Santa has discovered quality control issues in some of the scientific equipment that was delivered to children last Christmas.
The results from the Early Elf Joint Internship Training program were more No-No-No than Ho-Ho-Ho!
However the EEJIT's were consistent and testing revealed that the first 3 values in every 10 measurements were faulty.
An update was sent to all affected children so they could recalculate their results, knowing which readings to ignore.
Problem: How should they treat the suspect values?
Sometimes PDL doesn't scratch the particular itch you have.
PDL isn't like Vegas. It doesn't have to stay there.
After crunching your data, you can get it out to Perl and beyond.
You may have noticed that I used
PDL::Graphics::Gnuplot to do
the plotting there. This module requires the user to install Gnuplot on their
desktop or server, which may be a limitation in some use cases.
So you are a Perl developer and you see a lot of people make money on the stock
market and think you could do that too. You could use third party tools provided
by the trading platforms, you could use Python with its various related tools,
you could use R with its RQuantLib, you could do C++ with quantlib and other
similar methods. Maybe you want to use machine learning on the stock price data,
or want to just gamble by guessing or following the herd. TIMTOWTDI applies
here.