Python Panda History-

  • In 2008, panda development started by AQR Capital Management.
  • In 2009, panda announced as open source library and anyone can contribute in it.
  • In 2012, 1st edition is launched which can be used in Data Analysis.
  • In 2015, NumFOCUS sponsored panda.
  • In 2018, 1st core developer sprint started.

Advantage-

  • – Build on top of Python
  • – Open soorce library
  • – Data analyze tool
  • – BSD licenced
  • – Alternate of Excel in terms of calculation
  • – With Python we can prepare the data but it’s very hard to analyze this huge data for data analyze purpose in python as initially.
  • – Data structure in python is not designed for data analyze purpose.
  • – So when we have the data ready we need other tools ex- ‘R’ where we have to load this data to analyze and once we analyzed the data then we have to move back this data to Python again.
  • – And yes no doubt this is a tedious job to do.
  • – With the help of pandas at the same place we can create the data and there only we can analyze the data.
  • – No transition is required from one tool to another.
  • – It’s not completely a replacement of ‘R’ but yes python-pandas provides more feasibility than ‘R’.
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