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Docker Cookbook: Over 100 practical and insightful recipes to build distributed applications with Docker , 2nd Edition
Docker Cookbook: Over 100 practical and insightful recipes to build distributed applications with Docker , 2nd Edition

Leverage Docker to deploying software at scale

Key Features

  • Leverage practical examples to manage containers efficiently
  • Integrate with orchestration tools such as Kubernetes for controlled deployments
  • Learn to implement best practices on improving...
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as...
Practical Microservices Architectural Patterns: Event-Based Java Microservices with Spring Boot and Spring Cloud
Practical Microservices Architectural Patterns: Event-Based Java Microservices with Spring Boot and Spring Cloud
Take your distributed applications to the next level and see what the reference architectures associated with microservices can do for you. This book begins by showing you the distributed computing architecture landscape and provides an in-depth view of microservices architecture. Following this, you will work with CQRS, an essential...
PyTorch Recipes: A Problem-Solution Approach
PyTorch Recipes: A Problem-Solution Approach
Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look...
Learning JavaScript Data Structures and Algorithms: Write complex and powerful JavaScript code using the latest ECMAScript, 3rd Edition
Learning JavaScript Data Structures and Algorithms: Write complex and powerful JavaScript code using the latest ECMAScript, 3rd Edition

Create classic data structures and algorithms such as depth-first search and breadth-first search, learn recursion, as well as create and use a heap data structure using JavaScript

Key Features

  • Implement common data structures and the associated algorithms along with the context in which...
Hands-On Blockchain with Hyperledger: Building decentralized applications with Hyperledger Fabric and Composer
Hands-On Blockchain with Hyperledger: Building decentralized applications with Hyperledger Fabric and Composer

Leverage the power of Hyperledger Fabric to develop Blockchain-based distributed ledgers with ease

Key Features

  • Write your own chaincode/smart contracts using Golang on hyperledger network
  • Build and deploy decentralized applications (DApps)
  • Dive into real...
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

Scalability Patterns: Best Practices for Designing High Volume Websites
Scalability Patterns: Best Practices for Designing High Volume Websites

In this book, the CEO of Cazton, Inc. and internationally-acclaimed speaker, Chander Dhall, demonstrates current website design scalability patterns and takes a pragmatic approach to explaining their pros and cons to show you how to select the appropriate pattern for your site. He then tests the patterns by deliberately...

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
Beginning Ethical Hacking with Kali Linux: Computational Techniques for Resolving Security Issues
Beginning Ethical Hacking with Kali Linux: Computational Techniques for Resolving Security Issues

Get started in white-hat ethical hacking using Kali Linux. This book starts off by giving you an overview of security trends, where you will learn the OSI security architecture. This will form the foundation for the rest of Beginning Ethical Hacking with Kali Linux. With the theory out of the way, you’ll...

Applied Network Security
Applied Network Security

Master the art of detecting and averting advanced network security attacks and techniques

About This Book

  • Deep dive into the advanced network security attacks and techniques by leveraging tools such as Kali Linux 2, MetaSploit, Nmap, and Wireshark
  • Become an expert in cracking WiFi...
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