IPython Interactive Computing and Visualization Cookbook
โ Scribed by Cyrille Rossant
- Publisher
- Packt Publishing
- Year
- 2014
- Tongue
- English
- Leaves
- 512
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This advanced-level book covers a wide range of methods for data science with Python:
Interactive computing in the IPython notebook
High-performance computing with Python
Statistics, machine learning, data mining
Signal processing and mathematical modeling
โฆ Table of Contents
Part I: Advanced High-Performance Interactive Computing
Chapter 1: A Tour of Interactive Computing with IPython
Chapter 2: Best practices in Interactive Computing
Chapter 3: Mastering the Notebook
Chapter 4: Profiling and Optimization
Chapter 5: High-Performance Computing
Chapter 6: Advanced Visualization
Part II: Standard Methods in Data Science and Applied Mathematics
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
๐ SIMILAR VOLUMES
Learn to use IPython and Jupyter Notebook for your data analysis and visualization work Key Features โข Leverage the Jupyter Notebook for interactive data science and visualization โข Become an expert in high-performance computing and visualization for data analysis and scientific modeling โข Com
<p><b>Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python</b></p> <h2>About This Book</h2><ul><li>Leverage the new features of the IPython notebook for interactive web-based big data analysis and visualization</li><li>Become an expert
You already use Python as a scripting language, but did you know it is also increasingly used for scientific computing and data analysis? Interactive programming is essential in such exploratory tasks and IPython is the perfect tool for that. Once you've learnt it, you won't be able to live without
<p>Learn IPython for interactive Python programming, high-performance numerical computing, and data visualization </p> <p><b>Overview</b></p> <ul> <li>A practical step-by-step tutorial which will help you to replace the Python console with the powerful IPython command-line interface</li> <li>Use the