In this chapter, we’ll dive into pandas, a library that simplifies data analysis in Python. We’ll focus on working with the tabular data structure in pandas called a DataFrame, which you’ll learn to create, manipulate, and transform. You’ll see how to conduct the same kinds of analyses you’re used to doing in Excel by using Python, and you’ll learn a few more advanced techniques that Excel makes unnecessarily difficult. With a Jupyter Notebook as your canvas and pandas as your medium, you’ll find that Python makes the art of data analysis accurate, efficient, and user-friendly.
Many times in Excel, you’re forced ...
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