Download e-book for iPad: IPython Interactive Computing and Visualization Cookbook by Cyrille Rossant

About This Book

• Leverage the recent positive aspects of the IPython workstation for interactive web-based gigantic info research and visualization
• Become a professional in high-performance computing and visualization for facts research and medical modeling
• A finished assurance of medical computing via many hands-on, example-driven recipes with specified, step by step explanations

Who This ebook Is For

Intended to an individual attracted to numerical computing and knowledge technology: scholars, researchers, lecturers, engineers, analysts, hobbyists... uncomplicated wisdom of Python/NumPy is suggested. a few talents in arithmetic can assist the speculation in the back of the computational methods.

What you are going to Learn

• Code greater via writing top quality, readable, and well-tested courses; profiling and optimizing your code, and engaging in reproducible interactive computing experiments
• Master the entire new positive factors of the IPython computing device, together with the interactive HTML/JavaScript widgets
• Analyze info with Bayesian and frequentist statistics (Pandas, PyMC, and R), and study from information with desktop studying (scikit-learn)
• Gain necessary insights into indications, photographs, and sounds with SciPy, scikit-image, and OpenCV
• Learn the way to write blazingly speedy Python courses with NumPy, PyTables, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA and OpenCL), parallel IPython, MPI, and lots of more

In Detail

IPython is on the middle of the Python clinical stack. With its extensively acclaimed web-based computer, IPython is at the present time an awesome gateway to info research and numerical computing in Python.

IPython Interactive Computing and Visualization Cookbook includes many ready-to-use targeted recipes for high-performance clinical computing and information research. the 1st half covers programming strategies, together with code caliber and reproducibility; code optimization; high-performance computing via dynamic compilation, parallel computing, and pics card programming. the second one half tackles info technological know-how, statistics, desktop studying, sign and snapshot processing, dynamical platforms, and natural and utilized mathematics.