IPython Interactive Computing and Visualization Cookbook

Купить бумажную книгу и читать

Купить бумажную книгу

По кнопке выше можно купить бумажные варианты этой книги и похожих книг на сайте интернет-магазина "Лабиринт".

Using the button above you can buy paper versions of this book and similar books on the website of the "Labyrinth" online store.

Реклама. ООО "ЛАБИРИНТ.РУ", ИНН: 7728644571, erid: LatgCADz8.

Название: IPython Interactive Computing and Visualization Cookbook

Автор: Cyrille Rossant

Издательство: Packt Publishing

Год: 2014

Страниц: 423

ISBN: 1783284811, 9781783284818

Формат: EPUB

Размер: 5.2 Мб

Язык: English

Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python

About This BookLeverage the new features of the IPython notebook for interactive web-based big data analysis and visualizationBecome an expert in high-performance computing and visualization for data analysis and scientific modelingA comprehensive coverage of scientific computing through many hands-on, example-driven recipes with detailed, step-by-step explanations

Who This Book Is For

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.

In Detail

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.

Дата создания страницы: