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Scientific Computing with Python 3
Key Features
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Your ultimate resource for getting up and running with Python numerical computations
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Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
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A hands-on guide to implementing mathematics with Python, with complete...
| | Big Data Visualization
Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book... | | Java for Data Science
Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine learning Who This Book Is... |
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Mastering IPython 4.0
Key Features
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Most updated book on Interactive computing with IPython 4.0;
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Detailed, example-rich guide that lets you use the most advanced level interactive programming with IPython;
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Get flexible interactive programming with IPython using this comprehensive guide
... | | Java Data Science Cookbook
Key Features
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This book provides modern recipes in small steps to help an apprentice cook become a master chef in data science
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Use these recipes to obtain, clean, analyze, and learn from your data
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Learn how to get your data science applications to production and enterprise...
| | Python Data Analysis
Key Features
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Find, manipulate, and analyze your data using the Python 3.5 libraries
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Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
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An easy-to-follow guide with realistic examples that are frequently used in real-world data
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