About This Book

• Leverage the hot gains of the IPython laptop for interactive web-based enormous information research and visualization
• Become knowledgeable in high-performance computing and visualization for information research and clinical modeling
• A finished assurance of clinical computing via many hands-on, example-driven recipes with specific, step by step explanations

Who This ebook Is For

Intended to a person drawn to numerical computing and knowledge technological know-how: scholars, researchers, academics, engineers, analysts, hobbyists... easy wisdom of Python/NumPy is suggested. a few abilities in arithmetic may also help you already know the speculation at the back of the computational methods.

What you'll Learn

• Code greater by way of 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 aspects of the IPython workstation, together with the interactive HTML/JavaScript widgets
• Analyze info with Bayesian and frequentist data (Pandas, PyMC, and R), and study from facts with desktop studying (scikit-learn)
• Gain helpful insights into signs, photographs, and sounds with SciPy, scikit-image, and OpenCV
• Learn easy methods to write blazingly quickly Python courses with NumPy, PyTables, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA and OpenCL), parallel IPython, MPI, and plenty of more

In Detail

IPython is on the center of the Python medical stack. With its largely acclaimed web-based computing device, IPython is at the present time an excellent gateway to information research and numerical computing in Python.

IPython Interactive Computing and Visualization Cookbook includes many ready-to-use targeted recipes for high-performance medical computing and knowledge research. the 1st half covers programming suggestions, together with code caliber and reproducibility; code optimization; high-performance computing via dynamic compilation, parallel computing, and snap shots card programming. the second one half tackles information technology, information, computer studying, sign and photo processing, dynamical structures, and natural and utilized mathematics.