If you are calculating means, variances etc using the textbook formulas, you are doing it wrong. Don't just add up a bunch of floats and divide by N to calculate an average. Don't use random people's high school homeworks for statistical analysis. Write things with dependencies so they are correct.
I'm not sure why you think using standardized formulas is incorrect, there are certainly cases to use a mean average. There are other times you may want to use geometric mean, harmonic mean, mode, median, etc... and the library doesn't force anyone to use a specific function for the analysis, it just provides the tools to be used as needed.
Saying this is my high school homework is quite rude, it's a project I've been working on for several years along with several other contributors. It's cloned hundreds of times a day and quite obviously of benefit to many people and organizations.
This library is used as a dependency in many projects like cockroachdb, mongodb, etc... and has a lot of tests to verify it's correct. Not having dependencies ensures that the entire library is well tested and removes the need to track down bugs far down the dependency graph.
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[ 4.5 ms ] story [ 14.4 ms ] threadSaying this is my high school homework is quite rude, it's a project I've been working on for several years along with several other contributors. It's cloned hundreds of times a day and quite obviously of benefit to many people and organizations.
This library is used as a dependency in many projects like cockroachdb, mongodb, etc... and has a lot of tests to verify it's correct. Not having dependencies ensures that the entire library is well tested and removes the need to track down bugs far down the dependency graph.