pyspa Advent Calendar 2021のエントリーです。昨日は@kuenishiさんでした。 どんなプログラミング言語でも、最終的にはOSへのシステムコールとなってプログラマーがやりたいことを実現しています。文字列をコンソールに出したり、ファイル入出力、ネットワーク入出力などなど。Goの場合Goならわかるシステムプログラミングという本がありますね。もちろん、みんな一人10冊ずつぐらいお買い上げのことだと思いますが、せっかくなので他の言語でも見てみましょう。 ここで扱うのは先日、TIOBEインデックスでプログラミング言語の人気No.1になったPythonです。 ただし、Pythonでメインの処理系のCPythonではなくてPyPyで見ていきます。理由は後から説明します。 PyPyのコードは次の場所でホストされています。 早速、次のコードの中身を見ていきましょう。 print()
PyPy v7.2 released
The PyPy team is proud to release the version 7.2.0 of PyPy, which includes two different interpreters: PyPy2.7, which is an interpreter supporting the syntax and the features of Python 2.7 including the stdlib for CPython 2.7.13 PyPy3.6: which is an interpreter supporting the syntax and the features of Python 3.6, including the stdlib for CPython 3.6.9. The interpreters are based on much the same
PyPy v7.0.0: triple release of 2.7, 3.5 and 3.6-alpha
PyPy v7.0.0: triple release of 2.7, 3.5 and 3.6-alpha The PyPy team is proud to release the version 7.0.0 of PyPy, which includes three different interpreters: PyPy2.7, which is an interpreter supporting the syntax and the features of Python 2.7 PyPy3.5, which supports Python 3.5 PyPy3.6-alpha: this is the first official release of PyPy to support 3.6 features, although it is still considered alph
本記事はFOLIO Advend Calendar 22日目のものです． 昨日は yoshiko_pg さんで「git grepでソースコード内検索のあれこれ」でした． はじめに みなさんは PyPy についてご存知ですか？ PyPy とは非常に高速な Python 処理系で，通常の CPython に比べると約８倍の高速化を達成しています1. 何故早くなったのか，それは，Meta-Tracing JIT コンパイラを搭載した特殊な言語によって実装され，PyPy には JIT コンパイラが付属しているからなのです． 以降では JIT の話は省略しますが，一言でいうと「よく実行される部分を機械語にコンパイルして実行する」というもので，プログラムの大幅な速度向上が期待できます． 今回は，その特殊な言語 RPython と Meta-Tracing JIT という技術について触れていこうと思いま
Improving SyntaxError in PyPy
For the last year, my halftime job has been to teach non-CS uni students to program in Python. While doing that, I have been trying to see what common stumbling blocks exist for novice programmers. There are many things that could be said here, but a common theme that emerges is hard-to-understand error messages. One source of such error messages, particularly when starting out, is SyntaxErrors. P
PyPy2.7 and PyPy3.5 v6.0 dual release
The PyPy team is proud to release both PyPy2.7 v6.0 (an interpreter supporting Python 2.7 syntax), and a PyPy3.5 v6.0 (an interpreter supporting Python 3.5 syntax). The two releases are both based on much the same codebase, thus the dual release. This release is a feature release following our previous 5.10 incremental release in late December 2017. Our C-API compatibility layer cpyext is now much
PyPy2.7 and PyPy3.5 v5.10 dual release
The PyPy team is proud to release both PyPy2.7 v5.10 (an interpreter supporting Python 2.7 syntax), and a final PyPy3.5 v5.10 (an interpreter for Python 3.5 syntax). The two releases are both based on much the same codebase, thus the dual release. This release is an incremental release with very few new features, the main feature being the final PyPy3.5 release that works on linux and OS X with be
PyPy v5.9 Released, Now Supports Pandas, NumPy
The PyPy team is proud to release both PyPy3.5 v5.9 (a beta-quality interpreter for Python 3.5 syntax) and PyPy2.7 v5.9 (an interpreter supporting Python 2.7 syntax). NumPy and Pandas now work on PyPy2.7 (together with Cython 0.27.1). Many other modules based on C-API extensions work on PyPy as well. Cython 0.27.1 (released very recently) supports more projects with PyPy, both on PyPy2.7 and PyPy3
By Paweł Piotr Przeradowski Is it possible to hit a million requests per second with Python? Probably not until recently. A lot of companies are migrating away from Python and to other programming languages so that they can boost their operation performance and save on server prices, but there’s no need really. Python can be right tool for the job. The Python community is doing a lot of around per
Let's remove the Global Interpreter Lock
Hello everyone The Python community has been discussing removing the Global Interpreter Lock for a long time. There have been various attempts at removing it: Jython or IronPython successfully removed it with the help of the underlying platform, and some have yet to bear fruit, like gilectomy. Since our February sprint in Leysin, we have experimented with the topic of GIL removal in the PyPy proje
PowerPC backend for the JIT
Hi all, PyPy's JIT now supports the 64-bit PowerPC architecture! This is the third architecture supported, in addition to x86 (32 and 64) and ARM (32-bit only). More precisely, we support Linux running the big- and the little-endian variants of ppc64. Thanks to IBM for funding this work! The new JIT backend has been merged into "default". You should be able to translate PPC versions as usual direc
PyPy v5.8 released
The PyPy team is proud to release both PyPy2.7 v5.8 (an interpreter supporting Python 2.7 syntax), and a beta-quality PyPy3.5 v5.8 (an interpreter for Python 3.5 syntax). The two releases are both based on much the same codebase, thus the dual release. Note that PyPy3.5 supports Linux 64bit only for now. This new PyPy2.7 release includes the upstream stdlib version 2.7.13, and PyPy3.5 includes the
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