Build software that combines Python’s expressivity with the performance and control of C (and C++). It’s possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practical guide, you’ll learn how to use Cython to improve Python’s performance—up to 3000x— and to wrap C and C++ libraries in Python with ease.
Author Kurt Smith takes you through Cython’s capabilities, with sample code and in-depth practice exercises. If you’re just starting with Cython, or want to go deeper, you’ll learn how this language is an essential part of any performance-oriented Python programmer’s arsenal.
리얼타임 eBook 안내
PDF 형식으로 제공되며, 다운로드한 eBook은 PDF 포맷을 지원하는 디바이스 또는 프로그램에서 제한없이 열람할 수 있습니다. 또한 eBook 내의 텍스트 검색 및 인쇄도 가능합니다.