pandas pandas is python library for data wrangling and analysis it is built around data structure called the dataframe that is modeled after the dataframe simply puta pandas dataframe is tablesimilar to an excel spreadsheet pandas provides great range of methods to modify and operate on this tablein particularit allows sql-like queries and joins of tables in contrast to numpywhich requires that all entries in an array be of the same typepandas allows each column to have separate type (for exampleintegersdatesfloating-point numbersand stringsanother valuable tool provided by pandas is its ability to ingest from great variety of file formats and databaseslike sqlexcel filesand comma-separated values (csvfiles going into detail about the functionality of pandas is out of the scope of this book howeverpython for data analysis by wes mckinney ( 'reilly provides great guide here is small example of creating dataframe using dictionaryin[ ]import pandas as pd create simple dataset of people data {'name'["john""anna""peter""linda"]'location["new york""paris""berlin""london"]'age[ data_pandas pd dataframe(dataipython display allows "pretty printingof dataframes in the jupyter notebook display(data_pandas introduction