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The pandas package in Python implements this operation as "melt" function which converts a wide table to a narrow one. The process of converting a narrow table to wide table is generally referred to as "pivoting" in the context of data transformations.
Batch renaming is a form of batch processing used to rename multiple computer files and folders in an automated fashion, in order to save time and reduce the amount of work involved. Some sort of software is required to do this. Such software can be more or less advanced, but most have the same basic functions.
The POWER1 from 1990 is the first microprocessor that used register renaming and out-of-order execution. This processor implemented register renaming only for floating-point loads. The POWER1 had only one FPU, so using renaming for floating-point instructions other than memory operation was unnecessary.
In relational algebra, a rename is a unary operation written as / where: . R is a relation; a and b are attribute names; b is an attribute of R; The result is identical to R except that the b attribute in all tuples is renamed to a. [1]