Titre: 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
�diteur: Packt Pub Ltd (edition )
Date de parution: 2014
Langue: anglais
ISBN � 10 chiffres: 1783284811
ISBN � 13 chiffres: 9781783284818
Reliure: Paperback
�tat de l'article: Good

A propos de ce titre

Synopsis

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.

� propos de l?auteur

Cyrille Rossant, PhD, is a neuroscience researcher and software engineer at University College London. He is a graduate of �cole Normale Sup�rieure, Paris, where he studied mathematics and computer science. He has also worked at Princeton University and Coll�ge 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.

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