Data processing is important part of analyzing the data, because data is not always available in desired format. Various processing are required before analyzing the data such as cleaning, restructuring or merging etc. Numpy, Scipy, Cython and Panda are the tools available in python which can be used fast processing of the data. Further, Pandas are built on the top of Numpy. Pandas provides rich set of functions to process various types of data. Further, working with Panda is fast, easy and more expressive than other tools. Pandas provides fast data processing as Numpy along with flexible data manipulation techniques as spreadsheets and relational databases. Lastly, pandas integrates well with matplotlib library, which makes it very handy tool for analyzing the data.

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pandas guide.pdf

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