pandas
Let's talk about pandas, which is one of the most exciting Python libraries, especially for people who love R and want to play around with the data in a more vectorized manner. We will devote this part of the chapter only to pandas; we will discuss some basic data manipulation and handling in pandas frames.
Reading data
Let's start with one of the most important tasks in any data analysis to parse the data from a CSV/other file.
Tip
I am using https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.data
https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.names
Feel free to use any other CSV file.
To begin, please download the data to your local storage from the preceding links, and load it into a pandas data-frame, ...
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