Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes
Key Features
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
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Cyrille Rossant, PhD, is a neuroscience researcher and software engineer at University College London. He is a graduate of École Normale Supérieure, Paris, where he studied mathematics and computer science. He has also worked at Princeton University and Collège de France. While working on data science and software engineering projects, he gained experience in numerical computing, parallel computing, and high-performance data visualization.He is the author of Learning IPython for Interactive Computing and Data Visualization, Second Edition, Packt Publishing.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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