Writing C in Cython
For the last two years, I’ve done almost all of my work in Cython. And I don’t mean, I write Python, and then “Cythonize” it, with various type-declarations etc. I just, write Cython. I use “raw” C structs and arrays, and occasionally C++ vectors, with a thin wrapper around malloc/free that I wrote myself. The code is almost always exactly as fast as C/C++, because it really is just C/C++ with som
Introduction to cython
CuPyの簡単な解説を行います。NumPyと比較してCuPyによりどのくらい早くなるかや、利用上の注意点（メモリプール）について説明します。 ElementwiseKenrnel, ReductionKernelの使い方も解説します。 CuPyの実装のすごーくざっくーりした全体概要にも触れます。
Numba vs. Cython: Take 2 | Pythonic Perambulations
Last summer I wrote a post comparing the performance of Numba and Cython for optimizing array-based computation. Since posting, the page has received thousands of hits, and resulted in a number of interesting discussions. But in the meantime, the Numba package has come a long way both in its interface and its performance. Here I want to revisit those timing comparisons with a more recent Numba rel
Memoryview Benchmarks | Pythonic Perambulations
There was recently a thread on cython-users which caught my eye. It has to do with memoryviews, a new way of working with memory buffers in cython. I've been thinking recently about how to do fast and flexible memory buffer access in cython. I contributed the BallTree implementation for nearest neighbors searching in scikit-learn, and have been actively thinking about how to make it faster and mor
NumPyが物足りない人へのCython入門
18 Mar. 2012 第３回Tokyo.Scipyにて発表したスライドです。 CythonだけではなくF2Pyにも触れていてかなりカオスな内容です。
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Isaac Slavitt: Speeding up non-vectorizable code with Cython
GitHub - shoyer/cyordereddict: Cython implementation of OrderedDict
https://www.redbrain.com/language-design-and-typing
Jupyter Notebook Viewer
Cython: Optimising for speed
Wrapping a C++ library with Cython
Cython ドキュメント（和訳） — Cython 0.17.1 documentation