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Packed with easy-to-follow recipes, this practical guide will show you how to unleash the full might of the AngularJS framework. Skip straight to practical solutions and quick, functional answers to your problems without hand-holding or slogging through the basics. Avoid antipatterns and pitfalls, and squeeze the maximum amount out of the most powerful parts of the framework, from creating promise-driven applications to building an extensible event bus. Throughout, take advantage of a clear problem-solving approach that offers code samples and explanations of components you should be using in your production applications.
SFML Game Development By Example. Create and develop exciting games from start to finish using SFML
Simple and Fast Multimedia Library (SFML) is a simple interface comprising five modules, namely, the audio, graphics, network, system, and window modules, which help to develop cross-platform media applications. By utilizing the SFML library, you are provided with the ability to craft games quickly and easily, without going through an extensive learning curve. This effectively serves as a confidence booster, as well as a way to delve into the game development process itself, before having to worry about more advanced topics such as “rendering pipelines” or “shaders.”With just an investment of moderate C++ knowledge, this book will guide you all the way through the journey of game development.The book starts by building a clone of the classical snake game where you will learn how to open a window and render a basic sprite, write well-structured code to implement the design of the game, and use the AABB bounding box collision concept.The next game is a simple platformer with enemies, obstacles and a few different stages. Here, we will be creating states that will provide custom application flow and explore the most common yet often overlooked design patterns used in game development.Last but not the least, we will create a small RPG game where we will be using common game design patterns, multiple GUI. elements, advanced graphical features, and sounds and music features. We will also be implementing networking features that will allow other players to join and play together.By the end of the book, you will be an expert in using the SFML library to its full potential.
Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10.Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community.If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges
Sean Tracy, Paul Reindell, Sean P Tracy (USD)
CryENGINE is a complete game development environment used by AAA game development studio Crytek to produce blockbuster games such as Crysis 1, 2 and 3. This complete Beginner's Guide takes the would be game developer through the steps required to create a game world complete with event scripting, user interface and 3D environment in the free CryENGINE SDK. Learn to create game worlds with the CryENGINE 3 Sandbox, the tool used to create AAA games like the soon to be released Crysis 3. Follow straightforward examples to sculpt the terrain, place vegetation, set up lighting, create game sounds, script with Lua and code with C++. Learn to navigate the interface within the CryENGINE 3 Sandbox, the tool used to create AAA games like Crysis 1 and 2, as well as the soon to be released Crysis 3. Learn to create your own worlds by following straight forward examples to sculpt the terrain, place vegetation, set up lighting, create game sounds, and script with the Lua language. The book covers all beginner aspects of game development including an introduction to C++ for non- coders.
Using packaged software for Customer Relationship Management or Enterprise Resource Planning is often seen as a sure-fire way to reduce costs, refocus scarce resources, and increase returns on investment. However, research shows that the majority of packaged or Commercial Off-The-Shelf (COTS) implementations fail to provide this value due to the implementation approach taken.Authored by Grady Brett Beaubouef, who has over fifteen years of packaged software implementation experience, this book will help you define an effective implementation strategy for your packaged software investment.The book focuses on Commercial Off-The-Shelf (COTS) implementations, and helps you to successfully implement packaged software. Using a step-by-step approach, it begins with an assessment of the limitations of current implementation methods for packaged software. It then helps you to analyze your requirements and offers 10 must-know principles gleaned from real-world packaged software implementations. These 10 principles cover how to maximize enhancements and minimize customizations, focus on business results, and negotiate for success, and so on. You will learn how to best leverage these principles as part of your implementation. As you progress through the book, you will learn how to put packaged software into action with forethought, planning, and proper execution. Doing so will lead to reductions in implementation costs, customizations, and development time.
Anshul Saxena, Javier Mancilla, Iraitz Montalban, Christophe Pere
Quantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems.This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you’ll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you'll become adept at working with simple programs illustrating quantum computing principles. Gradually, you'll progress to more sophisticated programs and algorithms that harness the full power of quantum computing.By the end of this book, you’ll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.
Geospatial development links your data to places on the Earth's surface. Writing geospatial programs involves tasks such as grouping data by location, storing and analyzing large amounts of spatial information, performing complex geospatial calculations, and drawing colorful interactive maps. In order to do this well, you'll need appropriate tools and techniques, as well as a thorough understanding of geospatial concepts such as map projections, datums and coordinate systems.Python Geospatial Development - Second Edition teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python.Python Geospatial Development teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python.This book provides an overview of the major geospatial concepts, data sources and toolkits. It teaches you how to store and access spatial data using Python, how to perform a range of spatial calculations, and how to store spatial data in a database. Because maps are such an important aspect of geospatial programming, the book teaches you how to build your own “slippy map” interface within a web application, and finishes with the detailed construction of a geospatial data editor using Geodjango.Whether you want to write quick utilities to solve spatial problems, or develop sophisticated web applications based around maps and geospatial data, this book includes everything you need to know.
With an increasing number of devices getting connected to the Internet, massive amounts of data are being generated that can be used for analysis. This book helps you to understand Internet of Things in depth and decision science, and solve business use cases. With IoT, the frequency and impact of the problem is huge. Addressing a problem with such a huge impact requires a very structured approach. The entire journey of addressing the problem by defining it, designing the solution, and executing it using decision science is articulated in this book through engaging and easy-to-understand business use cases. You will get a detailed understanding of IoT, decision science, and the art of solving a business problem in IoT through decision science. By the end of this book, you’ll have an understanding of the complex aspects of decision making in IoT and will be able to take that knowledge with you onto whatever project calls for it
Dennis McCain, Cameron Coursey
Even if you’re an IoT technology manager with a sound understanding of wireless local area network technologies like Wi-Fi and Bluetooth, you may face many unique challenges when implementing a wireless wide area network (WWAN) IoT solution with cellular technologies with respect to choosing the optimal IoT device, cellular connectivity, and architecture. To help you overcome such roadblocks, this digital transformation book guides you in implementing a robust, end-to-end cellular IoT solution using best practices for all aspects of managing the IoT solution.Starting with an introduction to the top IoT markets and solutions in the context of an enterprise’s digital transformation, this book will show you how this leads to cost savings and new business models. You’ll grasp all you need to know about the IoT system components, life cycle, and best practices for implementing an IoT solution. While the book explains all the leading IoT wireless technologies, the focus is on LTE and 5G cellular technologies. With a review of real-world cellular IoT solution case studies and future IoT trends, you'll be ready to work with wireless IoT technologies, devices, and architectures.By the end of this book, you'll be able to identify the best wireless technologies for your IoT use cases and successfully implement cellular IoT solutions addressing key issues in the solution life cycle.
VMware Horizon View helps you simplify desktop and application management while increasing security and control. This book will introduce you to all of the components of the VMware Horizon View suite, walk you through their deployment, and show how they are used. We will also discuss how to assess your virtual desktop resource requirements, and build an optimized virtual desktop. Implementing VMware Horizon View 5.2 will provide you the information needed to deploy and administer your own end-user computing infrastructure. This includes not only the View components themselves, but key topics such as assessing virtual desktop resource needs, and how to optimize your virtual desktop master image.You will learn how to design and deploy a performant, flexible and powerful desktop virtualization solution using VMware Horizon View. You will implement important components and features, such as VMware View Connection Server, VMware View Composer, VMware View Transfer Server, and VMware View Security Server.Implementing VMware Horizon View 5.2 will take you through application virtualization with VMware ThinApp, the implementation of Persona Management, and creation of Desktop Pools. We then cover View Client options, Desktop maintenance, and Virtual Desktop Master Image. Finally we discuss View SSL certificates management, Group Policies, PowerCLI, and VMware View Design and Maintenance to help you get the most out of VMware View.If you want to learn how to design, implement and administrate a complex, optimized desktop virtualization solution with VMware View, then this book is for you.
Geospatial Analysis is used in almost every field you can think of from medicine, to defense, to farming. This book will guide you gently into this exciting and complex field. It walks you through the building blocks of geospatial analysis and how to apply them to influence decision making using the latest Python software. Learning Geospatial Analysis with Python, 2nd Edition uses the expressive and powerful Python 3 programming language to guide you through geographic information systems, remote sensing, topography, and more, while providing a framework for you to approach geospatial analysis effectively, but on your own terms. We start by giving you a little background on the field, and a survey of the techniques and technology used. We then split the field into its component specialty areas: GIS, remote sensing, elevation data, advanced modeling, and real-time data.This book will teach you everything you need to know about, Geospatial Analysis from using a particular software package or API to using generic algorithms that can be applied. This book focuses on pure Python whenever possible to minimize compiling platform-dependent binaries, so that you don’t become bogged down in just getting ready to do analysis. This book will round out your technical library through handy recipes that will give you a good understanding of a field that supplements many a modern day human endeavors.
Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data, and this book will show you how to manage these tasks using Python.This updated third edition of the Bioinformatics with Python Cookbook begins with a quick overview of the various tools and libraries in the Python ecosystem that will help you convert, analyze, and visualize biological datasets. Next, you'll cover key techniques for next-generation sequencing, single-cell analysis, genomics, metagenomics, population genetics, phylogenetics, and proteomics with the help of real-world examples. You'll learn how to work with important pipeline systems, such as Galaxy servers and Snakemake, and understand the various modules in Python for functional and asynchronous programming. This book will also help you explore topics such as SNP discovery using statistical approaches under high-performance computing frameworks, including Dask and Spark. In addition to this, you’ll explore the application of machine learning algorithms in bioinformatics.By the end of this bioinformatics Python book, you'll be equipped with the knowledge you need to implement the latest programming techniques and frameworks, empowering you to deal with bioinformatics data on every scale.
Pachyderm is an open source project that enables data scientists to run reproducible data pipelines and scale them to an enterprise level. This book will teach you how to implement Pachyderm to create collaborative data science workflows and reproduce your ML experiments at scale.You’ll begin your journey by exploring the importance of data reproducibility and comparing different data science platforms. Next, you’ll explore how Pachyderm fits into the picture and its significance, followed by learning how to install Pachyderm locally on your computer or a cloud platform of your choice. You’ll then discover the architectural components and Pachyderm's main pipeline principles and concepts. The book demonstrates how to use Pachyderm components to create your first data pipeline and advances to cover common operations involving data, such as uploading data to and from Pachyderm to create more complex pipelines. Based on what you've learned, you'll develop an end-to-end ML workflow, before trying out the hyperparameter tuning technique and the different supported Pachyderm language clients. Finally, you’ll learn how to use a SaaS version of Pachyderm with Pachyderm Notebooks.By the end of this book, you will learn all aspects of running your data pipelines in Pachyderm and manage them on a day-to-day basis.