IPython Interactive Computing and Visualization Cookbook
Over 100 hands-on recipes on high-performance numerical computing and data science in the Jupyter Notebook
by Cyrille Rossant
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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. 
Book Description
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
Chapter 1
A Tour of Interactive Computing with Jupyter and IPython
Chapter 2
Best practices in Interactive Computing
Chapter 3
Mastering the Jupyter Notebook
Chapter 4
Profiling and Optimization
Chapter 5
High-Performance Computing
Chapter 6
Data Visualization
Chapter 7
Statistical Data Analysis
Chapter 8
Machine Learning
Chapter 9
Numerical Optimization
Chapter 10
Signal Processing
Chapter 11
Image and Audio Processing
Chapter 12
Deterministic Dynamical Systems
Chapter 13
Stochastic Dynamical Systems
Chapter 14
Graphs, Geometry, and Geographic Information Systems
Chapter 15
Symbolic and Numerical Mathematics
Book Details
Title
IPython Interactive Computing and Visualization Cookbook
Subject
Computer Science
Publisher
Packt Publishing
Published
2018
Pages
548
Edition
2
Language
English
ISBN13 Digital
9781785888632
ISBN10 Digital
1785888633
License
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