Not only is the **Pandas** library a central component of the data science toolkit but it is used in conjunction with other libraries in that collection.
**Pandas** is built on top of the NumPy package, meaning a lot of the structure of NumPy is used or replicated in **Pandas**. Data in **Pandas** is often used to feed statistical analysis in SciPy, plotting functions from Matplotlib, and machine learning algorithms in Scikit-learn.
Most of the topics we will cover today are explained and describes with examples in the first resource. The number of exercises is low on purpose: Take the time to understand the chapter 5 of the resource, even if there are 40 pages.