<p>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 pra
Cython: a guide for Python programmers
β Scribed by Smith, Kurt W
- Publisher
- O'Reilly Media
- Year
- 2015
- Tongue
- English
- Leaves
- 253
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Cython (Computer program language);Python (Computer program language)
π SIMILAR VOLUMES
Cython can yield massive performance improvements over pure Python--speedups of 3000X are easily attainable for certain patterns. With this book, Kurt Smith shows you how to use Cython to easily wrap C and C++ libraries in Python, handling all the details of memory management for you. By removing th
Build software that combines Pythonβs expressivity with the performance and control of C (and C++). Itβs 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 practi
<div><p>Build software that combines Pythonβs expressivity with the performance and control of C (and C++). Itβs 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 thi
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 practi
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 practi