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 - Softcover

Rossant, Cyrille

Softcover

ISBN 10: 1783284811 ISBN 13: 9781783284818

Publisher: Packt Pub Ltd, 2014

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.

About this title

About the Author

Dr. Cyrille Rossant is a French researcher in computational neuroscience. A graduate of the Ecole Normale Supérieure, Paris, where he studied Mathematics and Computer Science, he has also worked at Princeton University and University College London. He is interested in all kinds of relationships between brains and computers, including models of neural processing, high-performance simulations of neural networks, and analysis of neurophysiologic data.

He has also worked on parallel computing and high-performance visualization technologies for Python, and he is a core developer of Vispy, a visualization package. He is the author of Learning IPython for Interactive Computing and Data Visualization, Packt Publishing, the prequel of this cookbook.

Edition details

• Publisher: Packt Pub Ltd
• Publication date: 2014
• Language: English
• ISBN 10: 1783284811
• ISBN 13: 9781783284818
• Binding: Paperback
• Number of pages: 494