| Record ID | marc_columbia/Columbia-extract-20221130-028.mrc:95668499:3741 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-028.mrc:95668499:3741?format=raw |
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001 13674471
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008 150127s2015 cau o 001 0 eng d
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100 1 $aSmith, Kurt W.,$eauthor.
245 10 $aCython /$cKurt W. Smith.
246 14 $aCython : a guide for Python programmers
250 $aFirst edition.
264 1 $a[Sebastopol, CA] :$bO'Reilly,$c[2015]
264 4 $c©2015
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
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588 0 $aOnline resource; title from PDF title page (Ebsco, viewed January 29, 2015).
500 $aIncludes index.
520 $aBuild 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. Use Cython's static typing to speed up Python code Gain hands-on experience using Cython features to boost your numeric-heavy Python Create new types with Cython--and see how fast object-oriented programming in Python can be Effectively organize Cython code into separate modules and packages without sacrificing performance Use Cython to give Pythonic interfaces to C and C++ libraries Optimize code with Cython's runtime and compile-time profiling tools Use Cython's prange function to parallelize loops transparently with OpenMP.
650 0 $aPython (Computer program language)
650 0 $aProgramming languages (Electronic computers)
650 6 $aPython (Langage de programmation)
650 7 $aCOMPUTERS$xProgramming Languages$xPython.$2bisacsh
650 7 $aProgramming languages (Electronic computers)$2fast$0(OCoLC)fst01078704
650 7 $aPython (Computer program language)$2fast$0(OCoLC)fst01084736
776 08 $iPrint version:$aSmith, Kurt W.$tCython.$dSebastopol, California : O'Reilly Media. c2015$hxvi, 234 pages$z9781491901557
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio13674471$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS