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blog.pyston.org
We are proud to announce Pyston v2.2, the latest version of our faster implementation of the Python programming language. This version is significantly faster than previous ones, and importantly is now open source. We also merged in many changes from CPython and are now based on CPython 3.8.8. Performance Pyston v2.2 is 30% faster than stock Python on our web server benchmarks. This is a significa
We’re very excited to release Pyston v2, a faster and highly compatible implementation of the Python programming language. Version 2 is 20% faster than stock Python 3.8 on our macrobenchmarks. More importantly, it is likely to be faster on your code. Pyston v2 can reduce server costs, reduce user latencies, and improve developer productivity. Pyston v2 is easy to deploy, so if you’re looking for b
Hello all, we’re happy to release Pyston version 0.6.1, the latest version of our high-performance Python JIT. v0.6.1 contains performance enhancements over 0.6, bringing Pyston to 95% faster than CPython on standard benchmarks. On the other hand, this is the last release that Dropbox is sponsoring. We wanted to take some time to talk about what that means, both about the space of Python perform
We are excited to announce the v0.5.1 release of Pyston, our high performance Python JIT. This minor release passes all SciPy tests and is on average about 15% faster than 0.5.0. In addition several bug fixes and compatibility improvements got merged. Performance related changes: We released recently a blog post about our baseline JIT and inline caches. This release brings a lot of improvements in
Creating an implementation for a dynamic language using just in time compilation (JIT) techniques involves a lot of compromises mainly between complexity of the implementation, speed, warm-up time and memory usage. Especially speed is a difficult trade-off because it’s very easy to end-up spending more time optimizing a piece of code and emitting the assembly than we will ever be able to save by e
For a list of common questions about our project, please see our FAQ. We are very excited to release Pyston 0.4, the latest version of our high-performance Python JIT. We have a lot to announce with this release, with the highlights of being able to render Dropbox webpages, and achieve performance 25% better than CPython (the main Python implementation) on our benchmark suite. We are also excite
In this blog post I want to briefly describe a new feature which landed recently inside Pyston and which also touches one of the most often mentioned feedback we receive: A lot of people are under the impression that LLVM is not ready to be used as a JIT because of the main focus as a static compiler where fast code generation time is not as important as in the JIT usage. While I agree that an LLV
We’re very excited to announce that today we are releasing a new version of Pyston-lite, our Python JIT-as-an-extension-module, with the headline feature of supporting Python versions 3.7 through 3.10 (Mac and Linux). Previously we only supported Python 3.8, and support for other versions was one of our most-requested features. To install Pyston-lite, simply do pip install pyston_lite_autoload and
We’ve been working hard over the past five months and are very happy to release Pyston 0.3, the newest version of our high-performance Python implementation. The biggest features of this release are that we can now run all of our internal scripts on Pyston, as well as improved performance. We also have some exciting news to share about our project status and plans. Language compatibility Self-hos
We’re very excited to announce the release of Pyston 0.2, the latest version of Dropbox’s high-performance Python implementation, which contains substantial improvements over the initial 0.1 version. Version 0.2, while still very much a work in progress, sports much-improved language compatibility, and is able to run many of the standard libraries — and some standard extension modules — without m
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