IPython Interactive Computing and Visualization Cookbook - Second Edition - Info and Reading Options

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bLearn to use IPython and Jupyter Notebook for your data analysis and visualization work./bh2About This Book/h2ulliLeverage the Jupyter Notebook for interactive data science and visualization/liliBecome an expert in high-performance computing and visualization for data analysis and scientific modeling/liliA comprehensive coverage of scientific computing through many hands-on, example-driven recipes with detailed, step-by-step explanations/li/ulh2Who This Book Is For/h2This book is intended for anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, and hobbyists. A basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.h2What You Will Learn/h2ulliMaster all features of the Jupyter Notebook/liliCode better: write high-quality, readable, and well-tested programs; profile and optimize your code; and conduct reproducible interactive computing experiments/liliVisualize data and create interactive plots in the Jupyter Notebook/liliWrite blazingly fast Python programs with NumPy, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA), parallel IPython, Dask, and more/liliAnalyze data with Bayesian or frequentist statistics (Pandas, PyMC, and R), and learn from actual data through machine learning (scikit-learn)/liliGain valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV/liliSimulate deterministic and stochastic dynamical systems in Python/liliFamiliarize yourself with math in Python using SymPy and Sage: algebra, analysis, logic, graphs, geometry, and probability theory/li/ulh2In Detail/h2Python is one of the leading open source platforms for data science and numerical computing. IPython and the associated Jupyter Notebook offer efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform.IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning.The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time 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. h2Style and approach/h2IPython Interactive Computing and Visualization Cookbook, Second Edition is a practical, hands-on book that will teach you how to analyze and visualize all kinds of data in the Jupyter Notebook

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