Almost all programming languages can manipulate data. Some are too general to lack functions for performing structured computations, such as C++ and JAVA, which produce lengthy code to deal with daily data analysis scenarios and are more suitable for taking care of major special projects. Some are technically-targeted and too highly-professional for daily analysis work, such as mathematical programming languages MATLAB and R, though they provide functions for structured data processing. My subjects in this article are the lightweight programming languages that are suitable for doing desktop analytic jobs. They are lightweight databases represented by MySQL, Excel VBA, Python pandas and esProc.
Now I’ll scrutinize the pros and cons of each to look at their capabilities.
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