Learning Python for Forensics. Learn the art of designing, developing, and deploying innovative forensic solutions through Python

Preston Miller, Chapin Bryce

This book will illustrate how and why you should learn Python to strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. The tutorials use an interactive design, giving you experience of the development process so you gain a better understanding of what it means to be a forensic developer.Each chapter walks you through a forensic artifact and one or more methods to analyze the evidence. It also provides reasons why one method may be advantageous over another. We cover common digital forensics and incident response scenarios, with scripts that can be used to tackle case work in the field. Using built-in and community-sourced libraries, you will improve your problem solving skills with the addition of the Python scripting language. In addition, we provide resources for further exploration of each script so you can understand what further purposes Python can serve. With this knowledge, you can rapidly develop and deploy solutions to identify critical information and fine-tune your skill set as an examiner.

Learn Python Programming. A comprehensive, up-to-date, and definitive guide to learning Python - Fourth Edition

Fabrizio Romano, Heinrich Kruger

Learn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been meticulously updated to include the latest features from Python versions 3.9 to 3.12, new chapters on type hinting and CLI applications, and updated examples reflecting modern Python web development practices. This Python book empowers you to take ownership of writing your software and become independent in fetching the resources you need. By the end of this book, you will have a clear idea of where to go and how to build on what you have learned from the book.Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. This Python book offers a clear and practical guide to mastering Python and applying it effectively in various domains, such as data science, web development, and automation.

Moodle 1.9 Extension Development. By writing Moodle plugins, you can make this open source learning platform fit your needs precisely, and this book shows you how with a step-by-step approach that takes you from the basics to advanced techniques

Michael Churchward, Jonathan Moore

Moodle gives you the power to create and customize feature-rich plug-ins. If you can write Moodle plug-ins, you can make it do just about anything. From making the site easier to administer, to new features, to completely changing the way it looks; plug-ins are the method Moodle offers to customize and extend its functionality. This book will show you how to build all sorts of Moodle plug-ins: admin plug-ins, Blocks, Activities, Grading components, Reports, Fliters that change the way your site works and looks. You will develop standard Moodle plug-ins such as Activities, Filters, and Blocks by creating functioning code that you can execute in your own Moodle installation. Writing modular plug-ins for Moodle will be a large focus of this book.This book will take you inside Moodle and provide you with the ability to develop code the “Moodle way”.This book will expose you to all of the core code functions in Moodle, in a progressive, understandable way. You will learn what libraries are available, what the API calls are, how it is structured and how it can be expanded beyond the plug-in system.You will begin by getting an understanding of the basic architecture that Moodle uses to operate in. Next you will build your first plug-in; a block. You will carry on building other Moodle plug-ins, gaining knowledge of the “Moodle way” of coding, before plunging deeper into the API and inner libraries. Lastly, you will learn how to integrate Moodle with other systems using a variety of methods.When you have completed, you will have a solid understanding of Moodle programming and knowledge of how to extend its functionality in whatever way you want.

Artificial Intelligence Engines. A Tutorial Introduction to the Mathematics of Deep Learning

James V Stone

This book is a comprehensive guide to the mathematics behind artificial intelligence engines, taking readers from foundational concepts to advanced applications. It begins with an introduction to artificial neural networks, exploring topics like perceptrons, linear associative networks, and gradient descent. Practical examples accompany each chapter, making complex mathematical principles accessible, even for those with limited prior knowledge.The book's detailed structure covers key algorithms like backpropagation, Hopfield networks, and Boltzmann machines, advancing to deep restricted Boltzmann machines, variational autoencoders, and convolutional neural networks. Modern topics such as generative adversarial networks, reinforcement learning, and capsule networks are explored in depth. Each section connects theory to real-world AI applications, helping readers understand how these techniques are used in practice.Ideal for students, researchers, and AI enthusiasts, the book balances theoretical depth with practical insights. Basic mathematical knowledge or foundation is recommended, allowing readers to fully engage with the content. This book serves as an accessible yet thorough resource for anyone eager to dive deeper into artificial intelligence and machine learning.

Bootstrap 4 Site Blueprints. Design mobile-first responsive websites with Bootstrap 4 - Second Edition

Bass Jobsen, Ian Whitney, David Cochran

Packed with trade secrets, this second edition is your one-stop solution to creating websites that will provide the best experience for your users. We cover six popular, real-world examples, where each project teaches you about the various functionalities of Bootstrap 4 and their implementation.The book starts off by getting you up and running with the new features of Bootstrap 4 before gradually moving on to customizing your blog with Bootstrap and SASS, building a portfolio site, and turning it into a WordPress theme. In the process, you will learn to recompile Bootstrap files using SASS, design a user interface, and integrate JavaScript plugins. Towards the end of the book, you will also be introduced to integrating Bootstrap 4 with popular application frameworks such as Angular 2, Ruby on Rails, and React.

WordPress 2.8 Themes Cookbook. Over 100 simple but incredibly effective recipes for creating powerful, custom WordPress themes

Nick Ohrn, Lee Jordan

Themes are among the most powerful features that can be used to customize a web site and give it a professional look, especially in WordPress. Using custom themes you can brand your site for a particular corporate image, ensure standards compliance, and create easily navigable layouts. But most WordPress users still continue to use default themes as developing and deploying themes that are flexible and easily maintainable is not always straightforward and lot of issues pop up during the process.This easy-to-use step-by-step guide will help you create powerful themes for your WordPress web site, and solve your theme development problems in a quick and effective way. It enables you to take full control over your site's design and branding and make it look smarter.WordPress is distributed with two ready-to-use themes. You can use these themes to give a common look to your website, or use the techniques described in this book to create custom themes. This book includes over 100 useful recipes to help you get started and create advanced themes. It starts with the basics of WordPress themes and creating a theme from scratch. Then, it covers how to enhance your template and add effects to get a rich look. You will learn how to manage pages, categories, and tags for your blogs, and how to make your posts look unique. You will also learn about the comment system and sidebars that will help you give a new feel to your blog and web site.This book will help you through the most common problems encountered when developing a WordPress theme. You will get tips to enhance your design skill and eventually enhance your blog's design.

Packet Analysis with Wireshark. Leverage the power of Wireshark to troubleshoot your networking issues by using effective packet analysis techniques and performing improved protocol analysis

ANISH NATH

Blockchain for Decision Makers. A systematic guide to using blockchain for improving your business

Romain Tormen

In addition to cryptocurrencies, blockchain-based apps are being developed in different industries such as banking, supply chain, and healthcare to achieve digital transformation and enhance user experience. Blockchain is not only about Bitcoin or cryptocurrencies, but also about different technologies such as peer-to-peer networks, consensus mechanisms, and cryptography. These technologies together help sustain trustless environments in which digital value can be transferred between individuals without intermediaries.This book will help you understand the basics of blockchain such as consensus protocols, decentralized applications, and tokenization. You'll focus on how blockchain is used today in different industries and the technological challenges faced while implementing a blockchain strategy. The book also enables you, as a decision maker, to understand blockchain from a technical perspective and evaluate its applicability in your business. Finally, you'll get to grips with blockchain frameworks such as Hyperledger and Quorum and their usability.By the end of this book, you'll have learned about the current use cases of blockchain and be able to implement a blockchain strategy on your own.

Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes

Faisal Masood, Ross Brigoli

MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization.You'll begin by understanding the different components of a machine learning project. Then, you'll design and build a practical end-to-end machine learning project using open source software. As you progress, you'll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get hands-on experience in Kubernetes and open source tools, such as JupyterHub, MLflow, and Airflow.By the end of this book, you'll have learned how to effectively build, train, and deploy a machine learning model using the machine learning platform you built.

Google Plus First Look: a tip-packed, comprehensive look at Google+. Get up and running with Google+ fast with this book and

Ralph Roberts

Creative DIY Microcontroller Projects with TinyGo and WebAssembly. A practical guide to building embedded applications for low-powered devices, IoT, and home automation

Tobias Theel

While often considered a fast and compact programming language, Go usually creates large executables that are difficult to run on low-memory or low-powered devices such as microcontrollers or IoT. TinyGo is a new compiler that allows developers to compile their programs for such low-powered devices. As TinyGo supports all the standard features of the Go programming language, you won't have to tweak the code to fit on the microcontroller.This book is a hands-on guide packed full of interesting DIY projects that will show you how to build embedded applications. You will learn how to program sensors and work with microcontrollers such as Arduino UNO and Arduino Nano IoT 33. The chapters that follow will show you how to develop multiple real-world embedded projects using a variety of popular devices such as LEDs, 7-segment displays, and timers. Next, you will progress to build interactive prototypes such as a traffic lights system, touchless hand wash timer, and more. As you advance, you'll create an IoT prototype of a weather alert system and display those alerts on the TinyGo WASM dashboard. Finally, you will build a home automation project that displays stats on the TinyGo WASM dashboard.By the end of this microcontroller book, you will be equipped with the skills you need to build real-world embedded projects using the power of TinyGo.

Oracle ADF Enterprise Application Development - Made Simple

Sten E Vesterli

IBM SPSS Modeler Cookbook. If you've already had some experience with IBM SPSS Modeler this cookbook will help you delve deeper and exploit the incredible potential of this data mining workbench. The recipes come from some of the best brains in the business

Keith McCormick, Thomas J Khabaza, Dean Abbott, Meta S. Brown, ...

IBM SPSS Modeler is a data mining workbench that enables you to explore data, identify important relationships that you can leverage, and build predictive models quickly allowing your organization to base its decisions on hard data not hunches or guesswork.IBM SPSS Modeler Cookbook takes you beyond the basics and shares the tips, the timesavers, and the workarounds that experts use to increase productivity and extract maximum value from data. The authors of this book are among the very best of these exponents, gurus who, in their brilliant and imaginative use of the tool, have pushed back the boundaries of applied analytics. By reading this book, you are learning from practitioners who have helped define the state of the art.Follow the industry standard data mining process, gaining new skills at each stage, from loading data to integrating results into everyday business practices. Get a handle on the most efficient ways of extracting data from your own sources, preparing it for exploration and modeling. Master the best methods for building models that will perform well in the workplace.Go beyond the basics and get the full power of your data mining workbench with this practical guide.

UiPath Associate Certification Guide. The go-to guide to passing the Associate certification exam with the help of mock tests and quizzes

Niyaz Ahmed, Lahiru Fernando, Rajaneesh Balakrishnan

UiPath is the most popular vendor in the Robotic Process Automation (RPA) industry. If you're an RPA enthusiast or citizen developer who wants to succeed in the industry, achieving this certification can help you get accredited and ready for real-world challenges using UiPath.UiPath Associate Certification Guide offers complete, up-to-date coverage of the UiPath RPA Associate certification exam to help you pass on the first attempt and get certified. The book is written in a clear, succinct way with self-assessment questions, quizzes with answers at the end of each chapter, exam tips, and mock exams with detailed answers and explanations. You'll start by getting to grips with the basic concepts of UiPath RPA, and then progress to an in-depth discussion of all the concepts required for Associate certification. Finally, you'll develop UiPath skills by gaining the required knowledge and implement these skills using sample business cases.By the end of this UiPath book, you'll have covered everything you need to pass the exam, gained the knowledge you need to work on real-world case studies, and learned how to apply the various concepts to build enterprise-level use cases.

Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python

François Voron

FastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard Python-type hints. With this book, you’ll be able to create fast and reliable data science API backends using practical examples.This book starts with the basics of the FastAPI framework and associated modern Python programming language concepts. You'll be taken through all the aspects of the framework, including its powerful dependency injection system and how you can use it to communicate with databases, implement authentication and integrate machine learning models. Later, you’ll cover best practices relating to testing and deployment to run a high-quality and robust application. You’ll also be introduced to the extensive ecosystem of Python data science packages. As you progress, you’ll learn how to build data science applications in Python using FastAPI. The book also demonstrates how to develop fast and efficient machine learning prediction backends and test them to achieve the best performance. Finally, you’ll see how to implement a real-time face detection system using WebSockets and a web browser as a client.By the end of this FastAPI book, you’ll have not only learned how to implement Python in data science projects but also how to maintain and design them to meet high programming standards with the help of FastAPI.

Practical Machine Learning. Learn how to build Machine Learning applications to solve real-world data analysis challenges with this Machine Learning book – packed with practical tutorials

Sunila Gollapudi

This book explores an extensive range of machine learning techniques uncovering hidden tricks and tips for several types of data using practical and real-world examples. While machine learning can be highly theoretical, this book offers a refreshing hands-on approach without losing sight of the underlying principles. Inside, a full exploration of the various algorithms gives you high-quality guidance so you can begin to see just how effective machine learning is at tackling contemporary challenges of big dataThis is the only book you need to implement a whole suite of open source tools, frameworks, and languages in machine learning. We will cover the leading data science languages, Python and R, and the underrated but powerful Julia, as well as a range of other big data platforms including Spark, Hadoop, and Mahout. Practical Machine Learning is an essential resource for the modern data scientists who want to get to grips with its real-world application.With this book, you will not only learn the fundamentals of machine learning but dive deep into the complexities of real world data before moving on to using Hadoop and its wider ecosystem of tools to process and manage your structured and unstructured data. You will explore different machine learning techniques for both supervised and unsupervised learning; from decision trees to Naïve Bayes classifiers and linear and clustering methods, you will learn strategies for a truly advanced approach to the statistical analysis of data. The book also explores the cutting-edge advancements in machine learning, with worked examples and guidance on deep learning and reinforcement learning, providing you with practical demonstrations and samples that help take the theory–and mystery–out of even the most advanced machine learning methodologies.