Data Manipulation with Pandas

In this chapter we will continue elaborating on Pandas and it’s uses. Pandas is one of the most widely used Python libraries in data scienceData science and analytics. It provides numerous functions and methods that expedite the data analysis and preprocessing steps. Python with Pandas is used in a wide rangeRange of fields, such as academic research, retail, finance, economics, statistics, analytics, bioinformatics and medical drug discovery research, and many other fields. Pandas is the name for a Python module, which encompasses the capabilities of NumPy, SciPy, and Matplotlib. The word Pandas is an acronym derived from “Python and data analysis” and “panel data”. Pandas is defined as an open-source library that provides high-performance data processing capability in Python.