Python 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, 2nd 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 2nd part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics.
This open book is licensed under a Creative Commons License (CC BY-NC-ND). Free download in PDF format is not available. You can read IPython Interactive Computing and Visualization Cookbook book online for free.
Table of Contents
A Tour of Interactive Computing with Jupyter and IPython
Best practices in Interactive Computing
Mastering the Jupyter Notebook
Profiling and Optimization
Statistical Data Analysis
Image and Audio Processing
Deterministic Dynamical Systems
Stochastic Dynamical Systems
Graphs, Geometry, and Geographic Information Systems
Symbolic and Numerical Mathematics