It is a library that is used for data analysis. It is to analyze the raw data and get specific information or to gain insight.
Excel is used for small data but pandas is used for large number of data.
Pandas allows us to analyze big data and make conclusions based on statistical theories. Pandas can clean messy data sets, and make them readable and relevant. Easy handling of missing data (represented as NaN) in floating point as well as non-floating point data Size mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects
Data set merging and joining. Flexible reshaping and pivoting of data sets Pro time series functionality.
Series: It is defined as a one-dimensional array that is capable of storing various data types. import pandas as pd a = pd.Series() print(a)