Pandas is defined as an open-source library that provides high-performance data manipulation in Python. It is built on top of the NumPy package, which means Numpy is required for operating the Pandas. The name of Pandas is derived from the word Panel Data, which means an Econometrics from Multidimensional data.What can I do with pandas in Python?
When you want to use Pandas for data analysis, you'll usually use it in one of three different ways: Convert a Python's list, dictionary or Numpy array to a Pandas data frame Open a local file using Pandas, usually a CSV file, but could also be a delimited text file (like TSV), Excel, etc Open a remote file or database like a CSV or a JSONon a website through a URL or read from a SQL table/databaseWhat is the use of pandas in Python?
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. pandas is a NUMFocus sponsored project. This will help ensure the success of development of pandas as a world-class open-source project, and makes it possible to donate to the project.