• Learn and improve the sequential performance characteristics of your software
• Understand the use of operating system processes in a high-scale...

• Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease
• Leverage the power of Python,...

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

• A practical guide on the fundamentals of application development with QT 5
• Learn to write scalable, robust and adaptable C++ code with QT
• Deploy your...

Develop and use bots in video gaming to automate game processes and see possible ways to avoid this kind of automation. This book explains how bots can be very helpful in games such as multiplayer online games, both for training your character and for automating repetitious game processes in order to start a competition with human...

• Leverage practical examples to manage containers efficiently
• Integrate with orchestration tools such as Kubernetes for controlled deployments
• Learn to implement best practices on improving...

• Understand the Ethereum Ecosystem and its differences from its rich cousin Bitcoin
• Explore the Solidity programming language and smart contract optimizations
...

• Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j
...

This textbook describes the rules for the design of steel and composite building structures according to Eurocodes, covering the structure as a whole, as well as the design of individual structural components and connections. It addresses the following topics: the basis of design in the Eurocodes framework; the loads applied to...