Spring 2.5 Aspect Oriented Programming. Create dynamic, feature-rich, and robust enterprise applications using the Spring framework

Massimiliano Dess?É?íÂ!¨, Brian Fitzpatrick, Massimiliano Dessi

Developing powerful web applications with clean, manageable code makes the maintenance process much easier. Aspect-Oriented Programming (AOP) is the easiest and quickest way to achieve such results. Spring is the only Java framework to offer AOP features. The combined power of Spring and AOP gives a powerful and flexible platform to develop and maintain feature-rich web applications quickly.This book will help you to write clean, manageable code for your Java applications quickly, utilizing the combined power of Spring and AOP. You will master the concepts of AOP by developing several real-life AOP-based applications with the Spring Framework, implementing the basic components of Spring AOP: Advice, Joinpoint, Pointcut, and Advisor.This book will teach you everything you need to know to use AOP with Spring. It starts by explaining the AOP features of Spring and then moves ahead with configuring Spring AOP and using its core classes, with lot of examples. It moves on to explain the AspectJ support in Spring. Then you will develop a three-layered example web application designed with Domain-Driven Design (DDD) and built with Test-Driven Development methodology using the full potential of AOP for security, concurrency, caching, and transactions.

Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java

Tom Hombergs

We would all like to build software architecture that yields adaptable and flexible software with low development costs. But, unreasonable deadlines and shortcuts make it very hard to create such an architecture.Get Your Hands Dirty on Clean Architecture starts with a discussion about the conventional layered architecture style and its disadvantages. It also talks about the advantages of the domain-centric architecture styles of Robert C. Martin's Clean Architecture and Alistair Cockburn's Hexagonal Architecture. Then, the book dives into hands-on chapters that show you how to manifest a hexagonal architecture in actual code. You'll learn in detail about different mapping strategies between the layers of a hexagonal architecture and see how to assemble the architecture elements into an application. The later chapters demonstrate how to enforce architecture boundaries. You'll also learn what shortcuts produce what types of technical debt and how, sometimes, it is a good idea to willingly take on those debts.After reading this book, you'll have all the knowledge you need to create applications using the hexagonal architecture style of web development.

Python for Secret Agents. Analyze, encrypt, and uncover intelligence data using Python, the essential tool for all aspiring secret agents

Steven F. Lott

Microsoft 365 Security, Compliance, and Identity Administration. Plan and implement security and compliance strategies for Microsoft 365 and hybrid environments

Peter Rising

The Microsoft 365 Security, Compliance, and Identity Administration is designed to help you manage, implement, and monitor security and compliance solutions for Microsoft 365 environments.With this book, you’ll first configure, administer identity and access within Microsoft 365. You’ll learn about hybrid identity, authentication methods, and conditional access policies with Microsoft Intune. Next, you’ll discover how RBAC and Azure AD Identity Protection can be used to detect risks and secure information in your organization. You’ll also explore concepts such as Microsoft Defender for endpoint and identity, along with threat intelligence. As you progress, you’ll uncover additional tools and techniques to configure and manage Microsoft 365, including Azure Information Protection, Data Loss Prevention (DLP), and Microsoft Defender for Cloud Apps.By the end of this book, you’ll be well-equipped to manage and implement security measures within your Microsoft 365 suite successfully.

Vagrant Virtual Development Environment Cookbook. 35 solutions to help you utilize virtualization with Vagrant more effectively – learn how to develop and manage Vagrant in the cloud to improve collaboration

Chad Thompson, Chad O Thompson

The Data Science Workshop. A New, Interactive Approach to Learning Data Science

Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, ...

You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results.Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book.Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.

Instant Windows PowerShell. Manage and automate your Windows Server Environment efficiently using PowerShell

Vinith Menon

Windows PowerShell comprises numerous major features that extend its use, advance its usability, and allow you to control and manage Windows-based environments.Windows PowerShell is backward-compatible. Cmdlets, providers, modules, snap-ins, scripts, functions, and profiles that were designed for Windows PowerShell 2.0 work in Windows PowerShell 3.0 without any changes.A practical, hands-on guide that provides you with a number of clear step-by-step exercises which will help you take advantage of the real power that is Windows PowerShell.Starting by listing the New Features in PowerShell 3.0, this book goes on to break down the mystery and confusion that surrounds which feature to use and when. It will take you through a number of clear, practical sections that will help you to take advantage of PowerShell, easily and quickly.You will also learn how to use PowerShell for file and folder management in a Windows Server Environment. The book will also also show you how to use PowerShell Web Access for secure Windows Management anywhere, any time, on any device.Learn how to secure and sign the scripts you write using the script signing feature in PowerShell, understand how to use PowerShell to secure and administer a PKI environment, and discover how to use a BPA module to analyze the security integrity of a system as per Microsoft requirements. If you want to take your first step into PowerShell 3.0 to manage your Windows environment, then this is the book for you.

Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples

Luiz Felipe Martins, Gavin Hackeling, Magnus Vilhelm Persson

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? Well, look no further, this is the book you want!Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You’ll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making.You’ll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you’ll move on to review statistical inference using Python, Pandas, and SciPy. After that, we’ll focus on performing regression using computational tools and you’ll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you’ll discover how to use Python’s tools for supervised machine learning.