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| | Python Data Analytics: With Pandas, NumPy, and Matplotlib
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.
This revision is fully updated with new content on social media data analysis, image ... | | Mathematica Cookbook
Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data... |
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Python 3 Object-Oriented Programming - Second Edition
Unleash the power of Python 3 objects
About This Book
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Stop writing scripts and start architecting programs
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Learn the latest Python syntax and libraries
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A practical, hands-on tutorial that teaches you all about abstract design patterns and how to implement them in Python...
| | Java Image Processing Recipes: With OpenCV and JVM
Quickly obtain solutions to common Java image processing problems, learn best practices, and understand everything OpenCV has to offer for image processing. You will work with a JVM image wrapper to make it very easy to run image transformation through pipelines and obtain instant visual feedback. This book makes heavy use of the ... | | The Art of R Programming: A Tour of Statistical Software Design
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.
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