Raspberry Pi Mechatronics Projects HOTSHOT. Enter the world of mechatronic systems with the Raspberry Pi to design and build 12 amazing projects

Narasimha S Yamanoor, Srihari Yamanoor, Sai Yamanoor

Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Ben Auffarth

The Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries and new models. This book aims to deepen your understanding of time series by providing a comprehensive overview of popular Python time-series packages and help you build better predictive systems.Machine Learning for Time-Series with Python starts by re-introducing the basics of time series and then builds your understanding of traditional autoregressive models as well as modern non-parametric models. By observing practical examples and the theory behind them, you will become confident with loading time-series datasets from any source, deep learning models like recurrent neural networks and causal convolutional network models, and gradient boosting with feature engineering.This book will also guide you in matching the right model to the right problem by explaining the theory behind several useful models. You’ll also have a look at real-world case studies covering weather, traffic, biking, and stock market data.By the end of this book, you should feel at home with effectively analyzing and applying machine learning methods to time-series.

BeagleBone Robotic Projects. Developer or hobbyist, you'll love the way this book helps you turn the BeagleBone Black into a working robot. From listening and speaking to seeing and moving, we'll show you how – step by step

Richard Grimmett

Thanks to new, inexpensive microcontrollers, robotics has become far more accessible than it was in the past. These microcontrollers provide a whole new set of capabilities to allow even the most inexperienced users to make amazingly complicated projects. Beaglebone is effectively a small, light, cheap computer in a similar vein to Raspberry Pi and Arduino. It has all of the extensibility of today's desktop machines, but without the bulk, expense, or noise. This project guide provides step-by-step instructions to allow anyone to use this new, low cost platform in some fascinating robotics projects. By the time you are finished, your projects will be able to see, speak, listen, detect their surroundings, and move in a variety of amazing ways. The book begins with unpacking and powering up the components.This will include guidance on what to purchase and how to connect it all successfully–and a primer on programming the BeagleBone Black. Chapter by chapter, we will add additional software functionality available from the open source community, including how to make the system see using a webcam, how to hear using a microphone, and how to speak using a speaker. We then add hardware to make your robots move–including wheeled and legged examples–as well as covering how to add sonar sensors to avoid or find objects, plus wireless control to make your robot truly autonomous. Adding GPS allows the robot to find itself. Finally the book covers how to integrate all of this functionality so that it can all work together, before developing the most impressive robotics projects: those that can sail, fly, and explore underwater.

Mastering Microsoft 365 Defender. Implement Microsoft Defender for Endpoint, Identity, Cloud Apps, and Office 365 and respond to threats

Ru Campbell, Viktor Hedberg, Heike Ritter

This book will help you get up and running with Microsoft 365 Defender and help you use the whole suite effectively.You’ll start with a quick overview of cybersecurity risks that modern organizations face, such as ransomware and APT attacks, how Microsoft is making massive investments in security today, and gain an understanding of how to deploy Microsoft Defender for Endpoint by diving deep into configurations and their architecture.As you progress, you’ll learn how to configure Microsoft Defender Antivirus, and onboard and manage macOS, Android, and Linux MDE devices for effective solutions. You’ll also learn how to deploy Microsoft Defender for Identity and explore its different deployment methods that can protect your hybrid identity platform, as well as how to configure Microsoft Defender for Office 365 and Cloud Apps, and manage KQL queries for advanced hunting with ease. Toward the end, you’ll find out how M365D can be integrated with Sentinel and how to use APIs for incident response.By the end of this book, you will have a deep understanding of Microsoft 365 Defender, and how to protect and respond to security threats.

DevOps: Puppet, Docker, and Kubernetes. Practical recipes to make the most of DevOps with powerful tools

Neependra Khare, Ke-Jou Carol Hsu, Hideto Saito, John Arundel, ...

With so many IT management and DevOps tools on the market, both open source and commercial, it’s difficult to know where to start. DevOps is incredibly powerful when implemented correctly, and here’s how to get it done.This Learning Path covers three broad areas: Puppet, Docker, and Kubernetes. This Learning Path is a large resource of recipes to ease your daily DevOps tasks. We begin with recipes that help you develop a complete and expert understanding of Puppet’s latest and most advanced features. Then we provide recipes that help you efficiently work with the Docker environment. Finally, we show you how to better manage containers in different scenarios in production using Kubernetes.This course is based on these books:1. Puppet Cookbook, Third Edition 2. Docker Cookbook 3. Kubernetes Cookbook

Enterprise Architecture with .NET. Expert-backed advice for information system design, down to .NET and C# implementation

Jean-Philippe Gouigoux, Dalila Tamzalit

The software development domain continues to grow exponentially, and information systems have become the backbone of most industries, including non-digital-native ones. However, technical debt, coupling, and a high level of maintenance - sometimes bringing IT systems to a complete halt – continue to present a problem. The software industry has to still apply standards-based, modular, and repeatable approaches that exist in other industries.This book demonstrates such methods in action, particularly business/IT alignment principles. As you progress, you’ll cover advanced concepts and theories currently researched in academia. Then, you’ll be guided toward a practical framework to transfer these approaches to actual software architecture. Finally, a dedicated section will help you apply the knowledge you gain to a sample application in .NET where API design, dependency management, and code writing will be explained in detail to relate to the business-alignment principles explained at the beginning. Throughout the book, you’ll get equipped with the skills to create modular, long-living applications that serve your users better.By the end of this .NET book, you’ll not only have learned new concepts but also gained the ability to apply them immediately to your upcoming software endeavors.

Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud

Scott Bateman, Janahan Gnanachandran, Jeff DeMuth

Managing geospatial data and building location-based applications in the cloud can be a daunting task. This comprehensive guide helps you overcome this challenge by presenting the concept of working with geospatial data in the cloud in an easy-to-understand way, along with teaching you how to design and build data lake architecture in AWS for geospatial data.You’ll begin by exploring the use of AWS databases like Redshift and Aurora PostgreSQL for storing and analyzing geospatial data. Next, you’ll leverage services such as DynamoDB and Athena, which offer powerful built-in geospatial functions for indexing and querying geospatial data. The book is filled with practical examples to illustrate the benefits of managing geospatial data in the cloud. As you advance, you’ll discover how to analyze and visualize data using Python and R, and utilize QuickSight to share derived insights. The concluding chapters explore the integration of commonly used platforms like Open Data on AWS, OpenStreetMap, and ArcGIS with AWS to enable you to optimize efficiency and provide a supportive community for continuous learning.By the end of this book, you’ll have the necessary tools and expertise to build and manage your own geospatial data lake on AWS, along with the knowledge needed to tackle geospatial data management challenges and make the most of AWS services.

jBPM6 Developer Guide. Learn about the components, tooling, and integration points that are part of the JBoss Business Process Management (BPM) framework

Mariano De Maio, Esteban Aliverti, Mauricio Salatino