CISA - Certified Information Systems Auditor Study Guide. Achieve CISA certification with practical examples and over 850 exam-oriented practice questions - Second Edition

Hemang Doshi

With the latest updates and revised study material, this second edition of the Certified Information Systems Auditor Study Guide provides an excellent starting point for your CISA certification preparation. The book strengthens your grip on the core concepts through a three-step approach. First, it presents the fundamentals with easy-to-understand theoretical explanations. Next, it provides a list of key aspects that are crucial from the CISA exam perspective, ensuring you focus on important pointers for the exam. Finally, the book makes you an expert in specific topics by engaging you with self-assessment questions designed to align with the exam format, challenging you to apply your knowledge and sharpen your understanding.Moreover, the book comes with lifetime access to supplementary resources on an online platform, including CISA flashcards, practice questions, and valuable exam tips. With unlimited access to the website, you’ll have the flexibility to practice as many times as you desire, maximizing your exam readiness.By the end of this book, you’ll have developed the proficiency to successfully obtain the CISA certification and significantly upgrade your auditing career.

TIBCO Spotfire - A Comprehensive Primer. Create innovative enterprise-class informatics solutions using TIBCO Spotfire

Michael Phillips

Python Data Visualization Cookbook. As a developer with knowledge of Python you are already in a great position to start using data visualization. This superb cookbook shows you how in plain language and practical recipes, culminating with 3D animations

Igor Milovanovic

Today, data visualization is a hot topic as a direct result of the vast amount of data created every second. Transforming that data into information is a complex task for data visualization professionals, who, at the same time, try to understand the data and objectively transfer that understanding to others. This book is a set of practical recipes that strive to help the reader get a firm grasp of the area of data visualization using Python and its popular visualization and data libraries.Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts.Python Data Visualization Cookbook starts by showing you how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. During the book, we go from simple plots and charts to more advanced ones, thoroughly explaining why we used them and how not to use them. As we go through the book, we will also discuss 3D diagrams. We will peep into animations just to show you what it takes to go into that area. Maps are irreplaceable for displaying geo-spatial data, so we also show you how to build them. In the last chapter, we show you how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.This book will help those who already know how to program in Python to explore a new field – one of data visualization. As this book is all about recipes that explain how to do something, code samples are abundant, and they are followed by visual diagrams and charts to help you understand the logic and compare your own results with what is explained in the book.

Unity 2022 by Example. A project-based guide to building 2D and 3D games, enhanced for AR, VR, and MR experiences

Scott H. Cameron, Edward Falzon

Unity 2022 by Example is a complete introduction to building games in Unity following a project-based approach. You’ll be introduced to the Unity game engine and the tools available for building and customizing a game exactly the way you want it, while maintaining a good code foundation to build upon.Once you get to grips with the fundamentals of Unity game development, you'll start creating a 2D collection game and an adventure game, followed by a 3D first person shooter game. Next, you’ll explore advanced topics, such as using machine learning to create AI-based enemy behavior, virtual reality for extending the first-person game, and augmented reality for developing a farming simulation game in a real-world setting. The book will help you gain hands-on knowledge of these topics as you build projects using the latest game tool kits. You'll also learn how to commercialize your game by publishing it to a distribution platform and maintain and support it throughout its lifespan. As you progress, you’ll gain real-world knowledge and experience by taking your games from conceptual design to completion.By the end of this Unity book, you’ll have strong foundational knowledge of how to structure a Unity project that is both maintainable and extensible for commercially released games.

Magento Search Engine Optimization. You’ve built a great online store and all you need now are customers. This is where this invaluable tutorial comes in. Specifically written for Magento users, it uncovers the deep secrets of successful Search Engine Optimization

Robert Kent

Java Coding Problems. Become an expert Java programmer by solving over 250 brand-new, modern, real-world problems - Second Edition

Anghel Leonard

The super-fast evolution of the JDK between versions 12 and 21 has made the learning curve of modern Java steeper, and increased the time needed to learn it. This book will make your learning journey quicker and increase your willingness to try Java’s new features by explaining the correct practices and decisions related to complexity, performance, readability, and more.Java Coding Problems takes you through Java’s latest features but doesn’t always advocate the use of new solutions — instead, it focuses on revealing the trade-offs involved in deciding what the best solution is for a certain problem.There are more than two hundred brand new and carefully selected problems in this second edition, chosen to highlight and cover the core everyday challenges of a Java programmer.Apart from providing a comprehensive compendium of problem solutions based on real-world examples, this book will also give you the confidence to answer questions relating to matching particular streams and methods to various problems.By the end of this book you will have gained a strong understanding of Java’s new features and have the confidence to develop and choose the right solutions to your problems.

OpenVZ Essentials. Create and administer virtualized containers on your server using the robust OpenVZ

Mark Furman

Caffe2 Quick Start Guide. Modular and scalable deep learning made easy

Ashwin Nanjappa

Caffe2 is a popular deep learning library used for fast and scalable training, and inference of deep learning models on different platforms. This book introduces you to the Caffe2 framework and demonstrates how you can leverage its power to build, train, and deploy efficient neural network models at scale.The Caffe 2 Quick Start Guide will help you in installing Caffe2, composing networks using its operators, training models, and deploying models to different architectures. The book will also guide you on how to import models from Caffe and other frameworks using the ONNX interchange format. You will then cover deep learning accelerators such as CPU and GPU and learn how to deploy Caffe2 models for inference on accelerators using inference engines. Finally, you'll understand how to deploy Caffe2 to a diverse set of hardware, using containers on the cloud and resource-constrained hardware such as Raspberry Pi.By the end of this book, you will not only be able to compose and train popular neural network models with Caffe2, but also deploy them on accelerators, to the cloud and on resource-constrained platforms such as mobile and embedded hardware.