Stack Overflow data scientist David Robinson published an interesting observation: There exists a small but meaningful divide between the programming technologies used in wealthy countries and those used in developing countries. From a report: To be sure, programmers everywhere tend to build things with the same tools, which makes sense because software is a global industry. The first is in data science, which tends to employ the programming languages Python and R. “Python is visited about twice as often in high-income countries as in the rest of the world, and R about three times as much,” Robinson writes. “We might also notice that among the smaller tags, many of the greatest shifts are in scientific Python and R packages such as pandas, numpy, matplotlib and ggplot2. This suggests that part of the income gap in these two languages may be due to their role in science and academic research. It makes sense these would be more common in wealthier industrialized nations, where scientific research makes up a larger portion of the economy and programmers are more likely to have advanced degrees.” C and C++ use is similarly skewed toward wealthy countries. This is likely for a similar reason. These are languages that are pushed in American universities. They also tend to be used in highly specialized/advanced programming fields like embedded software and firmware development where you’re more likely to find engineers with advanced degrees.

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Source: Slashdot – Coders In Wealthy and Developing Countries Lean on Different Programming Languages

A German man — Norbert Blum — who claimed to have solved the P vs NP problem is seeing several challenges to his solution. From a report: Numerous mathematicians have begun to raise questions about whether the German mathematician solved it at all. Since Blum’s paper was published, mathematicians and computer scientists worldwide have been racking their brains as to whether the Bonn-based researcher has, in fact, solved this Millennium Prize Problem. After an initially positive reaction, such as the one from Stanford mathematician Reza Zadeh, doubts are beginning to arise about whether Blum’s reasoning is correct. In a forum for theoretical mathematics, a user named Mikhail reached out to Alexander Razborov — the author of the paper on which Blum’s proof is based — to ask him about Blum’s paper. Razborov purports to have discovered an error in Blum’s paper: Blum’s main argument contradicts one of Razborov’s key assumptions. And mathematician Scott Aaronson, who is something of an authority in the math community when it comes to P vs. NP, said he would be willing to bet $200,000 that Blum’s mathematical proof won’t endure. “Please stop asking,” Aaronson writes. If the proof hasn’t been refuted, “you can come back and tell me I was a closed-minded fool.” In the week since Aaronson’s initial blog post, other mathematicians have begun trying to poke holes in Blum’s proof. Dick Lipton, a computer science professor at Georgia Tech, wrote in a blog post that Blum’s proof “passes many filters of seriousness,” but suggested there may be some problems with it. A commenter on that blog post, known only as “vloodin,” noted that there was a “single error on a subtle point” in the proof; other mathematicians have since chimed in and confirmed vloodin’s initial analysis, and so the emerging consensus among many mathematicians is that a solve for P vs. NP remains elusive.

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Source: Slashdot – Mathematicians Race To Debunk German Man Who Claimed To Solve The ‘P Versus NP’ Problem