Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Language: English
Published by O'Reilly Media 1/31/2015, 2015
ISBN 10: 1491901551 ISBN 13: 9781491901557
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Cython: A Guide for Python Programmers. Book.
Language: English
Published by O'reilly Media Feb 2015, 2015
ISBN 10: 1491901551 ISBN 13: 9781491901557
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - 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 the barrier between Python and C, Cython harnesses the best of both languages while remaining familiar and comfortable to Python users.Cython has proven its usefulness in many foundational projects: Pandas, SymPy, Sage, and dozens of others, both open and closed source. You'll learn how Cython is an essential part of any performance-oriented Python programmer's arsenal.