Raspberry Pi Gaming. Design, create, and play all kinds of video games on your Raspberry Pi computer

Shea Silverman

Microsoft Dynamics NAV 2009: Professional Reporting. Discover all the tips and tricks for Dynamics NAV report building

Steven Renders, Steven Renders

Microsoft Dynamics NAV is widely used in enterprises with its enhanced reporting features, but there still isn’t a book that covers reporting in depth, until now. This book will show you what’s possible and exactly how to develop reports for Dynamics NAV 2009. Learn why reports are designed in a specific way and then apply this knowledge to your advantage. Microsoft Dynamics NAV 2009: Professional Reporting is an essential guide to understanding the effort involved in creating reports in Dynamics NAV 2009, and all of the available reporting possibilities. Reading this book will result in a better understanding and it will help you save time during development.The book starts with an overview of what kind of reports you can create without a developer using charts, dimensions, and analysis views. The next chapter will introduce the new architecture of Role Tailored Client (RTC) reports and the basics on how to create them or have them generated. Moving on we will discuss data visualization, where you will learn how and when to implement all the available Visual Studio controls. Document reports and other types of specific reports are covered next, and you will get to know all the best workarounds for getting them to work correctly.Knowing other related features is vitally important to obtain a helicopter view of all the reporting possibilities of Dynamics NAV, and the next chapter will introduce Business Intelligence concepts and available technologies that could be used in combination with the Dynamics NAV database. Technology is evolving rapidly and new versions of Dynamics NAV are in the pipeline, so the book will also provide you with a view to the future and how to prepare for it.

Raspberry Pi: Amazing Projects from Scratch. Click here to enter text

Ashwin Pajankar, Richard Grimmett, Matthew Poole, Arush Kakkar

Looking for inspiration for your next Raspberry Pi project? Not sure where to begin? This Learning Path is the perfect place to begin, providing you with an accessible yet comprehensive journey through Raspberry Pi. Following three modules, you’ll soon be confident and prepared to get creative with your microcomputer. Raspberry Pi by Example is the first module in this Learning Path – and it does exactly what it says. It doesn’t just teach, it shows you how to go and build some awesome Raspberry Pi projects immediately. Build and play your own games with the Pi, build a complete Internet of Things home automation system that controls your house through Twitter… let your imagination run wild!In the next module we’ll look in more depth at building a home security system. You’ll be using some of the skills you devoped through the first module, but apply them to something more intricate and impressive. Using a Linux based operating system as the foundations, you’ll gradually build up an entire security infrastructure adding cameras, remote controls, and even intrusion alerts!In the final module, we’ll take you into the world of Raspberry Pi robotics. By the end of it, you’ll have built a biped robot that can interact with its environment!This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Raspberry Pi By Example by Ashwin Pajankar and Arush Kakkar? Building a Home Security System with Raspberry Pi by Matthew Pole? Raspberry Pi Robotics Essentials by Richard Grimmett

Exploring Microsoft Excel's Hidden Treasures. Turbocharge your Excel proficiency with expert tips, automation techniques, and overlooked features

David Ringstrom

David Ringstrom coined the phrase “Either you work Excel, or it works you!” after observing how many users carry out tasks inefficiently.In this book, you’ll learn how to get more done with less effort. This book will enable you to create resilient spreadsheets that are easy for others to use as well, while incorporating spreadsheet disaster preparedness techniques. The time-saving techniques covered in the book include creating custom shortcuts and icons to streamline repetitive tasks, as well as automating them with features such as Tables and Custom Views. You’ll see how Conditional Formatting enables you to apply colors, Cell icons, and other formatting on-demand as your data changes. You’ll be empowered to protect the integrity of spreadsheets and increase usability by implementing internal controls, and understand how to solve problems with What-If Analysis features. In addition, you’ll master new features and functions such as XLOOKUP, Dynamic Array functions, LET and LAMBDA, and Power Query, while learning how to leverage shortcuts and nuances in Excel.By the end of this book, you’ll have a broader awareness of how to avoid pitfalls in Excel. You’ll be empowered to work more effectively in Excel, having gained a deeper understanding of the frustrating oddities that can arise daily in Excel.

NumPy Essentials. Click here to enter text

Jaidev Deshpande, Leo (Liang-Huan) Chin, Tanmay Dutta, Shane Holloway

In today’s world of science and technology, it’s all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need.This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features.

Improving your Penetration Testing Skills. Strengthen your defense against web attacks with Kali Linux and Metasploit

Gilberto Najera-Gutierrez, Juned Ahmed Ansari, Daniel Teixeira, Abhinav Singh

Penetration testing (or ethical hacking) is a legal and foolproof way to identify vulnerabilities in your system. With thorough penetration testing, you can secure your system against the majority of threats.This Learning Path starts with an in-depth explanation of what hacking and penetration testing are. You’ll gain a deep understanding of classical SQL and command injection flaws, and discover ways to exploit these flaws to secure your system. You'll also learn how to create and customize payloads to evade antivirus software and bypass an organization's defenses. Whether it’s exploiting server vulnerabilities and attacking client systems, or compromising mobile phones and installing backdoors, this Learning Path will guide you through all this and more to strengthen your defense against online attacks.By the end of this Learning Path, you'll have the knowledge and skills you need to invade a system and identify all its vulnerabilities.This Learning Path includes content from the following Packt books:• Web Penetration Testing with Kali Linux - Third Edition by Juned Ahmed Ansari and Gilberto Najera-Gutierrez• Metasploit Penetration Testing Cookbook - Third Edition by Abhinav Singh , Monika Agarwal, et al.

Learning Angular. A no-nonsense guide to building web applications with Angular 15 - Fourth Edition

Aristeidis Bampakos, Pablo Deeleman

As Angular continues to reign as one of the top JavaScript frameworks, more developers are seeking out the best way to get started with this extraordinarily flexible and secure framework. Learning Angular, now in its fourth edition, will show you how you can use it to achieve cross-platform high performance with the latest web techniques, extensive integration with modern web standards, and integrated development environments (IDEs).The book is especially useful for those new to Angular and will help you to get to grips with the bare bones of the framework to start developing Angular apps. You'll learn how to develop apps by harnessing the power of the Angular command-line interface (CLI), write unit tests, style your apps by following the Material Design guidelines, and finally, deploy them to a hosting provider.Updated for Angular 15, this new edition covers lots of new features and tutorials that address the current frontend web development challenges. You’ll find a new dedicated chapter on observables and RxJS, more on error handling and debugging in Angular, and new real-life examples.By the end of this book, you’ll not only be able to create Angular applications with TypeScript from scratch, but also enhance your coding skills with best practices.

Responsible AI in the Enterprise. Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI

Adnan Masood, Heather Dawe, Ed Price, Dr. Ehsan Adeli

Responsible AI in the Enterprise is a comprehensive guide to implementing ethical, transparent, and compliant AI systems in an organization. With a focus on understanding key concepts of machine learning models, this book equips you with techniques and algorithms to tackle complex issues such as bias, fairness, and model governance. Throughout the book, you’ll gain an understanding of FairLearn and InterpretML, along with Google What-If Tool, ML Fairness Gym, IBM AI 360 Fairness tool, and Aequitas. You’ll uncover various aspects of responsible AI, including model interpretability, monitoring and management of model drift, and compliance recommendations. You’ll gain practical insights into using AI governance tools to ensure fairness, bias mitigation, explainability, privacy compliance, and privacy in an enterprise setting. Additionally, you’ll explore interpretability toolkits and fairness measures offered by major cloud AI providers like IBM, Amazon, Google, and Microsoft, while discovering how to use FairLearn for fairness assessment and bias mitigation. You’ll also learn to build explainable models using global and local feature summary, local surrogate model, Shapley values, anchors, and counterfactual explanations.By the end of this book, you’ll be well-equipped with tools and techniques to create transparent and accountable machine learning models.