Humans are much better at inferring rules from examples than at deducing an example from a concisely stated rule. The official python docs are the latter.
Unfortunately although Preview is good for these tricks, such as editing a PDF or creating a PDF from multiple inputs, I often find that the official acrobat reader from Adobe will refuse to display the resulting file. That may be Adobe trying old Microsoft “you can’t keep up with my definition of a legal file format” tricks. Nevertheless what you produce cannot be viewed with a significant fraction of PDF readers.
That’s a great point. I have seen secretaries take training after hours to get certificates and degrees. When finished they apply locally and perform well, since they already had an idea what the job is. Some employees who have known the person in the old role find it hard to treat the colleague equitably. In that situation sometimes the best way forward is to take the new credential to a place where no one knew you before you got it.
I might add, Apple could kill the market for stolen iPhones (by preventing a phone from working when they get a bona ride police report) but they don’t.
I would add that there are financial technical jobs at T Rowe Price, Legg Mason, Morgan Stanley etc. Not to mention that there are computer security jobs at those places where the stakes are high.
The basic problem is that people undervalue data about themselves. They don’t imagine the kinds of conclusions that can be made, or the consequences.
It’s been more than a decade, but I was impressed by this research from Allessandro Acquisti that suggested people valued their data only in the pennies.
When 25 Cents is too much: An Experiment on Willingness-To-Sell and Willingness-To-Protect Personal Information, Jens Grossklags, Alessandro Acquisti, Workshop on the Economics of Information Security (WEIS), 2007
I have never enjoyed python’s official documentation. It isn’t easy to find answers. Sometimes the value of an SO answer is that you are sent to exactly the right part of the python docs.
An alternative to the total transparency you call for might be that an auditor examines everyone’s compensation, and provides statistics for each job role. Lots of employees prefer not to have their exact compensation revealed. Sometimes you may work well with someone (a lawyer, say) and think him a good team player, until you realize he is making tons more than you and envy becomes a factor. Your attitude might go from positive to negative. Would salary transparency be good in that case?
https://fred.stlouisfed.org/series/WFRBST01122