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This course takes you on a journey through the basics of C# programming and algorithmic thinking, tailored specifically for complete beginners. Starting with an understanding of how a computer works, you will explore integrated development environments, essential software packages, and basic algorithmic concepts.As you progress, you will delve deeper into key programming constructs such as variables, constants, input and output handling, operators, and control structures. The course emphasizes practical application, guiding you through exercises involving complex mathematical expressions, string manipulations, decision structures, and loop control structures. By the time you reach the advanced sections, you will have a comprehensive understanding of data structures, subprograms, and object-oriented programming.Designed to be engaging and informative, this course offers tips, tricks, and detailed explanations to help you master each concept. The use of Visual Studio Code is seamlessly integrated, providing you with hands-on experience in a real-world development environment. By the end of the course, you will be well-equipped to tackle more advanced programming challenges and continue your journey in the world of software development.
Azure for Decision Makers. The essential guide to Azure for business leaders
Jack Lee, Jason Milgram, David Rendón
Azure for Decision Makers provides a comprehensive overview of the latest updates in cloud security, hybrid cloud and multi-cloud solutions, and cloud migration in Azure. This book is a must-have introduction to the Microsoft Azure cloud platform, demonstrating the substantial scope of digital transformation and innovation that can be achieved with Azure's capabilities.The first set of chapters will get you up to speed with Microsoft Azure's evolution before showing you how to integrate it into your existing IT infrastructure. Next, you’ll gain practical insights into application migration and modernization, focusing mainly on migration planning, implementation, and best practices. Throughout the book, you’ll get the information you need to spearhead a smooth migration and modernization process, detailing Azure infrastructure as a service (IaaS) deployment, infrastructure management, and key application architectures. The concluding chapters will help you to identify and incorporate best practices for cost optimization and management, Azure DevOps, and Azure automation.By the end of this book, you’ll have learned how to lead end-to-end Azure operations for your organization and effectively cost-optimize your processes ─ from the planning and cloud migration stage through to troubleshooting.
Do you think that only experts with a deep understanding of the inner workings of ASP.NET, SQL Server, and IIS can improve a website's performance? Think again – because this book tosses that notion out of the window. It will help you resolve every web developer's nightmare – a slow website – with angry managers looking over your shoulder, raging calls from advertisers and clients – the lot. You don't have the time or energy to gain a thorough and complete understanding of ASP.NET performance optimization – You just need your site to run faster! This book will show you how.This hands-on book shows how to dramatically improve the performance of your ASP.NET-based website straight away, without forcing you through a lot of theoretical learning. It teaches you practical, step-by-step techniques that you can use right away to make your site faster with just the right amount of theory you need to make sense of it all.Start reading today and you could have a faster website tomorrow.Unlike other performance-related books, here you'll first learn how to pinpoint the bottlenecks that hold back your site's performance, so you can initially focus your time and energy on those areas of your site where you can quickly make the biggest difference. It then shows you how to fix the bottlenecks you found with lots of working code samples and practical advice, and just the right amount of theoretical detail.The first chapter details techniques for diagnosing performance issues using Waterfall charts. Subsequent chapters then each focus on one individual aspect of your website, providing you with numerous real-life scenarios and performance-enhancing techniques for each of them. In the last chapter, you learn how to effectively load-test your environment in order to measure the change in performance of your site without having to update your production environment – whether it is a new release or simply a small change in the database.
Matt Lacey, Marcel Alexander Wagner
Developers are increasingly being asked to build native applications that run on multiple operating systems and in the browser. In the past, this would have meant learning new technologies and making multiple copies of an application. But the Uno Platform allows you to use tools, languages, and APIs you already know from building Windows apps to develop apps that can also run on other platforms. This book will help you to create customer-facing as well as line-of-business apps that can be used on the device, browser, or operating system of your choice.This practical guide enables developers to put their C# and XAML knowledge to work by writing cross-platform apps using the Uno Platform. Packed with tips and practical examples, this book will help you to build applications for common scenarios. You'll begin by learning about the Uno Platform through step-by-step explanations of essential concepts, before moving on to creating cross-platform apps for different lines of business. Throughout this book, you'll work with examples that will teach you how to combine your existing knowledge to manage common development environments and implement frequently needed functionality.By the end of this Uno development book, you will have learned how to write your own cross-platform apps with the Uno Platform and use additional tools and libraries to speed up your app development process.
Mikael Krief, Mitchell Hashimoto
HashiCorp Configuration Language (HCL) has changed how we define and provision a data center infrastructure with the launch of Terraform—one of the most popular and powerful products for building Infrastructure as Code. This practical guide will show you how to leverage HashiCorp's Terraform tool to manage a complex infrastructure with ease.Starting with recipes for setting up the environment, this book will gradually guide you in configuring, provisioning, collaborating, and building a multi-environment architecture. Unlike other books, you’ll also be able to explore recipes with real-world examples to provision your Azure infrastructure with Terraform. Once you’ve covered topics such as Azure Template, Azure CLI, Terraform configuration, and Terragrunt, you’ll delve into manual and automated testing with Terraform configurations. The next set of chapters will show you how to manage a balanced and efficient infrastructure and create reusable infrastructure with Terraform modules. Finally, you’ll explore the latest DevOps trends such as continuous integration and continuous delivery (CI/CD) and zero-downtime deployments.By the end of this book, you’ll have developed the skills you need to get the most value out of Terraform and manage your infrastructure effectively.
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.
Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
Arun Manivannan, Pascal Bugnion, Patrick R. Nicolas
Scala is especially good for analyzing large sets of data as the scale of the task doesn’t have any significant impact on performance. Scala’s powerful functional libraries can interact with databases and build scalable frameworks — resulting in the creation of robust data pipelines. The first module introduces you to Scala libraries to ingest, store, manipulate, process, and visualize data. Using real world examples, you will learn how to design scalable architecture to process and model data — starting from simple concurrency constructs and progressing to actor systems and Apache Spark. After this, you will also learn how to build interactive visualizations with web frameworks.Once you have become familiar with all the tasks involved in data science, you will explore data analytics with Scala in the second module. You’ll see how Scala can be used to make sense of data through easy to follow recipes. You will learn about Bokeh bindings for exploratory data analysis and quintessential machine learning with algorithms with Spark ML library. You’ll get a sufficient understanding of Spark streaming, machine learning for streaming data, and Spark graphX. Armed with a firm understanding of data analysis, you will be ready to explore the most cutting-edge aspect of data science — machine learning. The final module teaches you the A to Z of machine learning with Scala. You’ll explore Scala for dependency injections and implicits, which are used to write machine learning algorithms. You’ll also explore machine learning topics such as clustering, dimentionality reduction, Naïve Bayes, Regression models, SVMs, neural networks, and more. This learning path combines some of the best that Packt has to offer into one complete, curated package. It includes content from the following Packt products:• Scala for Data Science, Pascal Bugnion• Scala Data Analysis Cookbook, Arun Manivannan • Scala for Machine Learning, Patrick R. Nicolas
Modular Programming with PHP 7. Click here to enter text
Modular design techniques help you build readable, manageable, reusable, and more efficient codes. PHP 7, which is a popular open source scripting language, is used to build modular functions for your software. With this book, you will gain a deep insight into the modular programming paradigm and how to achieve modularity in your PHP code. We start with a brief introduction to the new features of PHP 7, some of which open a door to new concepts used in modular development. With design patterns being at the heart of all modular PHP code, you will learn about the GoF design patterns and how to apply them. You will see how to write code that is easy to maintain and extend over time with the help of the SOLID design principles. Throughout the rest of the book, you will build different working modules of a modern web shop application using the Symfony framework, which will give you a deep understanding of modular application development using PHP 7.
RethinkDB has a lot of cool things to be excited about: ReQL (its readable,highly-functional syntax), cluster management, primitives for 21st century applications, and change-feeds. This book starts with a brief overview of the RethinkDB architecture and data modeling, and coverage of the advanced ReQL queries to work with JSON documents. Then, you will quickly jump to implementing these conceptsin real-world scenarios, by building real-time applications on polling, data synchronization, share market, and the geospatial domain using RethinkDB andNode.js. You will also see how to tweak RethinkDB's capabilities to ensure faster data processing by exploring the sharding and replication techniques in depth.Then, we will take you through the more advanced administration tasks as well as show you the various deployment techniques using PaaS, Docker, and Compose. By the time you have finished reading this book, you would have taken your knowledge of RethinkDB to the next level, and will be able to use the concepts in RethinkDB to develop efficient, real-time applications with ease.
Blender Game Engine: Beginner's Guide
Ton Roosendaal, Marçal Mora Piquet
Blender Game Engine is the part of the Blender 3D editor used to create actual 3D video games. It's the ideal entry level game development environment because you don't even need to learn to program. Create a complete game using Bender's innovative logic bricks.Blender Game Engine: Beginner's Guide is the ideal introduction to game development. Using only logic bricks, the reader will create a complete game in Blender. By the end of the book the reader will be able to use their skills to create their own 3D games.
Cybercriminals are always in search of new methods to infiltrate systems. Quickly responding to an incident will help organizations minimize losses, decrease vulnerabilities, and rebuild services and processes.In the wake of the COVID-19 pandemic, with most organizations gravitating towards remote working and cloud computing, this book uses frameworks such as MITRE ATT&CK® and the SANS IR model to assess security risks.The book begins by introducing you to the cybersecurity landscape and explaining why IR matters. You will understand the evolution of IR, current challenges, key metrics, and the composition of an IR team, along with an array of methods and tools used in an effective IR process. You will then learn how to apply these strategies, with discussions on incident alerting, handling, investigation, recovery, and reporting.Further, you will cover governing IR on multiple platforms and sharing cyber threat intelligence and the procedures involved in IR in the cloud. Finally, the book concludes with an “Ask the Experts” chapter wherein industry experts have provided their perspective on diverse topics in the IR sphere.By the end of this book, you should become proficient at building and applying IR strategies pre-emptively and confidently.