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 the 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 ...
© Robert Johansson 2019
Robert JohanssonNumerical Python https://doi.org/10.1007/978-1-4842-4246-9_1212. Data Processing and Analysis
Robert Johansson1
(1)
Urayasu-shi, Chiba, Japan
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