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Numerical Python : A Practical Techniques Approach for Industry by Robert Johansson

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CHAPTER 12

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Data Processing and Analysis

In the last several chapters we have covered the main topics of traditional scientific computing. These topics provide a foundation for most computational work. Starting with this chapter, we move on to explore data processing and analysis, statistics, and statistical modeling. As a first step in this direction, we look at the data analysis library pandas. This library provides convenient data structures for representing series and tables of data, and makes it easy to transform, split, merge, and convert data. These are important steps in the process1 of cleansing raw data into a tidy form that is suitable ...

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