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Mastering Go: Create Golang production applications using network libraries, concurrency, and advanced Go data structures
Mastering Go: Create Golang production applications using network libraries, concurrency, and advanced Go data structures

Exploring the major features and packages of Go, along with its types and data-structures, enabling the reader to write threadsafe, concurrent cloud, and network applications

Key Features

  • Not your typical introduction to the Golang programming language
  • Exploring Golang...
Pro Python System Administration
Pro Python System Administration

As time goes on, system administrators are presented with increasingly complicated challenges. In the early days, a team of engineers might have had to look after one or two systems. These days, one engineer can administer hundreds or thousands of systems.

System administrators are gradually replacing their tools with more advanced...

Learning Python Networking: A complete guide to build and deploy strong networking capabilities using Python 3.7 and Ansible , 2nd Edition
Learning Python Networking: A complete guide to build and deploy strong networking capabilities using Python 3.7 and Ansible , 2nd Edition

Achieve improved network programmability and automation by leveraging powerful network programming concepts, algorithms, and tools

Key Features

  • Deal with remote network servers using SSH, FTP, SNMP and LDAP protocols.
  • Design multi threaded and event-driven architectures...
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow

Key Features

  • Explore reinforcement learning concepts and their implementation using TensorFlow
  • Discover different problem-solving methods for reinforcement...
Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition (Electrical Engineering and Applied Signal Processing)
Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition (Electrical Engineering and Applied Signal Processing)
In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings.

Handbook of Multisensor Data...

PHP Beyond the Web
PHP Beyond the Web

Use your existing web-based PHP skills to write all types of software: CLI scripts, desktop software, network servers, and more. This book gives you the tools, techniques, and background necessary to write just about any type of software you can think of, using the PHP you know.

PHP Beyond the Web...

Camera Networks: The Acquisition and Analysis of Videos over Wide Areas (Synthesis Lectures on Computer Vision)
Camera Networks: The Acquisition and Analysis of Videos over Wide Areas (Synthesis Lectures on Computer Vision)
Camera networks is a highly interdisciplinary area of research that has been very active over the last few years. In this book, we focus specifically on the topic of video understanding in camera networks and touch upon the other related areas (e.g., communication resources, machine learning, cooperative control of multi-agent...
Python Essential Reference (3rd Edition) (Developer's Library)
Python Essential Reference (3rd Edition) (Developer's Library)

Python Essential Reference, Second Edition, is the definitive guide to the Python programming language. Designed for programmers, it covers the core language, more than 100 modules in the standard library, and the techniques used to extend Python with compiled procedures in C or C++. Coverage expands upon and clarifies existing Python...

Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras
Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras

Explore various Generative Adversarial Network architectures using the Python ecosystem

Key Features

  • Use different datasets to build advanced projects in the Generative Adversarial Network domain
  • Implement projects ranging from generating 3D shapes to a face aging...
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...
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

Learn advanced techniques to improve the performance and quality of your predictive models

Key Features

  • Use ensemble methods to improve the performance of predictive analytics models
  • Implement feature selection, dimensionality reduction, and cross-validation...
Designing and Developing Scalable IP Networks
Designing and Developing Scalable IP Networks
Today's aggressively competitive networking market requires offering the maximum range of services using prevailing assets, not building bigger, more complicated networks, but smarter, more scalable infrastructures. It isn't an easy thing to do.

The challenge is to develop an existing network so as to maximise its...

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