer, for example, builds on the very process we described in the last two methods (SQL database and Python code) to create an app capable of viewing and editing CSV files of any size. csv files as well.īut what about specialized applications? Are there no apps out there that are created to solve this problem? They were general-purpose tools that could be used to work with large. The text editors we saw in the first method weren’t dedicated tools meant for CSV processing. Still, if you find yourself having to parse through really large CSV files on a daily basis, you might want to automate the task with some Python code. While Python isn’t the hardest programming language to learn, it is coding, so it might not be the best approach for you. Once again, this is not the most user-friendly method. So why not write Python code to do just that?
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