- Is Parallel Programming Hard? And, If So, What Can You Do About It? — book by Paul E. McKenney, on single-machine multi-CPU parallel programming.
- Malignant Computation — The bitcoin mining network would work just as well if it had far less computation devoted to it. Bitcoins would be mined at exactly the same rate if 1/2 or 1/4 of the computational resources were devoted. This means that bitcoin has incentivized a tremendous amount of computational busy work.
- GDS Becomes Political (Computer Weekly) — She [Opposition MP] said that digital should not be about imposing a way of working on the public sector – Labour is not fond of the “digital by default” mantra – but about supporting public service delivery. […] “When this government decided upon the digitalisation of this [online job search] service they apparently did not take into account those with poor literacy skills, mental health issues or learning difficulties – who, as most people would have predicted, make up a higher-than-average proportion of the unemployed.”
- streamtools (Github) — a graphical toolkit for dealing with streams of data. Streamtools makes it easy to explore, analyse, modify and learn from streams of data. (via OpenNews)
Data science: Where are we going? - DJ Patil, the U.S. government's first Chief Data Scientist, looks at the future of data science at Strata + Hadoop World 2015 in San Jose.
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