Amazon SageMaker Best Practices. Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker

Sireesha Muppala, Randy DeFauw, Shelbee Eigenbrode

Amazon SageMaker is a fully managed AWS service that provides the ability to build, train, deploy, and monitor machine learning models. The book begins with a high-level overview of Amazon SageMaker capabilities that map to the various phases of the machine learning process to help set the right foundation. You'll learn efficient tactics to address data science challenges such as processing data at scale, data preparation, connecting to big data pipelines, identifying data bias, running A/B tests, and model explainability using Amazon SageMaker. As you advance, you'll understand how you can tackle the challenge of training at scale, including how to use large data sets while saving costs, monitoring training resources to identify bottlenecks, speeding up long training jobs, and tracking multiple models trained for a common goal. Moving ahead, you'll find out how you can integrate Amazon SageMaker with other AWS to build reliable, cost-optimized, and automated machine learning applications. In addition to this, you'll build ML pipelines integrated with MLOps principles and apply best practices to build secure and performant solutions.By the end of the book, you'll confidently be able to apply Amazon SageMaker's wide range of capabilities to the full spectrum of machine learning workflows.

Arduino Essentials. Enter the world of Arduino and its peripherals and start creating interesting projects

Thomas P.McDunn, Francisco J Perea Reyes, Francis Perea

DevSecOps for Azure. End-to-end supply chain security for GitHub, Azure DevOps, and the Azure cloud

David Okeyode, Joylynn Kirui, Scott Hanselman

Businesses must prioritize security, especially when working in the constantly evolving Azure cloud. However, many organizations struggle to maintain security and compliance. Attackers are increasingly targeting software development processes, making software supply chain security crucial. This includes source control systems, build systems, CI/CD platforms, and various artifacts. With the help of this book, you’ll be able to enhance security and compliance in Azure software development processes.Starting with an overview of DevOps and its relationship with Agile methodologies and cloud computing, you'll gain a solid foundation in DevSecOps principles. The book then delves into the security challenges specific to DevOps workflows and how to address them effectively. You'll learn how to implement security measures in the planning phase, including threat modeling and secure coding practices. You'll also explore pre-commit security controls, source control security, and the integration of various security tools in the build and test phases. The book covers crucial aspects of securing the release and deploy phases, focusing on artifact integrity, infrastructure as code security, and runtime protection.By the end of this book, you’ll have the knowledge and skills to implement a secure code-to-cloud process for the Azure cloud.

Geospatial Development By Example with Python. Build your first interactive map and build location-aware applications using cutting-edge examples in Python

Pablo Carreira

From Python programming good practices to the advanced use of analysis packages, this book teaches you how to write applications that will perform complex geoprocessing tasks that can be replicated and reused.Much more than simple scripts, you will write functions to import data, create Python classes that represent your features, and learn how to combine and filter them. With pluggable mechanisms, you will learn how to visualize data and the results of analysis in beautiful maps that can be batch-generated and embedded into documents or web pages. Finally, you will learn how to consume and process an enormous amount of data very efficiently by using advanced tools and modern computers’ parallel processing capabilities.

Learning Puppet. Build intelligent software stacks with the Puppet configuration management suite

Jussi Heinonen, Jussi Heinonen

The Scrum Master Guide. A practical guide to successfully practicing Scrum and achieving Scrum Master certifications - Second Edition

Fred Heath

Curious why so many organizations rely on Scrum and what makes Agile so effective? Learn from seasoned software engineer and Scrum expert Fred Heath, everything you need to become a certified Scrum Master. With over two decades of experience across the software development lifecycle, Fred brings invaluable insights from his extensive work in Scrum, both as a Scrum Master and developer. In this updated guide, he not only takes you from Scrum basics to mastery but also offers practical, real-world knowledge to help you become an effective Scrum Master.The first part of the book introduces the Scrum fundamentals and prepares you for Level I certification, covering the importance of Scrum team structure, the benefits of well-planned sprints, and how to create and manage sprint and product backlogs.The second part elevates your skills to the Level II certification standard, exploring advanced topics such as Scrum anti-patterns, scaling Scrum, and how to support developers and product owners. Each chapter concludes with quizzes to reinforce the concepts you've learned. The book wraps up with exam preparation tips and myth-busting strategies to give you a competitive edge in passing your Scrum Master exams.By the end of this book, you'll be proficient as a Scrum Master ensuring you won’t fall behind in an ever-increasingly agile world.

Rake Task Management Essentials. Deploy, test, and build software to solve real-world automation challenges using Rake

Andrey Koleshko

Test-Driven Java Development. Invoke TDD principles for end-to-end application development with Java

Viktor Farcic, Alex Garcia