Type checking is given in the piece. Compact dicts are nice for memory performance, but I don't use Python for performance. Ordered dicts I only care about rare

Type checking is given in the piece. Compact dicts are nice for memory performance, but I don't use Python for performance. Ordered dicts I only care about rarely and explicitly use one in such cases. Formatted string literals have not really been a "feature" but a concern. The original plan was to get rid of the % way of formatting and just use .format with __format__ (except now there are pitfalls and inconsistencies with different types of strings). Now Python 3.6 has string interpolation with f-strings, which is kind of nice, but I've never really missed it when I come back from using other languages with it, and if I really wanted it there has been tools like Interpy. That last bit is kind of the nail in the coffin, a lot of Py3 features have been available as Py2 libraries or higher source parsing tools longer than the feature has been in Py3. I didn't like how the changes to strings and bytes were made, but that's probably a larger discussion, and fits within how Py3 has evolved. If anyone is really confused by the struggle with adoption, just look through the release notes of version by version, and ask at what point there's a compelling reason to upgrade. I still don't see one, but at this point, nearly 10 years after Py3k, Py3.6 is finally usable enough that I wouldn't mind as much if I had to work on a Py3.6 codebase instead of a Py2.7 one.