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  • Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and concise introduction? Then this is the book for you. You’ll cut through the complexity of online documentation and discover how easily you can get up to speed with these Python libraries. You’ll also understand why they’re powerful enough for many of today’s leading scientists and engineers.

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  • We, NumPy users, live in exciting times. New NumPy-related developments seem to come to our attention every week or maybe even daily. When this book was being written, NumPy Foundation of Open Code for Usable Science was created. The Numba project—NumPy-aware, dynamic Python compiler using LLVM—was announced. Also, Google added support to their Cloud product Google App Engine. In the future, we can expect improved concurrency support for clusters of GPUs and CPUs. OLAP-like queries will be possible with NumPy arrays.

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  • Author Ivan Idris Reviewers Lorenzo Bolla Seth Brown John Douglas Finn Arup Nielsen Ryan R. Rosario Stefan Scherfke Senior Acquisition Editor Usha Iyer Development Editor Hyacintha D'Souza Technical Editors Apoorva Bolar Aaron Rosario Indexer Tejal Daruwale Graphics Valentina D'silva Production Coordinator Aparna Bhagat Cover Work Aparna Bhagat Copy Editor Brandt D'Mello Project Coordinator Srimoyee Ghoshal Proofreader Stephen Swaney

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  • Starting with release 2.0, OpenCV has a new Python interface. This replaces the previous SWIGbased Python interface. Some highlights of the new bindings:  single import of all of OpenCV using import cv  OpenCV functions no longer have the ”cv” prefix  simple types like CvRect and CvScalar use Python tuples  sharing of Image storage, so image transport between OpenCV and other systems (e.g. numpy and ROS) is very efficient  complete documentation for the Python functions

    pdf1104p buitanan 03-12-2011 174 55   Download

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