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Cython
Kurt Smith
€ 32.99
€ 23.79
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Description for Cython
Paperback. 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. Num Pages: 254 pages, black & white illustrations. BIC Classification: UMW. Category: (XV) Technical / Manuals. Dimension: 233 x 178 x 14. Weight in Grams: 450.
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 ... Read more
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 ... Read more
Product Details
Publisher
O´Reilly Media
Format
Paperback
Publication date
2015
Condition
New
Number of Pages
254
Place of Publication
Sebastopol, United States
ISBN
9781491901557
SKU
V9781491901557
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
About Kurt Smith
Kurt Smith has been using Python in scientific computing ever since his college days, looking for any opportunity to incorporate it into his computational physics classes. He has contributed to the Cython project as part of the 2009 Google Summer of Code, implementing the initial version of typed memoryviews and native cython arrays. He uses Cython extensively in his consulting ... Read more
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