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Build an Awesome PC, 2014 Edition: Easy Steps to Construct the Machine You Need (The Pragmatic Programmers)

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Custom-build your own dream PC, have fun doing it, and save yourself a lot of money in the process. This book will give you the confidence to buy the best-of-class components and assemble them with clear, step-by-step instructions. You'll build your own PC capable of effortlessly running the most graphic and CPU-intensive games, graphics software, and programming compilers available today. And because it's a PC that you built yourself, you'll be able to keep it up to date with the latest hardware innovations.

Build your own high-end personal computer capable of running the latest cutting-edge software. Easy-to-follow instructions and plenty of photos show you how to assemble your computer from start to finish, carefully pointing out areas of interest and best practices for each major component used.

All PC parts from power supplies, graphics cards, RAM, CPUs, cooling fans, and cases are covered, along with a number of PC peripherals. The book will give you the confidence and freedom to build your PC just the way you want it. Each chapter focuses on a major PC function, shows you the best parts to buy, and illustrates how they fit within the build. Start with a well ventilated case and energy efficient power supply. Then install a state-of-the-art motherboard and blazingly fast CPU. Add ultra-fast memory along with solid state and traditional disk-based storage. Connect the power and data cables to this cutting-edge collection of hardware. Finish up with a multi-functional keyboard, mouse, and other high-end peripherals.

With each step, you'll discover how the computer technologies recommended in the book work together to deliver the ultimate PC hardware experience. And once you're finished building your new PC, you'll learn additional techniques that will future-proof it for years to come.

What You Need:

A variety of PC parts and operating system software (Windows or Linux).

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Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python
Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python

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