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The First 15 Years of PyPy — a Personal Retrospective

morepypy.blogspot.com · 9 September 2018 · 31 min read

A post on morepypy.blogspot.com, published 9 September 2018, has not been cited by any blog yet (corpus.blog, measured 9 October 2026).

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Elsewhere on morepypy.blogspot.com (20)
https://morepypy.blogspot.com/2007/11/sprint-pictures.html
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Controlling the Tracing of an Interpreter With Hints, Part 2: Controlling Optimization Read at the source (opens in a new tab)
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Controlling the Tracing of an Interpreter With Hints, Part 3: Putting it All Together Read at the source (opens in a new tab)
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https://morepypy.blogspot.com/2007/10/first-post.html
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https://morepypy.blogspot.com/2009/03/applying-tracing-jit-to-interpreter.html
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Oh, and btw: PyPy gets funding through "Eurostars" Read at the source (opens in a new tab)
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Efficiently Implementing Python Objects With Maps Read at the source (opens in a new tab)
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More Compact Lists with List Strategies Read at the source (opens in a new tab)
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A snake which bites its tail: PyPy JITting itself Read at the source (opens in a new tab)
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Incremental Garbage Collector in PyPy Read at the source (opens in a new tab)
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PyPy memory and warmup improvements (2) - Sharing of Guards Read at the source (opens in a new tab)
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Warmup improvements: more efficient trace representation Read at the source (opens in a new tab)
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PowerPC backend for the JIT Read at the source (opens in a new tab)
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PyPy Enterprise Edition Read at the source (opens in a new tab)
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Using virtualenv with PyPy Read at the source (opens in a new tab)
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Couchbase contribution to PyPy Read at the source (opens in a new tab)
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Using CPython extension modules with PyPy natively, or: PyPy can load .pyd files with CPyExt! Read at the source (opens in a new tab)
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PyPy v5.9 Released, Now Supports Pandas, NumPy Read at the source (opens in a new tab)
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https://morepypy.blogspot.com/2017/10/cape-of-good-hope-for-pypy-hello-from.html Read at the source (opens in a new tab)
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PyPy gets funding from Mozilla for Python 3.5 support Read at the source (opens in a new tab)
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