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 Practical Neo4j
Why have developers at places like Facebook and Twitter increasingly turned to graph databases to manage their highly connected big data? The short answer is that graphs offer superior speed and flexibility to get the job done.
It’s time you added skills in graph databases to your toolkit.... | | Designing Machine Learning Systems with Python
Design efficient machine learning systems that give you more accurate results
About This Book
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Gain an understanding of the machine learning design process
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Optimize machine learning systems for improved accuracy
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Understand common programming tools and techniques for machine...
| | Think DSP: Digital Signal Processing in Python
If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone,... |
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Getting Started with OpenShift
Intrigued by the possibilities of developing web applications in the cloud? With this concise book, you get a quick hands-on introduction to OpenShift, the open source Platform as a Service (PaaS) offering from Red Hat. You’ll learn the steps necessary to build, deploy, and host a complete real-world application on OpenShift,... | | Objective-C Programmer's Reference
Objective-C Programmer's Reference provides the tools necessary to write software in Objective-C—the language of choice for developing iOS and OS X applications. Author Carlos Oliveira begins from the basic building blocks of the language. He shows how to create correct and efficient applications by applying your knowledge... | | Data Science from Scratch: First Principles with Python
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from... |
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Think Bayes
If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you... | | Raspberry Pi Projects for Kids
Technology today is growing rapidly, with all sorts of cool gadgets, applications, and games made thanks to the rise of computer programming. The Raspberry Pi is a crafty device that has promoted the teaching of basic computer science in schools, catching the attention of both young and old. Although learning to program offers a unique set of... | | BeagleBone Home Automation
The Internet of Things is now being taken up by tech corporations but this fantastic book brings you the DIY approach to home automation using BeagleBone. From dimming the lights to opening the garage door -- it's all here.
Overview
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Practical approach to home automation using BeagleBone; starting from...
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Think Stats
If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
By working with a single case study throughout this... | | Selenium Testing Tools Cookbook
Unlock the full potential of Selenium WebDriver to test your web applications in a wide range of situations. The countless recipes and code examples provided ease the learning curve and provide insights into virtually every eventuality.
Overview
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Learn to leverage the power of Selenium WebDriver with...
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