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ipython Interactive Computing und - Taschenbuch, von Rossant Cyrille - Gut-

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IPython Interactive Computing and - Paperback, by Rossant Cyrille - Good
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Artikelzustand
Gut: Buch, das gelesen wurde, sich aber in einem guten Zustand befindet. Der Einband weist nur sehr ...
Book Title
IPython Interactive Computing and Visualization Cookbook: Over 10
ISBN
9781783284818
Kategorie

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Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1783284811
ISBN-13
9781783284818
eBay Product ID (ePID)
246007436

Product Key Features

Publication Year
2014
Subject
Mathematical & Statistical Software, Data Visualization, Programming Languages / Python
Number of Pages
512 Pages
Language
English
Publication Name
Ipython Interactive Computing and Visualization Cookbook
Type
Textbook
Author
Cyrille Rossant
Subject Area
Computers
Format
Trade Paperback

Additional Product Features

Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.133
Synopsis
Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods., Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes Key Features Leverage the new features of the IPython notebook for interactive web-based big data analysis and visualization Become an expert in high-performance computing and visualization for data analysis and scientific modeling A comprehensive coverage of scientific computing through many hands-on, example-driven recipes with detailed, step-by-step explanations Book Description IPython is at the heart of the Python scientific stack. With its widely acclaimed web-based notebook, IPython is today an ideal gateway to data analysis and numerical computing in Python. IPython Interactive Computing and Visualization Cookbook contains many ready-to-use focused recipes for high-performance scientific computing and data analysis. The first part covers programming techniques, including code quality and reproducibility; code optimization; high-performance computing through dynamic compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics. What you will learn 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 valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV Learn how to write blazingly fast Python programs with NumPy, PyTables, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA and OpenCL), parallel IPython, MPI, and many more Who this book is for This book is for web developers who want to build the next generation of state-of-the-art mobile and desktop web applications with Angular. This book does not require you to have prior exposure to either Angular 1.x, 2 or 4, although comprehensive knowledge of JavaScript is assumed.

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