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Developing Games on the Raspberry Pi: App Programming with Lua and LÖVE
Developing Games on the Raspberry Pi: App Programming with Lua and LÖVE

Learn to set up a Pi-based game development environment, and then develop a game with Lua, a popular scripting language used in major game frameworks like Unreal Engine (BioShock Infinite), CryEngine (Far Cry series), Diesel (Payday: The Heist), Silent Storm Engine (Heroes of Might and Magic V) and many others. More importantly,...

C++17 Standard Library Quick Reference: A Pocket Guide to Data Structures, Algorithms, and Functions
C++17 Standard Library Quick Reference: A Pocket Guide to Data Structures, Algorithms, and Functions
This quick reference is a condensed guide to the essential data structures, algorithms, and functions provided by the C++17 Standard Library. It does not explain the C++ language or syntax, but is accessible to anyone with basic C++ knowledge or programming experience. Even the most experienced C++ programmer will learn a thing or two...
Practical Haskell: A Real World Guide to Programming
Practical Haskell: A Real World Guide to Programming

Get a practical, hands-on introduction to the Haskell language, its libraries and environment, and to the functional programming paradigm that is fast growing in importance in the software industry. This book contains excellent coverage of the Haskell ecosystem and supporting tools, include Cabal and Stack for managing projects,...

Stylish F#: Crafting Elegant Functional Code for .NET and .NET Core
Stylish F#: Crafting Elegant Functional Code for .NET and .NET Core

Why just get by in F# when you can program in style! This book goes beyond syntax and into design. It provides F# developers with best practices, guidance, and advice to write beautiful, maintainable, and correct code.

Stylish F# covers every design decision that a developer makes in constructing F#...

Neural Networks for Electronics Hobbyists: A Non-Technical Project-Based Introduction
Neural Networks for Electronics Hobbyists: A Non-Technical Project-Based Introduction
Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you'll build an electronics project, providing a hands-on experience in training a network. 

There are no prerequisites here and you won't see a single line of
...
Secret Recipes of the Python Ninja: Over 70 recipes that uncover powerful programming tactics in Python
Secret Recipes of the Python Ninja: Over 70 recipes that uncover powerful programming tactics in Python

Test your Python programming skills by solving real-world problems

Key Features

  • Access built-in documentation tools and improve your code.
  • Discover how to make the best use of decorator and generator functions
  • Enhance speed and improve concurrency by...
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a ‘thought process’ that is capable of learning abstract...
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA

Build GPU-accelerated high performing applications with Python 2.7, CUDA 9, and open source libraries such as PyCUDA and scikit-cuda. We recommend the use of Python 2.7 as this version has stable support across all libraries used in this book.

Key Features

  • Get to grips with GPU programming...
Block Trace Analysis and Storage System Optimization: A Practical Approach with MATLAB/Python Tools
Block Trace Analysis and Storage System Optimization: A Practical Approach with MATLAB/Python Tools
Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the...
Statistical Computing in C++ and R (Chapman & Hall/CRC The R Series)
Statistical Computing in C++ and R (Chapman & Hall/CRC The R Series)

With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather...

Advanced Principles for Improving Database Design, Systems Modeling, and Software Development
Advanced Principles for Improving Database Design, Systems Modeling, and Software Development
Recent years have witnessed giant leaps in the strength of database technologies, creating a new level of capability to develop advanced applications that add value at unprecedented levels in all areas of information management and utilization. Parallel to this evolution is a need in the academia and industry for authoritative references to...
Image Processing: Tensor Transform and Discrete Tomography with MATLAB ®
Image Processing: Tensor Transform and Discrete Tomography with MATLAB ®

Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB® introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along...

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