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Beginning Serverless Computing: Developing with Amazon Web Services, Microsoft Azure, and Google Cloud
Beginning Serverless Computing: Developing with Amazon Web Services, Microsoft Azure, and Google Cloud
Learn the basics of serverless computing and how to develop event-driven architectures with the three major cloud platforms: Amazon Web Services, Microsoft Azure, and Google Cloud. This hands-on guide dives into the foundations of serverless computing, its use cases, and how to apply it using developer tools such as Node.js, Visual...
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python

Build optimized applications in Python by smartly implementing the standard library

Key Features

  • Strategic recipes for effective application development in Python
  • Techniques to create GUIs and implement security through cryptography
  • Best practices for...
Hands-On RESTful API Design Patterns and Best Practices: Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs
Hands-On RESTful API Design Patterns and Best Practices: Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs

Build effective RESTful APIs for enterprise with design patterns and REST framework's out-of-the-box capabilities

Key Features

  • Understand advanced topics such as API gateways, API securities, and cloud
  • Implement patterns programmatically with easy-to-follow...
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples

Key Features

  • Designed to iteratively develop the skills of Python users who don't have a data science background
  • Covers the key foundational concepts...
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
Expert Python Programming: Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7, 3rd Edition
Expert Python Programming: Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7, 3rd Edition

Refine your Python programming skills and build professional grade applications with this comprehensive guide

Key Features

  • Create manageable code that can run in various environments with different sets of dependencies
  • Implement effective Python data structures and...
Getting Started with Containerization: Reduce the operational burden on your system by automating and managing your containers
Getting Started with Containerization: Reduce the operational burden on your system by automating and managing your containers

Choose the smarter way to learn about containerizing your applications and running them in production.

Key Features

  • Deploy and manage highly scalable, containerized applications with Kubernetes
  • Build high-availability Kubernetes clusters
  • Secure your...
Docker on Windows: From 101 to production with Docker on Windows, 2nd Edition
Docker on Windows: From 101 to production with Docker on Windows, 2nd Edition

Learn how to run new and old applications in Docker containers on Windows - modernizing the architecture, improving security and maximizing efficiency.

Key Features

  • Run .NET Framework and .NET Core apps in Docker containers for efficiency, security and portability
  • Design...
Beginning DevOps with Docker: Automate the deployment of your environment with the power of the Docker toolchain
Beginning DevOps with Docker: Automate the deployment of your environment with the power of the Docker toolchain
It can be tough to roll out a pre-configured environment if you don't know what you're doing. We'll show you how to streamline your service options with Docker, so that you can scale in an agile and responsive manner.
Key Features
  • Learn how to structure your own Docker containers
  • ...
Angular 6 for Enterprise-Ready Web Applications: Deliver production-ready and cloud-scale Angular web apps
Angular 6 for Enterprise-Ready Web Applications: Deliver production-ready and cloud-scale Angular web apps

A hands-on guide with a minimalist and flexible approach that enables quick learning and rapid delivery of cloud-ready enterprise applications with Angular 6

Key Features

  • Explore tools and techniques to push your web app to the next level
  • Master Angular app design and...
Hands-On Kubernetes on Azure: Run your applications securely and at scale on the most widely adopted orchestration platform
Hands-On Kubernetes on Azure: Run your applications securely and at scale on the most widely adopted orchestration platform

Efficiently deploy and manage Kubernetes clusters on a cloud

Key Features

  • Deploy highly scalable applications with Kubernetes on Azure
  • Leverage AKS to deploy, manage, and operations of Kubernetes
  • Gain best practices from this guide to increase efficiency...
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Key Features

  • Exploit the features of Tensorflow to build and deploy machine learning models
  • Train neural networks to tackle real-world problems in Computer Vision and...
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