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Some time ago, CF met the amazing artist Prof Havîn Al-Sîndy.
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In January I was at the excellent E-Graphs Dagstuhl where I met some really amazing people.
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While working on a paper about allocation profiling in VMProf I got curious about how quickly the RPython GC can allocate an object.
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I wanted to investigate the warmup behavior of the PyPy interpreter, so I wrote a somewhat arbitrary microbenchmark: all_results = set() num = int(sys.argv[1]) class A(object): pass def main(): res = 0 for i in range(num): a = A()
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Meta Note: This post was in my draft folder for the PyPy blog for three years, and various people gave the feedback "wtf are you even talking about".
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I mainly post on the PyPy blog, but there are sometimes things I write that don't really fit there.
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We don't do this regularly or anything, but every couple of years I look at how the PyPy binary sizes have developed in the meantime.
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I really enjoyed the two posts by Christophe Grand about Datalog, Writing the Worst Datalog Ever in 26loc and Half Dumb Datalog in 30 loc (even more than the first one), so I ended up porting them to Python.
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I was inspired by Phil Zucker's blog post Naive Automata Minimization.
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Somebody was Wrong on the Internet about the performance of Python, using computing Collatz sequence as a benchmark.