https://blog.sourced.tech/post/language_migrations/
Waren Long analyzed several years of Github data for 22 top languages
(excluding browser Javascript) with respect to language use and change
of use, defined a 'centrality measure' based on the stationary
distribution of a markov chain model of language switching.
Time trend: Python rose from about 2002 to 2007, stayed flat until 2013,
then has risen since.
Conclusion: The Python sky is not falling; Python3 did not kill
Python. (This is not a call for complacency.)
The measure is *not* based on lines of code. The 4 after Python, Java,
C, C++, and PHP have more lines on Github. Well, we all know that
non-cryptic conciseness is good ;-).
Java has at least doubled since 2007. Perhaps that is mostly prortable
Android devices.
This analysis was stimulated (provoked?) by Erik Bernhardsson's analysis
of Google searches related to changing language. Go won in that. It
seems that people learn and use Python without asking Google so much.
--
Terry Jan Reedy
_______________________________________________
Python-Dev mailing list
[email protected]
https://mail.python.org/mailman/listinfo/python-dev
Unsubscribe:
https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com