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IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python /

With its widely acclaimed web-based notebook, IPython is an ideal gateway to data analysis and numerical computing in Python. This book contains many ready-to-use focused recipes for high-performance scientific computing and data analysis. You will learn how to: code better by writing high-quality,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rossant, Cyrille
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Pub., 2014.
Colección:Community experience distilled.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a IPython interactive computing and visualization cookbook :  |b over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python /  |c Cyrille Rossant. 
246 3 0 |a Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python 
260 |a Birmingham, UK :  |b Packt Pub.,  |c 2014. 
300 |a 1 online resource (1 volume) :  |b illustrations 
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500 |a Includes index. 
520 |a With its widely acclaimed web-based notebook, IPython is an ideal gateway to data analysis and numerical computing in Python. This book contains many ready-to-use focused recipes for high-performance scientific computing and data analysis. You will learn how to: code better by writing high-quality, readable, and well-tested programs; profiling and optimizing your code, and conducting reproducible interactive computing experiments; master all of the new features of the IPython notebook, including the interactive HTML/JavaScript widgets; analyze data with Bayesian and frequentist statistics (Pandas, PyMC, and R), and learn from data with machine learning (scikit-learn); gain insight into signals, images, and sounds with SciPy, scikit-image, and OpenCV; write blazingly fast Python programs with NumPy, PyTables, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA and OpenCL), parallel IPython, MPI, and many more. --  |c Edited summary from book. 
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