These two are high performance array and table structures, for representing the heterogeneous and homogeneous data sets in Pandas Python. Pandas data analysis library has some unique features that provide these capabilities. To provide a very simple and yet effective way to analyze data requires the ability to index, retrieve, split, join, restructure and various other analysis on both multi and single dimensional data. Pandas Python is one of those libraries for data analysis, that contains high-level data structures and tools to help data scientists or data analysts manipulate data in a very simple and easy way. We would require specialized tools and techniques to analyze and derive meaningful information from huge datasets. Imagine a situation, where we have to analyze millions of petabytes of data. All of us can easily do some kind of data analysis using pen and paper on small data sets.
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