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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...
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
DevOps with Kubernetes: Accelerating software delivery with container orchestrators
DevOps with Kubernetes: Accelerating software delivery with container orchestrators

Learn to implement DevOps using Docker & Kubernetes.

About This Book

  • Learning DevOps, container, and Kubernetes within one book.
  • Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently.
  • A practical guide towards container management and...
Mastering Kubernetes: Large scale container deployment and management
Mastering Kubernetes: Large scale container deployment and management

Master the art of container management utilizing the power of Kubernetes.

About This Book

  • This practical guide demystifies Kubernetes and ensures that your clusters are always available, scalable, and up to date
  • Discover new features such as autoscaling, rolling updates, resource quotas,...
Introducing Azure Kubernetes Service: A Practical Guide to Container Orchestration
Introducing Azure Kubernetes Service: A Practical Guide to Container Orchestration
This book is a practical guide to Microsoft’s Azure Kubernetes Service (AKS), a container orchestration platform. The goal of this book is to take the reader from 0 to 100 deploying and running a Kubernetes cluster on Microsoft Azure cloud. For anyone embarking on this book, it is ideal to have experience in the...
Spark for Python Developers
Spark for Python Developers

Key Features

  • Set up real-time streaming and batch data intensive infrastructure using Spark and Python
  • Deliver insightful visualizations in a web app using Spark (PySpark)
  • Inject live data using Spark Streaming with real-time events

Book Description

Looking...

Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Build a strong foundation of machine learning algorithms in 7 days

Key Features

  • Use Python and its wide array of machine learning libraries to build predictive models
  • Learn the basics of the 7 most widely used machine learning algorithms within a week
  • Know...
Getting Started with Kubernetes - Second Edition
Getting Started with Kubernetes - Second Edition

Learn how to schedule and run application containers using Kubernetes.

About This Book

  • Get well-versed with the fundamentals of Kubernetes and get it production-ready for deployments
  • Confidently manage your container clusters and networks using Kubernetes
  • This practical...
Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition
Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition

Gain useful insights from your data using popular data science tools

Key Features

  • A one-stop guide to Python libraries such as pandas and NumPy
  • Comprehensive coverage of data science operations such as data cleaning and data manipulation
  • Choose scalable...
Kubernetes Microservices with Docker
Kubernetes Microservices with Docker

Start using Kubernetes in complex big data and enterprise applications, including Docker containers. Starting with installing Kubernetes on a single node, the book introduces Kubernetes with a simple Hello example and discusses using environment variables in Kubernetes. 
 

Next, Kubernetes Microservices with...
Apache Spark 2.x Cookbook: Cloud-ready recipes for analytics and data science
Apache Spark 2.x Cookbook: Cloud-ready recipes for analytics and data science

Key Features

  • This book contains recipes on how to use Apache Spark as a unified compute engine
  • Cover how to connect various source systems to Apache Spark
  • Covers various parts of machine learning including supervised/unsupervised learning & recommendation engines

Book...

Docker Bootcamp
Docker Bootcamp

Fast, intensive, and effective Docker learning

About This Book

  • Get well-versed with Docker in 7 days
  • Identify and resolve common problems faced by users while working with Docker
  • A fast-paced guide that will focus on all the core Docker functionalities

...

unlimited object storage image
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