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It makes sense to me. Nowadays, all the GAFAM has solved most problems python is good at: glueing a lot of things, experimenting with ideas, bootstrapping new product, hiring and training a lot of new people fast.

They now are in the optimization phase. They first picked the low hanging fruits, but after 10 years of doing that they need to fine tune. For them, gaining 20% of speed can add up to millions of dollar a day, so it's now the new priority.

Just like with JS in the 2000', today they have to decide if it's worth rewritting python code or just improve the platform. For some projects, they made the calculations and it was just cheaper to improve the plateform. We got V8. Now Python is getting the new focus.



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