From the course: Hands-On Data Science using SQL, Tableau, Python, and Spark
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Working in pandas
From the course: Hands-On Data Science using SQL, Tableau, Python, and Spark
Working in pandas
- [Instructor] After you've set up Jupyter, the next step is to download the exercise files, which you can do down below, or at ftdacademy.com/resources. Once you've downloaded that, go ahead and extract it to a folder, that way we can keep everything separate there, and then browse to it from inside of Jupyter Notebooks. So here I have all of those files in a folder called FTD Python Examples. Let's go ahead and just open up the first one here, inspecting data with pandas. So this is how a notebook works, it has these cells, and inside of the cells you write some code, then you can execute that code and see the results. This way you have everything combined into a single page, so you have the code itself, you can have documentation in here, and you can build things like charts and graphs in here, which we'll do a little bit later. So first, what we need to do here is import pandas, which is the library that we use commonly in data science and data analytics in Python to work with our…
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