From the course: Python Data Science Mistakes to Avoid

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Not organizing your directory

Not organizing your directory - Python Tutorial

From the course: Python Data Science Mistakes to Avoid

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Not organizing your directory

- [Instructor] Another common mistake to avoid when working with data is not organizing your directory. It's important to organize all the files in your directory into relevant categories, otherwise things can get messy and you may get confused about what each file is for and how the files relate to each other. Also, when you share your work with a teammate they can navigate through your directory more easily if it's categorized. To illustrate how to create subcategories in your directory, I will be walking through an example. Let's take this directory as an example. One of the first things you might notice is that there are several files in here and it looks cluttered. First, let's look at the file types. There are some IPython notebooks which have the .IPYNB extension, as well as some CSV or comma-separated values files which have the .CSV extension, and some text files, which have the .TXT extension. Next, let's take…

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