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Python Pandas

A flexible tool for data Analyzing

Python Pandas is a Flexible tool for data analyzing, and providing high performance to python programming. Python Pandas is used in various fields including finance, analytics, economics, statistics, academics etc. The name Pandas is derived from the word Panel Data. Developer Wes McKinney in 2008 started developing pandas for high performance and quick analysis for python programming. Before pandas, Python was used for preparing data. The contribution to data analysis by python was very little. With the help of Pandas, this problem was overcome.

Python Pandas

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Steps in processing andanalysis of data

  • Load
  • Prepare
  • Manipulate
  • Model
  • Analyze

Problems Solved by Pandas!

There was a problem with data munging and preparation in data analysis. Pandas solved this problem, helping you in processing data analysis easily without switching to other domains.

Key Features

Easy deletion and insertion of columns from data structures

Data sets pivoting and reshaping is flexible.

Easy large data sets sub setting, indexing is fancy

For data manipulation, an efficient Data Frame object with integrated indexing

Python Pandas is used in various fields including finance, analytics, economics, statistics, academics etc.

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