Pandas makes it easy to quickly load, manipulate, align, merge, and even visualize data tables directly in Python.

So why does the imminent arrival of pandas make us all so happy? In a nutshell: We’re desperately seeking cuteness.

Programming languages: Python developers reveal what they use it for and their top tools New global survey shows that Python developers love machine learning, but just don't call them data scientists.

You don't need to be a data scientist to use Pandas for some basic analysis. Traditionally, people who program in Python use the data types that come with the language, such as integers, strings, ...

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.