OpenStack Cloud Security. Your OpenStack cloud storage contains all your vital computing resources and potentially sensitive data – secure it with this essential OpenStack tutorial

Fabio Alessandro Locati, Fabio A Locati (Duplicate)

Moodle 2 for Teaching 7-14 Year Olds Beginner's Guide. You need no special technical skills or previous Moodle experience to use the e-learning platform to create fantastic interactive teaching aids for pre-teen and early teenage students. This book takes you from A-Z in easy steps

Mary Cooch

Moodle is a very popular e-learning tool in universities and high schools. But what does it have to offer younger students who want a fun, interesting, interactive, and informative learning experience? Moodle empowers teachers to achieve all this and more and this book will show you how!Moodle 2 For Teaching 7-14 Year Olds will show complete beginners in Moodle with no technical background how to make the most of its features to enhance the learning and teaching of children aged around 7-14. The book focuses on the unique needs of young learners to create a fun, interesting, interactive, and informative learning environment your students will want to go to day after day.This is a practical book for teachers, written by a teacher with two decades of practical experience, latterly in using Moodle to motivate younger students. Learn how to put your lessons online in minutes; how to set creative homework that Moodle will mark for you and how to get your students working together to build up their knowledge. Throughout the book we will build a course from scratch, adaptable for ages 7 to 14, on Rivers and Flooding. You can adapt this to any topic, as Moodle lends itself to all subjects and ages.

Python: Penetration Testing for Developers. Execute effective tests to identify software vulnerabilities

Christopher Duffy, Mohit Raj, Cameron Buchanan, Andrew Mabbitt, ...

Cybercriminals are always one step ahead, when it comes to tools and techniques. This means you need to use the same tools and adopt the same mindset to properly secure your software. This course shows you how to do just that, demonstrating how effective Python can be for powerful pentesting that keeps your software safe. Comprising of three key modules, follow each one to push your Python and security skills to the next level.In the first module, we’ll show you how to get to grips with the fundamentals. This means you’ll quickly find out how to tackle some of the common challenges facing pentesters using custom Python tools designed specifically for your needs. You’ll also learn what tools to use and when, giving you complete confidence when deploying your pentester tools to combat any potential threat.In the next module you’ll begin hacking into the application layer. Covering everything from parameter tampering, DDoS, XXS and SQL injection, it will build on the knowledge and skills you learned in the first module to make you an even more fluent security expert.Finally in the third module, you’ll find more than 60 Python pentesting recipes. We think this will soon become your trusted resource for any pentesting situation.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:? Learning Penetration Testing with Python by Christopher Duffy? Python Penetration Testing Essentials by Mohit? Python Web Penetration Testing Cookbook by Cameron Buchanan,Terry Ip, Andrew Mabbitt, Benjamin May and Dave Mound

Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R

Michael Pawlus, Rodger Devine

Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms and architectures with R programming.This book starts with a brief overview of machine learning and deep learning and how to build your first neural network. You’ll understand the architecture of various deep learning algorithms and their applicable fields, learn how to build deep learning models, optimize hyperparameters, and evaluate model performance. Various deep learning applications in image processing, natural language processing (NLP), recommendation systems, and predictive analytics will also be covered. Later chapters will show you how to tackle recognition problems such as image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices. Toward the end of the book, you will learn the common applications of GANs and how to build a face generation model using them. Finally, you’ll get to grips with using reinforcement learning and deep reinforcement learning to solve various real-world problems.By the end of this deep learning book, you will be able to build and deploy your own deep learning applications using appropriate frameworks and algorithms.

Unreal Engine 4 Shaders and Effects Cookbook. Over 70 recipes for mastering post-processing effects and advanced shading techniques

Brais Brenlla Ramos, John P. Doran

Unreal Engine 4 is a powerful game engine, one which has seen a recent boost in widespread adoption thanks to its ease of use and the powerful rendering pipeline that it packs. Seeing as how it's relatively easy to create stunning presentations and visuals, Unreal has quickly become a strong contender in industries where this kind of software had been previously denied entry.With that in mind, this book aims to help you get the most out of Unreal Engine 4 - from creating awe-inspiring graphics to delivering optimized experiences to your users. This is possible thanks to a mixture of hands-on experience with real materials and the theory behind them. You will immediately know how to create that material that you want to display, and you'll also end up with the knowledge that will let you know how to control it.All of this will be done without losing sight of two key components of any real-time application - optimization, and efficiency. The materials that you create will be light and efficient, and they will vary depending on your target platform. You'll know which techniques can be used in any kind of device and which ones should be kept to high-end machines, giving you the confidence to tackle any material-related task that you can imagine. Hop onboard and discover how!

iOS 17 Programming for Beginners. Unlock the world of iOS development with Swift 5.9, Xcode 15, and iOS 17 – your path to App Store success - Eight Edition

Ahmad Sahar

In a world with nearly 2 million apps on the App Store, the demand for skilled iOS developers has never been higher. iOS 17 Programming for Beginners, Eighth Edition is your gateway to this lucrative and dynamic field. This hands-on guide is tailored for those who are new to iOS and takes you on a journey from learning the Swift language to crafting your own app and seeing it thrive on the App Store.Our approach is hands-on and practical. Each chapter is designed to be a stepping stone in your development journey, providing step-by-step tutorials, real-life examples, and clear explanations of complex concepts. As you progress, you'll not only be skilled in Swift but also incorporate cutting-edge technologies into your apps. You'll learn how to publish your creations and harness the power of iOS 17 through a straightforward and easy to program example app divided into manageable parts.By the time you've completed this book, you'll possess the skills and knowledge to not only develop and publish captivating apps but also leverage online resources to continually enhance your app development prowess.

React Key Concepts. An in-depth guide to React's core features - Second Edition

Maximilian Schwarzmüller

Maximilian Schwarzmüller is a bestselling instructor who has helped more than three million students worldwide learn how to code. His bestselling React video course, “React – The Complete Guide”, has over nine hundred thousand students on Udemy.Max has written this quick-start reference that distills the core concepts of React. Simple explanations, relevant examples, and step-by-step derivations make this guide the ideal resource for busy developers. In this second edition, Max guides you through changes brought by React 19, including the new use() hook, form actions, and how to think about React on the server.This book will support you through your next React projects in giving you a behind-the-scenes understanding of the framework – whether you've just finished Max's video course and are looking for a handy reference, or you’re using a variety of other learning materials and need a single study guide to bring everything together.You’ll find full solutions to all end-of-chapter quizzes and exercises in the book’s GitHub repository.

Applied Machine Learning and High-Performance Computing on AWS. Accelerate the development of machine learning applications following architectural best practices

Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter

Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles.This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you’ll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases.By the end of this book, you’ll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle.

Practical Generative AI with ChatGPT. Unleash your prompt engineering potential with OpenAI technologies for productivity and creativity - Second Edition

Valentina Alto

Practical Generative AI with ChatGPT is your hands-on guide to unlocking the full potential of ChatGPT. From building AI assistants and mastering prompt engineering to analyzing documents and images and even generating code, this book equips you with the skills to integrate generative AI into your workflow.Written by a technical architect specializing in AI and intelligent applications, this book provides the tools and knowledge you need to streamline tasks, enhance productivity, and create intelligent solutions. You’ll learn how to craft precise prompts, leverage ChatGPT for daily efficiency, and develop custom AI assistants tailored to your needs.The chapters show you how to use ChatGPT’s multimodal capabilities to generate images with DALL·E and even transform images into code. This ChatGPT book goes beyond basic interactions by showing you how to design custom GPTs and integrate OpenAI’s APIs into your applications. You’ll explore how businesses use OpenAI models, from building AI applications, including semantic search, to creating an AI roadmap. Each chapter is packed with practical examples, ensuring you can apply the techniques right away.By the end of this book, you’ll be well equipped to leverage OpenAI's technology for competitive advantage.

Instant Nokogiri. Learning data scraping and parsing in Ruby using the Nokogiri gem

Hunter Powers, S. Hunter Powers

A wealth of information sits waiting on the Internet. Instant Nokogiri helps you access this information today with Nokogiri, a slick and fast HTML and XML parsing engine. Bundled in an easy-to-use Ruby gem, Nokogiri empowers you to combine disparate data sources and gain an unprecedented insight into your Ruby applications.Instant Nokogiri is a hands-on guide to extracting information from the sources available on the Internet, sources that are not traditionally accessible to developers. You will learn the secrets of identifying content, extracting just the right parts, and incorporating the new data in your Ruby applications.Instant Nokogiri provides step-by-step instructions on how to incorporate the power of the Nokogiri gem and data parsing into your Ruby projects. You will learn all the basics of designing a project around data parsing, exploring disparate data sources, and refining strategies and theories. You will also combine your thoughts in a real-world, real-data sample application. This book will examine common Nokogiri and Ruby methods useful in scraping and parsing complete with practical code samples. You will also learn the secrets behind effective caching, rate limiting, and masking your identity. Instant Nokogiri will teach you how to get targeted data out of HTML and into Ruby, as well as tons of tips, tricks, code snippets, and expert advice.

Oracle Application Express 3.2 - The Essentials and More. Develop Native Oracle database-centric web applications quickly and easily with Oracle APEX

Arie Geller, Matthew Lyon

Developing data-centric web applications can be a real challenge as it is a multi-disciplinary process. There are many technologies involved in the client side (HTML, CSS, JavaScript, and so on); the interaction with the database, on the server side; the typeless nature of the web environment; and above all, the need to put it all together. This needs to be done in a manner that will allow the end users to do their job in the simplest and most efficient way, while enriching their user experience. How often have you wished that developing such applications could be uncomplicated and straightforward? This book will show you that it's possible, and teaches you how to do it, using Oracle Application Express (APEX).With this practical guide to APEX, you'll learn how to easily develop data-centric web applications for the Oracle environment. The book covers the development cycle of an APEX application, reviewing the major APEX principles and building blocks chapter by chapter. It starts with the basic skills you need to get going when developing with APEX. Later, you will learn advanced issues, such as how to build tailor-made forms and reports, using APEX APIs, AJAX, and so on. It not only deals with the How but also with the Why, and before long you will be able to understand APEX concepts, and use them to expand and enhance the built-in features, wizards, and tools.The book starts with the design phase, including building the necessary database objects infrastructure; continues with ways to implement the application logic (on the server side) and the User Interface (on the client side), whilst showing you how to enhance your applications' features and functionality according to your specific needs; and it ends with application deployment.The book emphasizes and clearly documents areas such as Globalization, Localization, and developing multi-lingual applications, and includes a special discussion about Right-To-Left (RTL) support for APEX applications, documented here for the first time.Throughout the book, there are many screenshots and snippets of code, taken from working APEX applications. The book is accompanied by demo APEX applications that you can download and install in your APEX environment, thoroughly analyze, and learn from as you read the book.

Learning Cython Programming. Expand your existing legacy applications in C using Python - Second Edition

Philip Herron

Cython is a hybrid programming language used to write C extensions for Python language. Combining the practicality of Python and speed and ease of the C language it’s an exciting language worth learning if you want to build fast applications with ease. This new edition of Learning Cython Programming shows you how to get started, taking you through the fundamentals so you can begin to experience its unique powers.You’ll find out how to get set up, before exploring the relationship between Python and Cython. You’ll also look at debugging Cython, before moving on to C++ constructs, Caveat on C++ usage, Python threading and GIL in Cython. Finally, you’ll learn object initialization and compile time, and gain a deeper insight into Python 3, which will help you not only become a confident Cython developer, but a much more fluent Python developer too.

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.

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.

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.

Kivy - Interactive Applications and Games in Python. Create responsive cross-platform UI/UX applications and games in Python using the open source Kivy library

Roberto Ulloa

Modern Python Cookbook. 133 recipes to develop flawless and expressive programs in Python 3.8 - Second Edition

Steven F. Lott

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great language that can power your applications and provide great speed, safety, and scalability. It can be used for simple scripting or sophisticated web applications. By exposing Python as a series of simple recipes, this book gives you insight into specific language features in a particular context. Having a tangible context helps make the language or a given standard library feature easier to understand.This book comes with 133 recipes on the latest version of Python 3.8. The recipes will benefit everyone, from beginners just starting out with Python to experts. You'll not only learn Python programming concepts but also how to build complex applications.The recipes will touch upon all necessary Python concepts related to data structures, object oriented programming, functional programming, and statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively take advantage of it.By the end of this Python book, you will be equipped with knowledge of testing, web services, configuration, and application integration tips and tricks. You will be armed with the knowledge of how to create applications with flexible logging, powerful configuration, command-line options, automated unit tests, and good documentation.

Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

Ayodele Oluleye

In today's data-centric world, the ability to extract meaningful insights from vast amounts of data has become a valuable skill across industries. Exploratory Data Analysis (EDA) lies at the heart of this process, enabling us to comprehend, visualize, and derive valuable insights from various forms of data.This book is a comprehensive guide to Exploratory Data Analysis using the Python programming language. It provides practical steps needed to effectively explore, analyze, and visualize structured and unstructured data. It offers hands-on guidance and code for concepts such as generating summary statistics, analyzing single and multiple variables, visualizing data, analyzing text data, handling outliers, handling missing values and automating the EDA process. It is suited for data scientists, data analysts, researchers or curious learners looking to gain essential knowledge and practical steps for analyzing vast amounts of data to uncover insights.Python is an open-source general purpose programming language which is used widely for data science and data analysis given its simplicity and versatility. It offers several libraries which can be used to clean, analyze, and visualize data. In this book, we will explore popular Python libraries such as Pandas, Matplotlib, and Seaborn and provide workable code for analyzing data in Python using these libraries.By the end of this book, you will have gained comprehensive knowledge about EDA and mastered the powerful set of EDA techniques and tools required for analyzing both structured and unstructured data to derive valuable insights.

Blender 2.6 Cycles: Materials and Textures Cookbook. With this book you'll be able to explore and master all that the Cycles rendering engine is capable of. From the basics right through to refining, this is a must-read if you're serious about the realism of your materials and textures

Ton Roosendaal, Enrico Valenza

Cycles is Blender's new, powerful rendering engine. Using practical examples, this book will show you how to create a vast array of realistic and stunning materials and texture effects using the Cycles rendering engine.Blender 2.6 Cycles: Materials and Textures Cookbook is a practical journey into the new and exciting Cycles rendering engine for Blender. In this book you will learn how to create a vast array of materials and textures in Cycles, including glass, ice, snow, rock, metal and water. If you want to take your 3D models to the next level, but don't know how, then this cookbook is for you!In this practical cookbook, you will learn how to create stunning materials and textures to really bring your 3D models to life! Diving deep into Cycles you will learn Cycle's node-based material system, how to set-up a 3D scene for rendering, how to create a natural and man-made materials as well as the correct organization and re-use of Cycles materials to save you time and effort.To ensure that your creations look stunning you will learn how illumination works in Cycles, improve the quality of the final render and to avoid the presence of noise and fireflies. Each chapter of Blender 2.6 Cycles: Materials and Textures Cookbook builds on the complexity of the last so that by the end of this book you will know how to create an impressive library of realistic-looking materials and textures.

Fast Data Processing Systems with SMACK Stack. Click here to enter text

Raúl Estrada

SMACK is an open source full stack for big data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. This stack is the newest technique developers have begun to use to tackle critical real-time analytics for big data. This highly practical guide will teach you how to integrate these technologies to create a highly efficient data analysis system for fast data processing.We’ll start off with an introduction to SMACK and show you when to use it. First you’ll get to grips with functional thinking and problem solving using Scala. Next you’ll come to understand the Akka architecture. Then you’ll get to know how to improve the data structure architecture and optimize resources using Apache Spark. Moving forward, you’ll learn how to perform linear scalability in databases with Apache Cassandra. You’ll grasp the high throughput distributed messaging systems using Apache Kafka. We’ll show you how to build a cheap but effective cluster infrastructure with Apache Mesos. Finally, you will deep dive into the different aspect of SMACK using a few case studies. By the end of the book, you will be able to integrate all the components of the SMACK stack and use them together to achieve highly effective and fast data processing.

JavaScript Concurrency. Build better software with concurrent JavaScript programming, and unlock a more efficient and forward thinking approach to web development

Adam Boduch

Concurrent programming may sound abstract and complex, but it helps to deliver a better user experience. With single threaded JavaScript, applications lack dynamism. This means that when JavaScript code is running, nothing else can happen. The DOM can’t update, which means the UI freezes. In a world where users expect speed and responsiveness – in all senses of the word – this is something no developer can afford.Fortunately, JavaScript has evolved to adopt concurrent capabilities – one of the reasons why it is still at the forefront of modern web development. This book helps you dive into concurrent JavaScript, and demonstrates how to apply its core principles and key techniques and tools to a range of complex development challenges. Built around the three core principles of concurrency – parallelism, synchronization, and conservation – you’ll learn everything you need to unlock a more efficient and dynamic JavaScript, to lay the foundations of even better user experiences. Throughout the book you’ll learn how to put these principles into action by using a range of development approaches. Covering everything from JavaScript promises, web workers, generators and functional programming techniques, everything you learn will have a real impact on the performance of your applications. You’ll also learn how to move between client and server, for a more frictionless and fully realized approach to development. With further guidance on concurrent programming with Node.js, JavaScript Concurrency is committed to making you a better web developer.The best developers know that great design is about more than the UI – with concurrency, you can be confident every your project will be expertly designed to guarantee its dynamism and power.