Python data libraries and packages

As we mentioned earlier, Python has five standard data types: numbers, strings, lists, tuples, and dictionaries. Using these data structures, Python can handle many tasks. To extend its ability for data manipulation and visualization, Python libraries and packages are created. We will briefly introduce four libraries: NumPy, Pandas, Matplotlib, and Seaborn.

NumPy

NumPy is short for Numerical Python. It is a fundamental library in Python and is a general-purpose array-processing package. NumPy is very good at basic and advanced array operations. It is used to process arrays that store values of the same data type.

Pandas

Pandas is considered the most powerful and flexible open source data analysis and manipulation tool available. It is a Python library that’s been optimized for data manipulation and analysis. In particular, it offers data structures and operations for manipulating multidimensional arrays of data. Pandas contains...