Original PDF Ebook – IPython Interactive Computing and Visualization Cookbook – Second Edition2nd EditionOver 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook – 9781785888632

Original PDF Ebook – IPython Interactive Computing and Visualization Cookbook – Second Edition2nd EditionOver 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook – 9781785888632

Learn to use IPython and Jupyter Notebook for your data analysis and visualization work.
About This Book
Leverage the Jupyter Notebook for interactive data science 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
Who This Book Is For
This 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.
What You Will Learn
Master all features of the Jupyter Notebook
Code better: write high-quality, readable, and well-tested programs; profile and optimize your code; and conduct reproducible interactive computing experiments
Visualize data and create interactive plots in the Jupyter Notebook
Write blazingly fast Python programs with NumPy, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA), parallel IPython, Dask, and more
Analyze data with Bayesian or frequentist statistics (Pandas, PyMC, and R), and learn from actual data through machine learning (scikit-learn)
Gain valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV
Simulate deterministic and stochastic dynamical systems in Python