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54 subcommands in total. Information headers: prints headers dim: dimensions of CSV file nrow: print number of records ncol: print number of columns summary: summary statistics of selected numeric or text fields (groupby group fields) watch: online monitoring and histogram of selected field corr: calculate Pearson correlation between numeric columns Format conversion pretty: converts CSV to a read
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There are already a fair number of books about Numpy (see Bibliography) and a legitimate question is to wonder if another book is really necessary. As you may have guessed by reading these lines, my personal answer is yes, mostly because I think there is room for a different approach concentrating on the migration from Python to Numpy through vectorization. There are a lot of techniques that you d
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