IPython Interactive Computing and Visualization Cookbook

Datenanalyse & Big Data

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Buchbeschreibung zu „IPython Interactive Computing and Visualization Cookbook“

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.

Über Cyrille Rossant

Cyrille Rossant is a researcher in neuroinformatics, and is a graduate of Ecole Normale Superieure, Paris, where he studied mathematics and computer science. He has worked at Princeton University, University College London, and College de France.
As part of his data science and software engineering projects, he gained experience in machine learning, high-performance computing, parallel computing, and big data visualization. He is one of the developers of Vispy, a high-performance visualization package in Python. He is the author of Learning IPython for Interactive Computing and Data Visualization, Packt Publishing, a beginner-level introduction to data analysis in Python, and the prequel of this book.


Packt Publishing




ca. 473

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