Introduction

In the preceding chapters, we covered some advanced data structures, such as stack, queue, iterator, and file operations in Python. In this chapter, we will cover three essential libraries, namely NumPy, pandas, and matplotlib. NumPy is an advanced math library in Python with an extensive range of functionality. pandas is a library built on NumPy that allows developers to model the data in a table structure similar to a database; malplotlib, on the other hand, is a charting library that is influenced by Matlab. With these libraries, you will be able to handle most data wrangling tasks.