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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...
| | Practical Data Science Cookbook - Second Edition
Over 85 recipes to help you complete real-world data science projects in R and Python
About This Book
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Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data
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Get beyond the theory and implement real-world projects in data science using...
| | Microservices: Flexible Software Architecture
The Most Complete, Practical, and Actionable Guide to Microservices
Going beyond mere theory and marketing hype, Eberhard Wolff presents all the knowledge you need to capture the full benefits of this emerging paradigm. He illuminates... |
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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... | | | | |
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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...
| | | | Learning SAP Analytics Cloud
Key Features
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Predict new opportunities and risks in a few mouse clicks
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Eliminate complexity with tools that let you plan, analyze, and collaborate in context—in real time
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Discover, visualize, plan, and predict in a single product with agile BI tools
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