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  • Safari, an O'Reilly Media Company.  (352)
  • Safari, an O’Reilly Media Company  (181)
  • Kunz, Johannes
  • [Erscheinungsort nicht ermittelbar] : Packt Publishing  (352)
  • [Erscheinungsort nicht ermittelbar] : CRC Press  (181)
Datasource
Material
Language
Years
Author, Corporation
  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 hr., 16 min.)
    Edition: 1st edition.
    Keywords: Electronic videos
    Abstract: The best Linux administration course that prepares you for corporate jobs and for RHCSA, RHCE, LFCS, CLNP certifications About This Video Gain advanced Linux systems administration skills Understand Linux fundamentals and concepts Prepare for your Redhat Certified System Administrator (RHCSA - EX200) In Detail Linux is the number one operating system in the corporate world. It is a popular open-source operating system that is easy to use and highly secure. If you want to start your career in Linux and have little or no knowledge of Linux, then this course is for you. In this course, you will master Linux installation, configuration, administration, troubleshooting, the command line, OS tools, and much more. We have included resume and interview workshops that will help you get your dream IT job. This course will also help significantly in passing your RHCSA, RHCE, LFCS, and CompTIA Linux+ certification exams. By the end of this course, you will be a professional Linux administrator, be able to apply for Linux jobs and to take the EX-200 exam, and become a Redhat Certified System Administrator (RHCSA - EX200). Audience This course is designed for people who want to start a career in Linux, those who want to become a RedHat Certified System Administrator (RHCSA EX-200), and anyone keen to master Linux command-line skills.
    Note: Online resource; Title from title screen (viewed February 28, 2022)
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838557744
    Language: English
    Pages: 1 online resource (346 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy Key Features Explore the ins and outs of genetic algorithms with this fast-paced guide Implement tasks such as feature selection, search optimization, and cluster analysis using Python Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications Book Description Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence. After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications. By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains. What you will learn Understand how to use state-of-the-art Python tools to create genetic algorithm-based applications Use genetic algorithms to optimize functions and solve planning and scheduling problems Enhance the performance of machine learning models and optimize deep learning network architecture Apply genetic algorithms to reinforcement learning tasks using OpenAI Gym Explore how images can be reconstructed using a set of semi-transparent shapes Discover other bio-inspired techniques, such as genetic programming and particle swarm optimization Who this book is for This book is for software developers, data scientists, and AI enthusiasts who want to us...
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838829094
    Language: English
    Pages: 1 online resource (530 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A practical blockchain handbook designed to take you through implementing and re-engineering banking and financial solutions and workflows using eight step-by-step projects Key Features Implement various end-to-end blockchain projects and learn to enhance present-day financial solutions Use Ethereum, Hyperledger, and Stellar to build public and private decentralized applications Address complex challenges faced in the BFSI domain using different blockchain platform services Book Description Blockchain technology will continue to play an integral role in the banking and finance sector in the coming years. It will enable enterprises to build transparent and secure business processes. Experts estimate annual savings of up to 20 billion dollars from this technology. This book will help you build financial apps using blockchain, guiding you through enhancing popular products and services in the banking and finance sector. The book starts by explaining the essential concepts of blockchain, and the impact of blockchain technology on the BFSI sector. Next, you'll delve into re-designing existing banking processes and building new financial apps using blockchain. To accomplish this, you'll work through eight blockchain projects. By demonstrating the entire process, the book helps you understand everything from setting up the environment and building frontend portals to system integration and testing apps. You will gain hands-on experience with the Ethereum, Hyperledger Fabric, and Stellar to develop private and public decentralized apps. Finally, you'll learn how to use ancillary platforms and frameworks such as IPFS, Truffle OpenZeppelin, and MetaMask. By the end of this blockchain book, you'll have an in-depth understanding of how to leverage distributed ledgers and smart contracts for financial use cases. What you will learn Design and implement blockchain solutions in a BFSI organization Explore common architectures and implementation models for enterprise blockchain Design blockchain wallets for multi-purpose applications using Ethereum Build secure and fast decentralized trading ecosystems with Blockchain Implement smart contracts to build secure process workflows in Ethereum and Hyperledger Fabric Use the Stellar platform to build KYC and AML-compliant remittance workflows Map complex business workflows and automate backend processes in a blockchain architecture Who this book is for This book is for blockchain and Dapps developers, or anyone loo...
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800206175
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Learn Microsoft Azure and become a certified expert to give your career a new direction About This Video Get to grips with Azure fundamental concepts Derive your own cloud solutions by understanding Microsoft Azure cloud Learn an important and mandatory skill for Windows server administrators and developers In Detail AZ-900 Azure Fundamentals exam is intended for candidates with non-technical backgrounds, such as those involved in selling or purchasing cloud-based solutions and services, as well as those with a technical background who have a need to validate their foundational-level knowledge around cloud services and Azure. This course starts off by setting up a blueprint of what the course covers and how you will travel through the concepts. You will begin by exploring the benefits of cloud services and how as-a-service offerings function. You will further cover cloud models and core Azure architectural components. In the concluding modules, you will understand the internet of things (IoT) on Azure. By the end of this course, you'll become skilled enough to confidently appear in the Microsoft Azure fundamentals examination.
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (426 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Explore Qt Creator, Qt Quick, and QML to design and develop applications that work on desktop, mobile, embedded, and IoT platforms Key Features Build a solid foundation in Qt by learning about its core classes, multithreading, File I/O, and networking Learn GUI programming and build custom interfaces using Qt Widgets, Qt Designer, and QML Use the latest features of C++17 for improving the performance of your Qt applications Book Description Qt is a powerful development framework that serves as a complete toolset for building cross-platform applications, helping you reduce development time and improve productivity. Completely revised and updated to cover C++17 and the latest developments in Qt 5.12, this comprehensive guide is the third edition of Application Development with Qt Creator. You'll start by designing a user interface using Qt Designer and learn how to instantiate custom messages, forms, and dialogues. You'll then understand Qt's support for multithreading, a key tool for making applications responsive, and the use of Qt's Model-View-Controller (MVC) to display data and content. As you advance, you'll learn to draw images on screen using Graphics View Framework and create custom widgets that interoperate with Qt Widgets. This Qt programming book takes you through Qt Creator's latest features, such as Qt Quick Controls 2, enhanced CMake support, a new graphical editor for SCXML, and a model editor. You'll even work with multimedia and sensors using Qt Quick, and finally develop applications for mobile, IoT, and embedded devices using Qt Creator. By the end of this Qt book, you'll be able to create your own cross-platform applications from scratch using Qt Creator and the C++ programming language. What you will learn Create programs from scratch using the Qt framework and C++ language Compile and debug your Qt Quick and C++ applications using Qt Creator Implement map view with your Qt application and display device location on the map Understand how to call Android and iOS native functions from Qt C++ code Localize your application with Qt Linguist Explore various Qt Quick components that provide access to audio and video playbacks Develop GUI applications using both Qt and Qt Quick Who this book is for If you are a beginner looking to harness the power of Qt and the Qt Creator framework for cross-platform development, this book is for you. Although no prior knowledge of Qt and Qt Creator is required, basic knowledge of C++ programmin...
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789804683
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 49 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Avoid common C# mistakes to improve your apps' productivity About This Video Grasp how language constructs, structs, equality, polymorphism, and C# primitives work Master tools such as perfview, windbg, and Visual Studio's debugging capabilities Effectively design reusable apps that obey SOLID principles, properly secure them, and scale them via microservices In Detail Professional software development involves many different skills. As a C# developer, you must be skilled in the C# language and the .NET Core runtime. With this course, you'll take your C# and .NET Core skills to the next level by avoiding common mistakes when coding, using design patterns, developing microservices, persisting your data, securing your application, and even debugging problems. Learning the basics of a language or platform can easily be done by following a course/book and with some hands-on practice. The path to becoming a software developer encounters many edge cases. During this course, you'll learn from my hard-earned experience, garnered from real-life situations, regarding the C# language and .NET platform. You can take this course as a vaccination against future coding infections! By the time you finish this course, you will have developed your skills to "sniff out" coding issues effectively and avoid mistakes. Whatever your issues, the aim of this course is to take you to the 'Bring it on!' point when it comes to solving your .NET and C# problems. Please note that this course assumes familiarity with C#, .NET Core, and ASP.NET Core, together with Visual Studio (2017 or 2019).
    Note: Online resource; Title from title screen (viewed February 11, 2020) , Mode of access: World Wide Web.
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (400 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Become well-versed with forensics for the Android, iOS, and Windows 10 mobile platforms by learning essential techniques and exploring real-life scenarios Key Features Apply advanced forensic techniques to recover deleted data from mobile devices Retrieve and analyze data stored not only on mobile devices but also on the cloud and other connected mediums Use the power of mobile forensics on popular mobile platforms by exploring different tips, tricks, and techniques Book Description Mobile phone forensics is the science of retrieving data from a mobile phone under forensically sound conditions. This updated fourth edition of Practical Mobile Forensics delves into the concepts of mobile forensics and its importance in today's world. The book focuses on teaching you the latest forensic techniques to investigate mobile devices across various mobile platforms. You will learn forensic techniques for multiple OS versions, including iOS 11 to iOS 13, Android 8 to Android 10, and Windows 10. The book then takes you through the latest open source and commercial mobile forensic tools, enabling you to analyze and retrieve data effectively. From inspecting the device and retrieving data from the cloud, through to successfully documenting reports of your investigations, you'll explore new techniques while building on your practical knowledge. Toward the end, you will understand the reverse engineering of applications and ways to identify malware. Finally, the book guides you through parsing popular third-party applications, including Facebook and WhatsApp. By the end of this book, you will be proficient in various mobile forensic techniques to analyze and extract data from mobile devices with the help of open source solutions. What you will learn Discover new data extraction, data recovery, and reverse engineering techniques in mobile forensics Understand iOS, Windows, and Android security mechanisms Identify sensitive files on every mobile platform Extract data from iOS, Android, and Windows platforms Understand malware analysis, reverse engineering, and data analysis of mobile devices Explore various data recovery techniques on all three mobile platforms Who this book is for This book is for forensic examiners with basic experience in mobile forensics or open source solutions for mobile forensics. Computer security professionals, researchers or anyone looking to gain a deeper understanding of mobile internals will also find this book useful. Some underst...
    Note: Online resource; Title from title page (viewed April 9, 2020) , Mode of access: World Wide Web.
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838980924
    Language: English
    Pages: 1 online resource (404 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Understand how to set up, configure, and use Azure Sentinel to provide security incident and event management services for your environment Key Features Secure your network, infrastructure, data, and applications on Microsoft Azure effectively Integrate artificial intelligence, threat analysis, and automation for optimal security solutions Investigate possible security breaches and gather forensic evidence to prevent modern cyber threats Book Description Azure Sentinel is a Security Information and Event Management (SIEM) tool developed by Microsoft to integrate cloud security and artificial intelligence (AI). Azure Sentinel not only helps clients identify security issues in their environment, but also uses automation to help resolve these issues. With this book, you'll implement Azure Sentinel and understand how it can help find security incidents in your environment with integrated artificial intelligence, threat analysis, and built-in and community-driven logic. This book starts with an introduction to Azure Sentinel and Log Analytics. You'll get to grips with data collection and management, before learning how to create effective Azure Sentinel queries to detect anomalous behaviors and patterns of activity. As you make progress, you'll understand how to develop solutions that automate the responses required to handle security incidents. Finally, you'll grasp the latest developments in security, discover techniques to enhance your cloud security architecture, and explore how you can contribute to the security community. By the end of this book, you'll have learned how to implement Azure Sentinel to fit your needs and be able to protect your environment from cyber threats and other security issues. What you will learn Understand how to design and build a security operations center Discover the key components of a cloud security architecture Manage and investigate Azure Sentinel incidents Use playbooks to automate incident responses Understand how to set up Azure Monitor Log Analytics and Azure Sentinel Ingest data into Azure Sentinel from the cloud and on-premises devices Perform threat hunting in Azure Sentinel Who this book is for This book is for solution architects and system administrators who are responsible for implementing new solutions in their infrastructure. Security analysts who need to monitor and provide immediate security solutions or threat hunters looking to learn how to use Azure Sentinel to investigate possible security br...
    Note: Online resource; Title from title page (viewed April 7, 2020) , Mode of access: World Wide Web.
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  • 9
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (412 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore various constraints and challenges that embedded developers encounter in their daily tasks and learn how to build effective programs using the latest standards of C++ Key Features Get hands-on experience in developing a sample application for an embedded Linux-based system Explore advanced topics such as concurrency, real-time operating system (RTOS), and C++ utilities Learn how to test and debug your embedded applications using logs and profiling tools Book Description Developing applications for embedded systems may seem like a daunting task as developers face challenges related to limited memory, high power consumption, and maintaining real-time responses. This book is a collection of practical examples to explain how to develop applications for embedded boards and overcome the challenges that you may encounter while developing. The book will start with an introduction to embedded systems and how to set up the development environment. By teaching you to build your first embedded application, the book will help you progress from the basics to more complex concepts, such as debugging, logging, and profiling. Moving ahead, you will learn how to use specialized memory and custom allocators. From here, you will delve into recipes that will teach you how to work with the C++ memory model, atomic variables, and synchronization. The book will then take you through recipes on inter-process communication, data serialization, and timers. Finally, you will cover topics such as error handling and guidelines for real-time systems and safety-critical systems. By the end of this book, you will have become proficient in building robust and secure embedded applications with C++. What you will learn Get to grips with the fundamentals of an embedded system Understand how to optimize code for the targeted hardware platforms Explore cross-compilation, build types, and remote debugging Discover the importance of logging for debugging and root cause analysis of failures Uncover concepts such as interrupt service routine, memory model, and ring buffer Recognize the need for custom memory management in embedded systems Delve into static code analyzers and tools to improve code quality Who this book is for This book is for developers, electronic hardware professionals, and software and system-on-chip engineers who want to build effective embedded programs in C++. Familiarity with the C++ programming language is expected, but no previous knowledge of embedded ...
    Note: Online resource; Title from title page (viewed April 17, 2020) , Mode of access: World Wide Web.
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  • 10
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800566668
    Language: English
    Pages: 1 online resource (1 video file, approximately 18 hr., 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Learn the new C++ 11, 14, and 17 features with the most comprehensive C++ tutorial About This Video Become proficient in modern C++ (C++11/14/17) Explore different STL components and create amazing applications Understand both old and new C++ concepts In Detail In this course, you will explore C++ and get to grips with the modern features introduced in C++11, 14, and 17. C++ is a general-purpose programming language developed by Bjarne Stroustrup in 1979, and it still is one of the most popular programming languages used for creating high-performance applications across a wide variety of domains and platforms. This course will help you learn C++ as an object-oriented language with modern features, covering both old and new C++ concepts with clear examples. You will start with basic language features that were used to build complex programs, including classes, operator overloading, composition, inheritance, polymorphism, templates, and concurrency. The course will then delve into the assembly to help you understand concepts better.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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  • 11
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (576 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: New edition of the bestselling guide to mastering Python Networking, updated to Python 3 and including the latest on network data analysis, Cloud Networking, Ansible 2.8, and new libraries Key Features Explore the power of Python libraries to tackle difficult network problems efficiently and effectively, including pyATS, Nornir, and Ansible 2.8 Use Python and Ansible for DevOps, network device automation, DevOps, and software-defined networking Become an expert in implementing advanced network-related tasks with Python 3 Book Description Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering Python Networking, Third edition, you'll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks. This new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it includes updates on using newer libraries such as pyATS and Nornir, as well as Ansible 2.8. Each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding of the concepts. Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security followed by Azure and AWS Cloud networking. Finally, you will use Jenkins for continuous integration as well as testing tools to verify your network. What you will learn Use Python libraries to interact with your network Integrate Ansible 2.8 using Python to control Cisco, Juniper, and Arista network devices Leverage existing Flask web frameworks to construct high-level APIs Learn how to build virtual networks in the AWS & Azure Cloud Learn how to use Elastic Stack for network data analysis Understand how Jenkins can be used to automatically deploy changes in your network Use PyTest and Unittest for Test-Driven Network Development in networking engineering with Python Who this book is for Mastering Python Networking, Third edition ...
    Note: Online resource; Title from title page (viewed January 30, 2020) , Mode of access: World Wide Web.
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  • 12
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789618846
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Add superior end-to-end security to your network using Metasploit About This Video Gain the skills to carry out penetration testing in complex and highly-secured environments Get equipped with the Metasploit framework, exploit and generate modules for a variety of real-world scenarios Practical guide to understand and implement new useful methods and techniques to make your network robust and resilient In Detail Metasploit is a platform for testing, executing, and exploiting computer systems using a modular framework. It is used to create security testing tools and exploit modules and also as a penetration testing system. In this course, you will use a powerful VM called Metasploitable which is a vulnerable version of Linux for Metasploit. You will begin with setting up of the Metasploit architecture and get familiar with Meterpreter commands, and using these to launch payloads and interact with exploited systems. You will use Metasploit as a vulnerability scanner, leveraging tools such as NMap and Nessus and then work on real-world sophisticated scenarios in which performing penetration tests is a challenge. You will go on a journey through client-side and server-side attacks using Metasploit and various scripts built on the Metasploit framework. Then you will establish foothold on the network by staying hidden, and pivoting to other systems. Finally, you will carry out a cyber attack using Armitage, a GUI-based tool. By the end of the course, you will get well versed with Metasploit modules, exploiting systems, carrying out breaches, as well as building and porting exploits of various kinds in Metasploit. There is something for everyone from the beginner to experienced practitioner looking to broaden their knowledge. No prior knowledge of Metasploit is assumed.
    Note: Online resource; Title from title screen (viewed January 21, 2020) , Mode of access: World Wide Web.
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  • 13
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (306 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Perform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications Key Features Explore the potential of computer vision with Raspberry Pi and Python programming Perform computer vision tasks such as image processing and manipulation using OpenCV and Raspberry Pi Discover easy-to-follow examples and screenshots to implement popular computer vision techniques and applications Book Description Raspberry Pi is one of the popular single-board computers of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on Raspberry Pi. This updated second edition is packed with cutting-edge examples and new topics, and covers the latest versions of key technologies such as Python 3, Raspberry Pi, and OpenCV. This book will equip you with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects. At the start, you'll learn the basics of Python 3, and the fundamentals of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques and algorithms in image processing, manipulation, and computer vision. By working through the steps in each chapter, you'll understand essential OpenCV features. Later sections will take you through creating graphical user interface (GUI) apps with GPIO and OpenCV. You'll also learn to use the new computer vision library, Mahotas, to perform various image processing operations. Finally, you'll explore the Jupyter Notebook and how to set up a Windows computer and Ubuntu for computer vision. By the end of this book, you'll be able to confidently build and deploy computer vision apps. What you will learn Set up a Raspberry Pi for computer vision applications Perform basic image processing with libraries such as NumPy, Matplotlib, and OpenCV Demonstrate arithmetical, logical, and other operations on images Work with a USB webcam and the Raspberry Pi Camera Module Implement low-pass and high-pass filters and understand their applications in image processing Cover advanced techniques such as histogram equalization and morphological transformations Create GUI apps with Python 3 and OpenCV Perform machine learning with K-means clustering and image quantization Who this book is for This book is...
    Note: Online resource; Title from title page (viewed June 29, 2020) , Mode of access: World Wide Web.
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  • 14
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838983123
    Language: English
    Pages: 1 online resource (642 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get up to speed with expert tips and techniques to help you prepare effectively for the MS-500 Exam Key Features Get the right guidance and discover techniques to improve the effectiveness of your studying and prepare for the exam Explore a wide variety of strategies for security and compliance Gain knowledge that can be applied in real-world situations Book Description The Microsoft 365 Security Administration (MS-500) exam is designed to measure your ability to perform technical tasks such as managing, implementing, and monitoring security and compliance solutions for Microsoft 365 environments. This book starts by showing you how to configure and administer identity and access within Microsoft 365. You will learn about hybrid identity, authentication methods, and conditional access policies with Microsoft Intune. Next, the book shows you how RBAC and Azure AD Identity Protection can be used to help you detect risks and secure information in your organization. You will also explore concepts, such as Advanced Threat Protection, Windows Defender ATP, and Threat Intelligence. As you progress, you will learn about additional tools and techniques to configure and manage Microsoft 365, including Azure Information Protection, Data Loss Prevention, and Cloud App Discovery and Security. The book also ensures you are well prepared to take the exam by giving you the opportunity to work through a mock paper, topic summaries, illustrations that briefly review key points, and real-world scenarios. By the end of this Microsoft 365 book, you will be able to apply your skills in the real world, while also being well prepared to achieve Microsoft certification. What you will learn Get up to speed with implementing and managing identity and access Understand how to employ and manage threat protection Get to grips with managing governance and compliance features in Microsoft 365 Explore best practices for effective configuration and deployment Implement and manage information protection Prepare to pass the Microsoft exam and achieve certification with the help of self-assessment questions and a mock exam Who this book is for This Microsoft certification book is designed to help IT professionals, administrators, or anyone looking to pursue a career in security administration by becoming certified with Microsoft's role-based qualification. Those trying to validate their skills and improve their competitive advantage with Microsoft 365 Security Administration will...
    Note: Online resource; Title from title page (viewed June 19, 2020) , Mode of access: World Wide Web.
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  • 15
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839217357
    Language: English
    Pages: 1 online resource (388 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn RPA by building business solutions such as ERP and CRM automation, software robots, and intelligent process automation from scratch Key Features Use popular RPA tools Automation Anywhere A2019 and UiPath, for real-world task automation Build automation solutions for domains such as System Administration, Finance, HR, Supply Chain, and Customer Relations Extend your RPA capabilities by implementing Intelligent process automation with APIs and AI Book Description Robotic Process automation helps businesses to automate monotonous tasks that can be performed by machines. This project-based guide will help you progress through easy to more advanced RPA projects. You'll learn the principles of RPA and how to architect solutions to meet the demands of business automation, along with exploring the most popular RPA tools - UiPath and Automation Anywhere. In the first part, you'll learn how to use UiPath by building a simple helpdesk ticket system. You'll then automate CRM systems by integrating Excel data with UiPath. After this, the book will guide you through building an AI-based social media moderator using Google Cloud Vision API. In the second part, you'll learn about Automation Anywhere's latest Cloud RPA platform (A2019) by creating projects such as an automated ERP administration system, an AI bot for order and invoice processing, and an automated emergency notification system for employees. Later, you'll get hands-on with advanced RPA tasks such as invoking APIs, before covering complex concepts such as Artificial Intelligence (AI) and machine learning in automation to take your understanding of RPA to the next level. By the end of the book, you'll have a solid foundation in RPA with experience in building real-world projects. What you will learn Explore RPA principles, techniques, and tools using an example-driven approach Understand the basics of UiPath by building a helpdesk ticket generation system Automate read and write operations from Excel in a CRM system using UiPath Build an AI-based social media moderator platform using Google Cloud Vision API with UiPath Explore how to use Automation Anywhere by building a simple sales order processing system Build an automated employee emergency reporting system using Automation Anywhere Test your knowledge of building an automated workflow through fun exercises Who this book is for This RPA book is for enterprise application developers, software developers, business analysts, or any profess...
    Note: Online resource; Title from title page (viewed May 26, 2020) , Mode of access: World Wide Web.
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  • 16
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (294 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore MicroPython through a series of hands-on projects and learn to design and build your own embedded systems using the MicroPython Pyboard, ESP32, the STM32 IoT Discovery kit, and the OpenMV camera module. Key Features Delve into MicroPython Kernel and learn to make modifications that will enhance your embedded applications Design and implement drivers to interact with a variety of sensors and devices Build low-cost projects such as DIY automation and object detection with machine learning Book Description With the increasing complexity of embedded systems seen over the past few years, developers are looking for ways to manage them easily by solving problems without spending a lot of time on finding supported peripherals. MicroPython is an efficient and lean implementation of the Python 3 programming language, which is optimized to run on microcontrollers. MicroPython Projects will guide you in building and managing your embedded systems with ease. This book is a comprehensive project-based guide that will help you build a wide range of projects and give you the confidence to design complex projects spanning new areas of technology such as electronic applications, automation devices, and IoT applications. While building seven engaging projects, you'll learn how to enable devices to communicate with each other, access and control devices over a TCP/IP socket, and store and retrieve data. The complexity will increase progressively as you work on different projects, covering areas such as driver design, sensor interfacing, and MicroPython kernel customization. By the end of this MicroPython book, you'll be able to develop industry-standard embedded systems and keep up with the evolution of the Internet of Things. What you will learn Develop embedded systems using MicroPython Build a custom debugging tool to visualize sensor data in real-time Detect objects using machine learning and MicroPython Discover how to minimize project costs and reduce development time Get to grips with gesture operations and parsing gesture data Learn how to customize and deploy the MicroPython kernel Explore the techniques for scheduling application tasks and activities Who this book is for If you are an embedded developer or hobbyist looking to build interesting projects using MicroPython, this book is for you. A basic understanding of electronics and Python is required while some MicroPython experience will be helpful.
    Note: Online resource; Title from title page (viewed April 17, 2020) , Mode of access: World Wide Web.
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  • 17
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838825164
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to work with the most popular network analysis tool! About This Video Learn to capture and analyze HTTP, FTP, DNS, DHCP, ARP, SMTP and ICMP traffic Analyze and troubleshoot network threats before they cause any harm to your network Deep packet inspection and analysis In Detail Wireshark is an open-source network protocol analyzer. It is the world's leading packet analyzer when it comes to analysis, troubleshooting, development, and other security-related tasks. Wireshark 3 comes with interesting features designed to make things easier and smoother for developers, sysadmins, and security analysts. This practical and hands-on course will be your perfect guide and will help you gain real-world practical knowledge about network analysis with Wireshark 3. You will begin with a quick introduction to Wireshark, network protocols, and OSI layers. Then learn to understand how Wireshark works and its important functionalities. You will master dedicated Wireshark tools such as capture tools, tracing tools, traffic generators, and more. Then become familiar with the new features that Wireshark 3 has to offer, how they differ from previous ones, and how they can benefit you as a user. In a step-by-step manner you'll learn how to analyze your network, through clear examples and hands-on activities. Specifically, you will learn how to analyze data, identify glitches, capture web traffic, and will cover topics such as packet analysis, IP filtering, and protocol filters. You will also learn how to secure your network with Wireshark 3 and how to use its command-line tools effectively. Finally, cover techniques that will help you troubleshoot your communications network. By the end of the course, you will feel confident about using Wireshark 3 for your day-to-day network analysis tasks.
    Note: Online resource; Title from title screen (viewed April 28, 2020) , Mode of access: World Wide Web.
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  • 18
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (380 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter Key Features Work through projects covering mobile vision, style transfer, speech processing, and multimedia processing Cover interesting deep learning solutions for mobile Build your confidence in training models, performance tuning, memory optimization, and neural network deployment through every project Book Description Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more. With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS, and Android. This will help you to transform deep learning features into robust mobile apps efficiently. You'll get hands-on experience of selecting the right deep learning architectures and optimizing mobile deep learning models while following an application oriented-approach to deep learning on native mobile apps. We will later cover various pre-trained and custom-built deep learning model-based APIs such as machine learning (ML) Kit through Firebase. Further on, the book will take you through examples of creating custom deep learning models with TensorFlow Lite. Each project will demonstrate how to integrate deep learning libraries into your mobile apps, right from preparing the model through to deployment. By the end of this book, you'll have mastered the skills to build and deploy deep learning mobile applications on both iOS and Android. What you will learn Create your own customized chatbot by extending the functionality of Google Assistant Improve learning accuracy with the help of features available on mobile devices Perform visual recognition tasks using image processing Use augmented reality to generate captions for a camera feed Authenticate users and create a mechanism to identify rare and suspicious user interactions Develop a chess engine based on deep reinforcement learning Explore the concepts and methods involved in rolling out production-ready deep learning iOS and Android applications Who this book is for This book is for data scientists, deep learning and computer vision engineers, and natu...
    Note: Online resource; Title from title page (viewed April 6, 2020) , Mode of access: World Wide Web.
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  • 19
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838827069
    Language: English
    Pages: 1 online resource (430 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key Features Gain a fundamental understanding of advanced computer vision and neural network models in use today Cover tasks such as low-level vision, image classification, and object detection Develop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkit Book Description Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you'll learn to use visual search methods using transfer learning. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks. What you will learn Explore methods of feature extraction and image retrieval and visualize different layers of the neural network model Use TensorFlow for various visual search methods for real-world scenarios Build neural networks or adjust parameters to optimize the performance of models Understand TensorFlow DeepLab to perform semantic segmentation on images and DCGAN for image inpainting Evaluate your model and optimize and integrate it into your application to operate at scale Get up to speed with techniques for performing manual and automated image annotation Who this book is for This book is for computer vision professionals, image processing professionals, machine le...
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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  • 20
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789535143
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine Learning techniques for solving major financial issues About This Video Sets a foundation of what to follow by teaching visualization and exploratory analysis of financial data, the typical features like RSI and moving average. Predict stock prices by using Machine Learning models like Linear Regression, Random Forest, XGBoost and neural networks. Use modern portfolio theory, Sharpe ratio, investment simulation, and machine learning to create a rewarding portfolio of stock investments. In Detail Machine Learning for Finance is a perfect course for financial professionals entering the fintech domain. It shows how to solve some of the most common and pressing issues facing institutions in the financial industry, from retail banks to hedge funds. This video course focuses on Machine Learning and covers a range of analysis tools, such as NumPy, Matplotlib, and Pandas. It is packed full of hands-on code simulating many of the problems and providing working solutions. This course aims to build your confidence and the experience to go ahead and tackle real-life problems in financial analysis. The industry is adopting automatic, data-driven algorithms at a rapid pace, and Machine Learning for Finance gives you the skills you need to be at the forefront. By the end of this course, you will be equipped with all the tools from the world of Finance, machine learning and deep learning essential for tackling all these pressing issues in the area of Fintech.
    Note: Online resource; Title from title screen (viewed April 23, 2020) , Mode of access: World Wide Web.
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  • 21
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800562431
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn modern JavaScript and its fundamentals from scratch About This Video Become a confident JavaScript developer by learning how to read, write, and code in JavaScript Develop a solid understanding of JavaScript fundamentals Create dynamic web pages and projects using JavaScript In Detail This course will guide you on your journey to becoming a confident JavaScript developer by equipping you with the right techniques and knowledge of essential concepts. You will learn how to write JavaScript, along with understanding its application and how to execute it. Progressing through the sections, you'll work with the JavaScript syntax and also discover ways to easily debug JavaScript code. One of the main reasons why JavaScript is so popular is because of its ability to interact with a web page. In this course, you will learn how to accept user input, change how a page looks, and take action based on the user's action. Specific videos will also teach you about the different data types and how to use them. In addition to this, you'll delve into numbers, strings, floats, functions, undefined, and null, along with understanding their importance. The course also features a dedicated section for objects, classes, and object-oriented programming (OOP), along with covering concepts such as hoisting, closures, promises, and block scoping. Finally, you'll get to grips with topics such as APIs and Ajax requests. By the end of this course, you will be well-versed with modern JavaScript and have the skills you need to write effective JavaScript code.
    Note: Online resource; Title from title screen (viewed April 29, 2020) , Mode of access: World Wide Web.
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  • 22
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789345063
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Create powerful applications for the modern web using ASP.NET Core 3 About This Video Go from a beginner to creating your own ASP.NET Core application Grasp MVC Core concepts and design dynamic web pages Program your ASP.NET Core applications with this easy and friendly guide In Detail Have you ever wanted to learn how to build an ASP.NET Core application from scratch? In this course, you'll learn the fundamentals of ASP.NET Core 3 and start building your first ASP.NET Core application with the MVC framework. ASP.NET is an open-source, server-side web application framework designed to boost your web development skills so you can produce dynamic web pages. This course will teach you ASP.NET Core 3 coding methodologies in unique and enticing ways. You will get hands-on training each day followed by a quiz that you can implement as an assignment. You will learn about ASP.NET Core 3 and develop your applications effectively. Each section will teach you to achieve a certain ASP.NET Core 3 goal with unique and intuitive examples. This course provides seven self-contained lessons and each is taught via a practical, hands-on approach. By the end of the course, you will be able to build your own powerful application using ASP.NET Core 3.
    Note: Online resource; Title from title screen (viewed June 17, 2020) , Mode of access: World Wide Web.
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  • 23
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800565708
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build a stunning cinematic 3D animation scene from start to finish in Unreal Engine 4 About This Video Explore the Exile Alien character, along with 28 motion capture animations Focus on Genesis 2 Male and Female characters Delve into setting up a scene, complete with sci-fi spaceship interiors In Detail Unreal Engine 4 (UE4) has emerged as a leading resource in the creation of games, animations, television shows, and illustrations. This course will help you animate your character in UE4 easily. It features all the required scene files and even makes it easy for you to just drag and drop your character in the scene to make it ready to go. The course will take you through the essential steps that need to be taken for the character to be able to accept motion capture animations in Mixamo and then get imported into Unreal Engine. Even though Mixamo discontinued direct support for Unreal Engine, the following method works by exporting standard FBX from Mixamo to UE4 - You'll upload your character to Adobe Mixamo and add motion capture animations. All you need to do is click on the animated preview and it will be applied to your character. As you hit play, the animation begins, being rendered in real-time. You can adjust the speed of the animation and other aspects too. As your character will not already have its materials or textures applied, you'll be able to do that in UE4. You'll find 28 animated aliens, ready for you to drag and drop into your Unreal Engine scene for instant animations. Next, you'll work with the Unreal Engine Sequencer, which is similar to a non-linear editor. You will set up your scene, complete with spaceship interiors, Exile Alien characters, lights, smoke effects, and cameras, and get it ready for animation. As you progress, you will export your movie in high definition in real-time. No longer will it take hours or days to render a single frame; it will be entirely possible to complete even a 2-hour feature film in 120 days using UE4. Toward the end, you will take your rendered video file and bring it to HitFilm Express, or your favorite video editing program, where you will add color grading, music, and sound effects, and fine-tune your edits to prepare the scene for final output. By the end of this course, you will have completed your own animation scene, and have a solid understanding of Unreal Engine's animation workflow.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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  • 24
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800203419
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 30 min.)
    Edition: 2nd edition
    Keywords: Electronic videos ; local
    Abstract: Combine a variety of data to gain meaningful insights, and visualize information using stunning dashboards. About This Video Learn how to upload your data, model it, and then create interactive dashboards to analyze and present information effectively to your audience Familiarize yourself with the tools and terminologies of dashboard creation using IBM Cognos Analytics Elaborate explanation of data modelling and building data modules from scratch Learn advanced techniques like Maps, Predictive Forecasting, and Data Security In Detail Cognos Analytics v11.1 R5 is the latest version of IBM Cognos Analytics. Its cloud version is now within the reach of individuals and small enterprises. Cognos Analytics is popular with big organizations, such as banks and pharmaceutical companies, as their enterprise tool for reporting and analytics. Since the launch of Cognos Analytics v11, IBM has added several important new features, this course aims to covers all the latest features added to v11.1 R5. It focuses on the Dashboard Tool, and is suitable for end-users (who are simply consumers of data and need to analyze it and create dashboards for consumption) to IT developers who deliver high-quality reporting solutions. Cognos Analytics v11.1 R5 is a next-generation, sleek, unified tool that provides end-users, power-users, and IT professional with a fast, intent-driven dashboard and a report-authoring interface on top of the strong foundation that IBM Cognos has supplied over decades.
    Note: Online resource; Title from title screen (viewed May 19, 2020) , Mode of access: World Wide Web.
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  • 25
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (824 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Revised and updated second edition of the bestselling hands-on guide to building enterprise-ready web apps using an evergreen Angular platform Key Features Updated examples, projects, and a new overview of tools - including NgRX and Ivy, automated testing, and Firebase authentication New chapter summarizing history of web frameworks and Angular version updates All-new RESTful API implementation leveraging the MEAN stack with MongoDB, Express.js, Angular and Node.js Book Description This second edition of Angular for Enterprise-Ready Web Applications is updated with in-depth coverage of the evergreen Angular platform. You'll start by mastering Angular programming fundamentals. Using the Kanban method and GitHub tools, you'll build great-looking apps with Angular Material and also leverage reactive programming patterns with RxJS, discover the flux pattern with NgRx, become familiar with automated testing, utilize continuous integration using CircleCI, and deploy your app to the cloud using Vercel Now and GCloud. You will then learn how to design and develop line-of-business apps using router-first architecture with observable data anchors, demonstrated through oft-used recipes like master/detail views, and data tables with pagination and forms. Next, you'll discover robust authentication and authorization design demonstrated via integration with Firebase, API documentation using Swagger, and API implementation using the MEAN stack. Finally, you will learn about DevOps using Docker, build a highly available cloud infrastructure on AWS, capture user behavior with Google Analytics, and perform load testing. By the end of the book, you'll be familiar with the entire gamut of modern web development and full-stack architecture, learning patterns and practices to be successful as an individual developer on the web or as a team in the enterprise. What you will learn Adopt a minimalist, value-first approach to delivering web apps Master Angular development fundamentals, RxJS, CLI tools, GitHub, and Docker Discover the flux pattern and NgRx Implement a RESTful APIs using Node.js, Express.js, and MongoDB Create secure and efficient web apps for any cloud provider or your own servers Deploy your app on highly available cloud infrastructure using DevOps, CircleCI, and AWS Who this book is for This book is for developers who want to confidently deliver high-quality and production-grade Angular apps from design to deployment. Developers that have prior experie...
    Note: Online resource; Title from title page (viewed May 29, 2020) , Mode of access: World Wide Web.
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  • 26
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789959161
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get to grips with TensorFlow 2.0 and scikit-learn About This Video Embark on your ML journey using the best machine learning practices and the powerful features of TensorFlow 2.0 and scikit-learn Learn to work with unstructured data, images, and noisy text input, and implement the latest Natural Language Processing models and methods Explore supervised and unsupervised algorithms and put them into practice using mini implementation projects as a basis for real-world applications In Detail Have you been looking for a course that teaches you effective machine learning in scikit-learn and TensorFlow 2.0? Or have you always wanted an efficient and skilled working knowledge of how to solve problems that can't be explicitly programmed through the latest machine learning techniques? If you're familiar with pandas and NumPy, this course will give you up-to-date and detailed knowledge of all practical machine learning methods, which you can use to tackle most tasks that cannot easily be explicitly programmed; you'll also be able to use algorithms that learn and make predictions or decisions based on data. The theory will be underpinned with plenty of practical examples, and code example walk-throughs in Jupyter notebooks. The course aims to make you highly efficient at constructing algorithms and models that perform with the highest possible accuracy based on the success output or hypothesis you've defined for a given task. By the end of this course, you will be able to comfortably solve an array of industry-based machine learning problems by training, optimizing, and deploying models into production. Being able to do this effectively will allow you to create successful prediction and decisions for the task in hand (for example, creating an algorithm to read a labeled dataset of handwritten digits).
    Note: Online resource; Title from title screen (viewed June 30, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839214110
    Language: English
    Pages: 1 online resource (660 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Learn proven patterns, techniques, and tricks to take full advantage of the Node.js platform. Master well-known design principles to create applications that are readable, extensible, and that can grow big. Key Features Learn how to create solid server-side applications by leveraging the full power of Node.js 14 Understand how Node.js works and learn how to take full advantage of its core components as well as the solutions offered by its ecosystem Avoid common mistakes and use proven patterns to create production grade Node.js applications Book Description In this book, we will show you how to implement a series of best practices and design patterns to help you create efficient and robust Node.js applications with ease. We kick off by exploring the basics of Node.js, analyzing its asynchronous event driven architecture and its fundamental design patterns. We then show you how to build asynchronous control flow patterns with callbacks, promises and async/await. Next, we dive into Node.js streams, unveiling their power and showing you how to use them at their full capacity. Following streams is an analysis of different creational, structural, and behavioral design patterns that take full advantage of JavaScript and Node.js. Lastly, the book dives into more advanced concepts such as Universal JavaScript, scalability and messaging patterns to help you build enterprise-grade distributed applications. Throughout the book, you'll see Node.js in action with the help of several real-life examples leveraging technologies such as LevelDB, Redis, RabbitMQ, ZeroMQ, and many others. They will be used to demonstrate a pattern or technique, but they will also give you a great introduction to the Node.js ecosystem and its set of solutions. What you will learn Become comfortable with writing asynchronous code by leveraging callbacks, promises, and the async/await syntax Leverage Node.js streams to create data-driven asynchronous processing pipelines Implement well-known software design patterns to create production grade applications Share code between Node.js and the browser and take advantage of full-stack JavaScript Build and scale microservices and distributed systems powered by Node.js Use Node.js in conjunction with other powerful technologies such as Redis, RabbitMQ, ZeroMQ, and LevelDB Who this book is for This book is for developers and software architects who have some prior basic knowledge of JavaScript and Node.js and now want to get the most out o...
    Note: Online resource; Title from title page (viewed July 29, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (364 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key Features Understand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networks Learn the mathematical concepts needed to understand how deep learning models function Use deep learning for solving problems related to vision, image, text, and sequence applications Book Description Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models. You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you'll explore CNN, recurrent neural network (RNN), and GAN models and their application. By the end of this book, you'll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in DL. What you will learn Understand the key mathematical concepts for building neural network models Discover core multivariable calculus concepts Improve the performance of deep learning models using optimization techniques Cover optimization algorithms, from basic stochastic gradient descent (SGD) to the advanced Adam optimizer Understand computational graphs and their importance in DL Explore the backpropagation algorithm to reduce output error Cover DL algorithms such as convolutional neural networks (CNNs), sequence models, and generative adversarial networks (GANs) Who this book is for This book is for data scientists, machine learning developers, aspiring deep learning developers, or anyone who wants to understand the foundation of deep learning by l...
    Note: Online resource; Title from title page (viewed June 12, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838989750
    Language: English
    Pages: 1 online resource (358 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific libraries Key Features Compute complex mathematical problems using programming logic with the help of step-by-step recipes Learn how to utilize Python's libraries for computation, mathematical modeling, and statistics Discover simple yet effective techniques for solving mathematical equations and apply them in real-world statistics Book Description Python, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain. The book teaches you how to solve problems faced in a wide variety of mathematical fields, including calculus, probability, statistics and data science, graph theory, optimization, and geometry. You'll start by developing core skills and learning about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you advance, you'll get to grips with more advanced topics of calculus, probability, and networks (graph theory). After you gain a solid understanding of these topics, you'll discover Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code. By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science. What you will learn Get familiar with basic packages, tools, and libraries in Python for solving mathematical problems Explore various techniques that will help you to solve computational mathematical problems Understand the core concepts of applied mathematics and how you can apply them in computer science Discover how to choose the most suitable package, tool, or technique to solve a certain problem Implement basic mathematical plotting, change plot styles, and add labels to the plots using Matplotlib Get to grips with probability theory with the Bayesian inference and Markov Chain Mo...
    Note: Online resource; Title from title page (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 30
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789801217
    Language: English
    Pages: 1 online resource (382 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms, such as sorting and searching, to modern algorithms used in machine learning and cryptography Key Features Learn the techniques you need to know to design algorithms for solving complex problems Become familiar with neural networks and deep learning techniques Explore different types of algorithms and choose the right data structures for their optimal implementation Book Description Algorithms have always played an important role in both the science and practice of computing. Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works. You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms. What you will learn Explore existing data structures and algorithms found in Python libraries Implement graph algorithms for fraud detection using network analysis Work with machine learning algorithms to cluster similar tweets and process Twitter data in real time Predict the weather using supervised learning algorithms Use neural networks for object detection Create a recommendation engine that suggests relevant movies to subscribers Implement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform (GCP) Who this book is for This book is for the serious programmer! Whether you are an experienced programmer looking to gain a deeper u...
    Note: Online resource; Title from title page (viewed June 12, 2020) , Mode of access: World Wide Web.
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  • 31
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (252 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cyber Minds brings together an unrivalled panel of international experts who offer their insights into current cybersecurity issues in the military, business, and government. Key Features Explore the latest developments in cybersecurity Hear expert insight from the industry's top practitioners Dive deep into cyber threats in business, government, and military Book Description Shira Rubinoff's Cyber Minds brings together the top authorities in cybersecurity to discuss the emergent threats that face industries, societies, militaries, and governments today. With new technology threats, rising international tensions, and state-sponsored cyber attacks, cybersecurity is more important than ever. Cyber Minds serves as a strategic briefing on cybersecurity and data safety, collecting expert insights from sector security leaders, including: General Gregory Touhill, former Federal Chief Information Security Officer of the United States Kevin L. Jackson, CEO and Founder, GovCloud Mark Lynd, Digital Business Leader, NETSYNC Joseph Steinberg, Internet Security advisor and thought leader Jim Reavis, Co-Founder and CEO, Cloud Security Alliance Dr. Tom Kellerman, Chief Cybersecurity Officer for Carbon Black Inc and Vice Chair of Strategic Cyber Ventures Board Mary Ann Davidson, Chief Security Officer, Oracle Dr. Sally Eaves, Emergent Technology CTO, Global Strategy Advisor - Blockchain AI FinTech, Social Impact award winner, keynote speaker and author Dr. Guenther Dobrauz, Partner with PwC in Zurich and Leader of PwC Legal Switzerland Barmak Meftah, President, ATamp;T Cybersecurity Cleve Adams, CEO, Site 1001 (AI and big data based smart building company) Ann Johnson, Corporate Vice President - Cybersecurity Solutions Group, Microsoft Barbara Humpton, CEO, Siemens USA Businesses and states depend on effective cybersecurity. This book will help you to arm and inform yourself on what you need to know to keep your business - or your country - safe. What you will learn The threats and opportunities presented by AI How to mitigate social engineering and other human threats Developing cybersecurity strategies for the cloud Major data breaches, their causes, consequences, and key takeaways Blockchain applications for cybersecurity Implications of IoT and how to secure IoT services The role of security in cyberterrorism and state-sponsored cyber attacks Who this book is for This book is essential reading for business leaders, the C-Suite, board members, IT decision m...
    Note: Online resource; Title from title page (viewed January 13, 2020) , Mode of access: World Wide Web.
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  • 32
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (548 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get the most out of JavaScript for building web applications through a series of patterns, techniques, and case studies for clean coding Key Features Write maintainable JS code using internal abstraction, well-written tests, and well-documented code Understand the agents of clean coding like SOLID principles, OOP, and functional programming Explore solutions to tackle common JavaScript challenges in building UIs, managing APIs, and writing states Book Description Building robust apps starts with creating clean code. In this book, you'll explore techniques for doing this by learning everything from the basics of JavaScript through to the practices of clean code. You'll write functional, intuitive, and maintainable code while also understanding how your code affects the end user and the wider community. The book starts with popular clean-coding principles such as SOLID, and the Law of Demeter (LoD), along with highlighting the enemies of writing clean code such as cargo culting and over-management. You'll then delve into JavaScript, understanding the more complex aspects of the language. Next, you'll create meaningful abstractions using design patterns, such as the Class Pattern and the Revealing Module Pattern. You'll explore real-world challenges such as DOM reconciliation, state management, dependency management, and security, both within browser and server environments. Later, you'll cover tooling and testing methodologies and the importance of documenting code. Finally, the book will focus on advocacy and good communication for improving code cleanliness within teams or workplaces, along with covering a case study for clean coding. By the end of this book, you'll be well-versed with JavaScript and have learned how to create clean abstractions, test them, and communicate about them via documentation. What you will learn Understand the true purpose of code and the problems it solves for your end-users and colleagues Discover the tenets and enemies of clean code considering the effects of cultural and syntactic conventions Use modern JavaScript syntax and design patterns to craft intuitive abstractions Maintain code quality within your team via wise adoption of tooling and advocating best practices Learn the modern ecosystem of JavaScript and its challenges like DOM reconciliation and state management Express the behavior of your code both within tests and via various forms of documentation Who this book is for This book is for anyone who writ...
    Note: Online resource; Title from title page (viewed January 20, 2020) , Mode of access: World Wide Web.
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  • 33
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838550103
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Enable security as part of your AWS architecture and prepare your response to security events like a security professional. About This Video Covers specialized data classifications, data encryption methods, AWS security services, and mechanisms you can use to implement them and secure your production environment Make security operations and business-risk trade-off decisions with regards to cost, security, and deployment complexity when given a set of application requirements Covers domains including Incident Response, Logging and Monitoring, Infrastructure Security, Identity and Access Management, and Data Protection In Detail The AWS Certified Security - Specialty certification gives AWS architects not only essential know-how, but also a strong foundation on which to build security into AWS architectures at every level. This course will teach you to apply security at all AWS layers, including encrypting and protecting data at rest and in transit and how to prepare for (and respond to) security events. In this course, you'll learn how to secure your data and your AWS services/resources at multiple levels using a defense-in-depth approach. You'll learn how to protect your AWS credentials and resources using Identity and Access Management. You'll capture and analyze logs using CloudTrail, CloudWatch, and Athena. Finally, you'll learn how to implement network and instance security, encrypt data at rest and in transit and set up data backup, replication, and recovery. By the end of this course, you'll be ready to control access to your AWS resources granularly. You will develop the skills to ace the exam for the Security Solutions certification. If you're a cloud professional wanting to ace the AWS Certified Security - Specialty certification, or a cloud professional looking to build security layers into every AWS deployment to protect data at rest and in transit, then this course will be your go-to resource to achieve success.
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 34
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800203297
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Understand how Apache Maven works from the ground up and be a winner with your Java builds About This Video Understand different aspects of how Maven works in a comprehensive set of hands-on videos Appreciate how to use Apache Maven by understanding how it works under the hood Gain valuable practical experience in how to use Apache Maven In Detail In this course, we look at the Maven build tool, which is currently the number-one industry standard for creating Java applications. By concentrating on practical hands-on demonstrations, you'll see first hand how Maven works and from there develop the confidence to be able to use it independently to build your Java projects at home, in college, or in the workplace. This is a beginners' course, although it has some useful content for those already familiar with Maven. But to get the maximum value from the course, you should really be a beginner with the tool. Maybe you've started a new job where they use it to build their applications, or you're learning industry-standard tools to get ahead of the competition. Ultimately, by unlocking the mechanics of how Maven works, you should be able to better build Java projects with the tool and have fun doing so! Please note: You'll need to be familiar with creating simple applications using Java and have an awareness of basic concepts like compilation of Java code, running of a Java class etc., as well as being familiar with using the commandline to run simple commands.
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 35
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800565197
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn HTML and HTML 5 from scratch and get started as a web developer About This Video Develop your skills in creating websites using HTML 5 Learn Advanced HTML concepts such as asset pathing and favicons Work through interesting projects to get hands-on experience in working with HTML In Detail HTML is the structure behind every web page and it's impossible to create a website without using it, including mobile websites and cross-platform compatible HTML 5 applications. This course will guide you through learning HTML 5 effectively in a practical manner, with plenty of examples. You'll begin with an introduction to HTML, before covering different elements, attributes, and doctypes in HTML. Next, you'll get to grips with Internal and Relative links and then go on to understanding the concepts of Block elements and Inline elements. As you progress, you'll gain insights into tables, rows, and cells, and learn how to merge both cells and columns to create an effective page layout. A dedicated section will also focus on Advanced HTML topics, such as Inline CSS and Internal and External CSS files. In addition to this, you'll delve into topics such as meta tags, head elements, favicons, and asset pathing. Finally, the course will help you work through two projects that will give you hands-on experience in working with HTML and designing web pages. By the end of this course, you will be well-versed with HTML and have developed the skills you need to create robust websites.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 36
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789953947
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Hands-on implementation with the power of TensorFlow 2.0 About This Video Refresh your knowledge of CNN with in-depth explanations of how transfer learning works Use transfer learning for both image and text classification, and compare/contrast with the training from scratch approach Learn new features of TensorFlow 2.0, tf.keras, TensorFlow Hub, TensorFlow Model Maker, and on-device training In Detail Transfer learning involves using a pre-trained model on a new problem. It is currently very popular in the field of Deep Learning because it enables you to train Deep Neural Networks with comparatively little data. In Transfer learning, knowledge of an already trained Machine Learning model is applied to a different but related problem. The general idea is to use knowledge, which a model has learned from a task where a lot of labeled training data is available, in a new task where we don't have a lot of data. Instead of starting the learning process from scratch, you start from patterns that have been learned by solving a related task. In this course, learn how to implement transfer learning to solve a different set of machine learning problems by reusing pre-trained models to train other models. Hands-on examples with transfer learning will get you started, and allow you to master how and why it is extensively used in different deep learning domains. You will implement practical use cases of transfer learning in CNN and RNN such as using image classifiers, text classification, sentimental analysis, and much more. You'll be shown how to train models and how a pre-trained model is used to train similar untrained models in order to apply the transfer learning process even further. Allowing you to implement advanced use cases and learn how transfer learning is gaining momentum when it comes to solving real-world problems in deep learning. By the end of this course, you will not only be able to build machine learning models, but have mastered transferring with tf.keras, TensorFlow Hub, and TensorFlow Lite tools.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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  • 37
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800563414
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 5 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Clean code in small steps and explore emerging design patterns such as Interpreter, Fluent Builder, Factory Methods About This Video Practice refactoring in small steps Understand how to achieve clean code Discover how you can reuse design patterns Understand how SOLID principles support refactoring In Detail This course is the first module of the Pyramid of Refactoring series dedicated to achieving clean code.With this course, you'll learn how to manage code cleaning from a technical and organizational perspective and get hands-on with refactoring using the IntelliJ IDE and Java language.Throughout the course, you'll get to grips with refactoring techniques and perform all the changes in real time. You can download the source code and perform all the exercises alongside the trainer step by step. Through a sample project, the course will demonstrate how you can make use of the Interpreter design pattern to guide the process of refactoring your code base. You'll explore Factory Method and Fluent Builder, the two creational design patterns that are a result of the refactoring activities. The course also takes you through SOLID principles in practice to help you learn them quickly. By the end of this course, you'll understand why you should make refactoring a part of your daily software development activities instead of treating it as a separate task.
    Note: Online resource; Title from title screen (viewed July 28, 2020) , Mode of access: World Wide Web.
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  • 38
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839219597
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 13 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Hands-on continuous automation with Chef Automate About This Video Automate daily repetitive tasks in your environment with Chef Learn all the skills you need to implement Infrastructure automation with Chef in your workspace Learn the complete application automation flow lifecycle with Chef InSpec and Habitat In Detail We live in a world of heterogeneous applications and managing them can be quite daunting. Creating, maintaining, and upgrading a scalable infrastructure requires significant effort and resources. Time spent on repetitive daily tasks can consume a big chunk of an IT/system engineer's bandwidth, and using automation tools to manage infrastructure can drastically improve efficiency and free up your time. Chef aims to solve automation across the enterprise, and across functional roles, to provide an environment where we can build, deploy, and manage any software, anywhere. In this course, you will learn to integrate Chef Automate with Chef InSpec and Habitat. This course demonstrates production-grade scenarios for configuring and managing infrastructure and applications. You'll gain proficiency in building, deploying, and managing any application in any environment with Chef Habitat. We cover all key aspects of infrastructure automation, from application lifecycle management to security, compliance, and modernizing legacy applications without replacing them. By the end of this course, you will be able to automate your IT infrastructure and solve everyday problems with Chef.
    Note: Online resource; Title from title screen (viewed May 18, 2020) , Mode of access: World Wide Web.
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  • 39
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839213953
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Step up your network analysis and network forensics skills with Wireshark About This Video Understand advanced TCP/IP network protocol mechanics. Use Wireshark to help troubleshoot dropped packets, latency issues, and malicious activity on your network. Take advantage of PyShark scripts to manage network analysis and perform exploratory data analysis at scale. Use network forensics for security and pre-emptive contingency-planning programming to include remote evidence collection, investigation, analysis, and detailed forensic reporting. In Detail Mastering Wireshark 3 (2nd Edition) will help you gain expertise in securing your network. As you progress through the course, you will discover different and important ways to create, use, capture, and display filters. Learn to master Wireshark's features, analyze different layers of your network protocol, and search for abnormality in your network traffic. The course focuses on packet analysis for security tasks, command-line utilities, and tools that manage trace files. You will delve into analyzing applications aimed primarily at web browsing; master commands that can also be set up and configured to run from the command prompt; and learn to use the new feature in Cisco routers and switches to capture packets directly from devices and mirror (SPAN) ports. Lastly, you'll learn to expand upon the capabilities and functions of Wireshark plugins and APIs and build on your Python skills by using PyShark to modify how Wireshark captures and filters packets. By the end of this course, you'll have learned to customize Wireshark in-depth for network security analysis using commonly used protocols and to configure it effectively for troubleshooting and daily monitoring purposes.
    Note: Online resource; Title from title screen (viewed June 23, 2020) , Mode of access: World Wide Web.
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  • 40
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838828882
    Language: English
    Pages: 1 online resource (252 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn from Ian Neil, one of the world's top CompTIA Security+ trainers in the world, and enhance your analytical skills to pass the CompTIA Security+ SY0-501 exam Key Features Become a pro at answering questions from all six of the domains of the SY0-501 exam Learn about cryptography algorithms, security policies, and their real-world implementations Solve practice tests that complement the official CompTIA Security+ certification exam Book Description CompTIA Security+ is a core security certification that will validate your baseline skills for a career in cybersecurity. Passing this exam will not only help you identify security incidents but will also equip you to resolve them efficiently. This book builds on the popular CompTIA Security+ Certification Guide, which mirrors the SY0-501 exam pattern. This practice test-based guide covers all six domains of the Security+ SY0-501 exam: threats, attacks, and vulnerabilities; technologies and tools; architecture and design; identity and access management; cryptography and PKI; and risk management. You'll take six mock tests designed as per the official Security+ certification exam pattern, each covering significant aspects from an examination point of view. For each domain, the book provides a dedicated cheat sheet that includes important concepts covered in the test. You can even time your tests to simulate the actual exam. These tests will help you identify gaps in your knowledge and discover answers to tricky exam questions. By the end of this book, you'll have developed and enhanced the skills necessary to pass the official CompTIA Security+ exam. What you will learn Understand how prepared you are for the CompTIA Security+ certification Identify different types of security threats, attacks, and vulnerabilities Explore identity and access management in an enterprise environment Protect your business tools and platforms from cyberattacks Create and maintain a secure network Understand how you can protect your data Discover encryption techniques required to protect against various cyber threat scenarios Who this book is for If you are a security administrator, a system or network administrator, or anyone who wants to pass the CompTIA Security+ exam, this book is for you. This book is an ideal resource for students who want a career or degree in cybersecurity or are studying for the CISSP certification exam.
    Note: Online resource; Title from title page (viewed January 10, 2020) , Mode of access: World Wide Web.
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  • 41
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800567320
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get to grips with Java design patterns and write robust and extensible software About This Video Understand interfaces, composition, inheritance, and polymorphism Get up and running with the concepts behind design patterns Learn the different design patterns with the help of real-world examples, code, and slides In Detail If you are an intermediate to advanced Java developer or a developer in any other OOP language and are looking to learn Java design patterns, then this course is for you. It is also tailored for anyone who has working knowledge of Java or OOP knowledge and is looking to delve into the core software development principles - design patterns. This course will help you understand Java design patterns effectively so you can apply what you've learned to your projects. Design patterns are the common denominator you need to learn in order to build effective software and systems that work efficiently. In this course, you will explore the different design patterns, right from the Observer Design Pattern and the Singleton Design Pattern through to the Adapter Design Pattern and Façade Design Pattern. As you progress, you'll understand how to apply these patterns to real-world projects. In addition to this, you'll get to grips with solving different software architecture problems using the patterns. By the end of this book, you will be well-versed with Java design patterns and be able to write efficient and extensible software.
    Note: Online resource; Title from title screen (viewed May 29, 2020) , Mode of access: World Wide Web.
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  • 42
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800205024
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 47 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Use machine learning today without a machine learning background About This Video Quickly get up and running using state-of-the-art machine learning algorithms in your .Net applications Implement machine learning algorithms using real-world data sets, without first learning math Leverage state-of-the-art (TensorFlow, ONNX) models, pre-trained by the tech giants, in your own .Net code In Detail ML.NET enables developers utilize their .NET skills to easily integrate machine learning into virtually any .NET application. This course will teach you how to implement machine learning and build models using Microsoft's new Machine Learning library, ML.NET. You will learn how to leverage the library effectively to build and integrate machine learning into your .NET applications. By taking this course, you will learn how to implement various machine learning tasks and algorithms using the ML.NET library, and use the Model Builder and CLI to build custom models using AutoML. You will load and prepare data to train and evaluate a model; make predictions with a trained model; and, crucially, retrain it. You will cover image classification, sentiment analysis, recommendation engines, and more! You'll also work through techniques to improve model performance and accuracy, and extend ML.NET by leveraging pre-trained TensorFlow models using transfer learning in your ML.NET application and some advanced techniques. By the end of the course, even if you previously lacked existing machine learning knowledge, you will be confident enough to perform machine learning tasks and build custom ML models using the ML.NET library.
    Note: Online resource; Title from title screen (viewed June 24, 2020) , Mode of access: World Wide Web.
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  • 43
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (542 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A handy, on-the-job reference filled with real-life scenarios to help you achieve the Certified Business Analysis Professional (CBAP®) and Certification of Capability in Business Analysis (CCBA®) certifications Key Features Gain expert guidance from Esta Lessing, a CBAP® trainer with over 18 years of business analysis experience Understand BABOK® knowledge areas and tasks through examples and real-world scenarios Learn business analyst skills such as stakeholder engagement, strategy analysis, and requirement elicitation Book Description Certified Business Analysis Professional (CBAP®) is a certification from the International Institute of Business Analysis (IIBA®) for professionals with extensive experience in business analysis. The CCBA® and CBAP® validates your proficiency in various aspects of business analysis and your ability to tackle challenging projects, work effectively with stakeholders, and identify and deliver business value. You'll start by learning about the benefits of CCBA® and CBAP® certifications for your career progression before focussing on the six core knowledge areas explained thoroughly in each chapter. These include topics such as business analysis planning and monitoring, elicitation and collaboration, requirements life cycle management, strategy analysis, requirements analysis, and design definition as well as solution evaluation. The book includes the essential underlying competencies and techniques to ensure a complete understanding of the BABOK® v3 guide content. Each chapter delves into the essential concepts and business analysis task considerations utilizing practical examples. Finally, you'll assess your knowledge through mock exam questions based on real-world case studies. By the end of this book, you'll have gained the business analysis skills needed to prepare for the certification exams and to advance in your career. What you will learn Assess the IIBA® requirements for applying for the CCBA® and CBAP® exams Navigate through the sections of the BABOK® v3 Guide Understand business analysis concepts, practices and analysis techniques Be able to relate concepts, tasks, and techniques to real-world practical situations Understand the application of 50 practical techniques concerning the BABOK® v3 Guide knowledge area tasks Identify the challenges that could hinder a business analyst from delivering value and effective business solutions Who this book is for This book is for business analysts, business consult...
    Note: Online resource; Title from title page (viewed May 22, 2020) , Mode of access: World Wide Web.
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  • 44
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800568846
    Language: English
    Pages: 1 online resource (536 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshop Key Features Discover the essential tools and methods of data visualization Learn to use standard Python plotting libraries such as Matplotlib and Seaborn Gain insights into the visualization techniques of big companies Book Description Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data? The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities. Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you'll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You'll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you've ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you'll use the Bokeh library to create dynamic visualizations that can be integrated into any web page. By the end of this workshop, you'll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data. What you will learn Understand the importance of data visualization in data science Implement NumPy and pandas operations on real-life datasets Create captivating data visualizations using plotting libraries Use advanced techniques to plot geospatial data on a map Integrate interactive visualizations to a webpage Visualize stock prices with Bokeh and analyze Airbnb data with Matplotlib Who this book is for The Data Visualization Workshop is for beginners who want to learn data visualization, as well as developers and data scientists who are looking to enrich their practical data science skills. Prior knowledge of data analytics, data science, and visualization is not mandatory. Knowledge of Python basics and high-scho...
    Note: Online resource; Title from title page (viewed July 28, 2020) , Mode of access: World Wide Web.
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  • 45
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800204126
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Build powerful, reactive, great-looking UI web experiences with this front-end compiler and its framework. About This Video Build modern, real-life, responsive web applications with Svelte by taking advantage of its small footprint (thanks to its compilation step) Develop complex web applications with Sapper, the framework based on Svelte that provides useful and powerful features thus, making developing Svelte apps even easier Learn a web technology (whose popularity is on the rise thanks to its great developer experience and powerful features) to improve your Svelte skills In Detail This course will take you through three core projects to help you build effective, reactive, and attractive apps with Svelte, demonstrating its intrinsic benefits, including less code and impressive reactivity/state management along the way. Our first project, a vCard generator app, will demonstrate the modularity and reactivity web applications you can develop with Svelte. We will build reusable and dynamic components that we will later enhance with more advanced features. Sections on animation and transitions are included to make applications look as good as they perform! Our second project will be a fully functional Kanban board application, similar to Trello. This application will also have effective state management, by making use of stores and other key Svelte features. Our final application will be based on the previous Kanban board application but making use of Sapper, the official Svelte framework. However, we will build this application with Sapper, the official Svelte framework. We will learn how to create web apps with Sapper and master its most useful features, such as routing and prefetching. We will also provide an introduction to testing Sapper applications with Cypress, and we finish the course by deploying our application in two different ways: as a static page, and as an SEO-optimized server-side rendered (SSR) application.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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  • 46
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (798 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Updated and revised second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems Key Features Updated to include new algorithms and techniques Code updated to Python 3.8 & TensorFlow 2.x New coverage of regression analysis, time series analysis, deep learning models, and cutting-edge applications Book Description Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains. You will use all the modern libraries from the Python ecosystem - including NumPy and Keras - to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks. By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios. What you will learn Understand the characteristics of a machine learning algorithm Implement algorithms from supervised, semi-supervised, unsupervised, and RL domains Learn how regression works in time-series analysis and risk prediction Create, model, and train complex probabilistic models Cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work - train, optimize, and validate them Work with autoencoders, Hebbian networks, and GANs Who this book is for This book is for data science professionals who want to delve into complex ML algorithms to understand how various machine learning models can be built. Knowledge of Python programming is required.
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 47
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800205475
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Master Cisco's ACI and become an expert NOW! About This Video This course will help you get from zero to hero and master the policy-driven Data Center approach that ACI offers ACI involves a big learning curve and you'll learn to change your traditional network design mentality, which will be crucial to mastering ACI We will work with ACI APIC version 3.x. which provides the current SDN feature set you need to perform all data center functions and requirements In Detail Automation, objects, and policies are replacing traditional networks as we know them. North-to-South or East-to-West traffic flows-do you know the difference between the two? Don't worry if you don't: this course will remedy that! Traditional campus networks are static, and won't change much because they can't scale up. Data centers are not meant to be static. Today's Data Center architecture requirements are: scalability, geo-redundancy, security, multi-tenancy, and speed! Data center traffic flow should be highly available and predictable. As the demand for talented ACI engineers and architects is rapidly increasing, knowing the foundational aspects of SDN-based architectures and being able to implement and support them are crucial for your career development. This fast-paced course uses a whiteboard-based approach with hand written explanations. We start with an introduction to fabric data center designs, Spine and Leaf architectures, and ACI. We then start to implement them and deploy a fabric from the ground up. Then we build a multi-tenant environment. After completing this video training course, you will have gained a solid understanding of how to administer an Application Centric Infrastructure.
    Note: Online resource; Title from title screen (viewed May 29, 2020) , Mode of access: World Wide Web.
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  • 48
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (496 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build a strong foundation in designing and implementing real-time systems with the help of practical examples Key Features Get up and running with the fundamentals of RTOS and apply them on STM32 Enhance your programming skills to design and build real-world embedded systems Get to grips with advanced techniques for implementing embedded systems Book Description A real-time operating system (RTOS) is used to develop systems that respond to events within strict timelines. Real-time embedded systems have applications in various industries, from automotive and aerospace through to laboratory test equipment and consumer electronics. These systems provide consistent and reliable timing and are designed to run without intervention for years. This microcontrollers book starts by introducing you to the concept of RTOS and compares some other alternative methods for achieving real-time performance. Once you've understood the fundamentals, such as tasks, queues, mutexes, and semaphores, you'll learn what to look for when selecting a microcontroller and development environment. By working through examples that use an STM32F7 Nucleo board, the STM32CubeIDE, and SEGGER debug tools, including SEGGER J-Link, Ozone, and SystemView, you'll gain an understanding of preemptive scheduling policies and task communication. The book will then help you develop highly efficient low-level drivers and analyze their real-time performance and CPU utilization. Finally, you'll cover tips for troubleshooting and be able to take your new-found skills to the next level. By the end of this book, you'll have built on your embedded system skills and will be able to create real-time systems using microcontrollers and FreeRTOS. What you will learn Understand when to use an RTOS for a project Explore RTOS concepts such as tasks, mutexes, semaphores, and queues Discover different microcontroller units (MCUs) and choose the best one for your project Evaluate and select the best IDE and middleware stack for your project Use professional-grade tools for analyzing and debugging your application Get FreeRTOS-based applications up and running on an STM32 board Who this book is for This book is for embedded engineers, students, or anyone interested in learning the complete RTOS feature set with embedded devices. A basic understanding of the C programming language and embedded systems or microcontrollers will be helpful.
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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  • 49
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (530 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key Features Become familiar with data processing, performance measuring, and model selection using various C++ libraries Implement practical machine learning and deep learning techniques to build smart models Deploy machine learning models to work on mobile and embedded devices Book Description C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You'll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you'll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you'll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format. By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems. What you will learn Explore how to load and preprocess various data types to suitable C++ data structures Employ key machine learning algorithms with various C++ libraries Understand the grid-search approach to find the best parameters for a machine learning model Implement an algorithm for filtering anomalies in user data using Gaussian distribution Improve collaborative filtering to deal with dynamic user preferences Use C++ libraries and APIs to manage model structures and parameters Implement a C++ program to solve image classification tasks with LeNet architecture Who this book is for You will find this C++ machine learning book useful if you want to get started with machine learning algorithms an...
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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  • 50
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (262 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV) Key Features Become well-versed with best practices for implementing automated analytical computations Discover real-world examples to extend cloud intelligence Develop your skills by understanding edge analytics and applying it to research activities Book Description Edge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model, and help you understand why it's gaining momentum. You'll begin with the key concepts and components used in an edge analytics app. Moving ahead, you'll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next, the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later, you'll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, you'll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You'll even get hands-on with designing a smart doorbell system using the technologies you've learned. To remove vulnerabilities in the overall edge analytics architecture, you'll discover ways to overcome security and privacy challenges. Finally, you'll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure. By the end of this book, you'll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations. What you will learn Discover the key concepts and architectures used with edge analytics Understand how to use long-distance communication protocols for edge analytics Deploy Microsoft Azure IoT Edge to a Raspberry Pi Create Node-RED dashboards with MQTT and Text to Speech (TTS) Use MicroPython for developing edge analytics apps Explore various machine learning techniques and discover how machine learning is related to edge analytics Use camera and vision recognition algorithms on the sensory side to design an edge analytics app Monitor and audit edge analytics apps Who this book is for If you are a data analyst, data architect, or data scientist who is interes...
    Note: Online resource; Title from title page (viewed May 21, 2020) , Mode of access: World Wide Web.
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  • 51
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789619904
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This hands-on course teaches you to build reactive, scalable, and dynamic cross-platform apps using Ionic 4 and 5 About This Video Build performant, persistent, reactive, and scalable cross-platform apps using the Ionic 4 and 5 framework Develop apps that use a single codebase and work on mobile platforms Android, iOS, and also the web using native APIs and in-device storage Follow industry best practices and use MobX with Ionic (via device storage) to build a scalable architecture In Detail While Ionic is an easy and straightforward framework to learn, building Ionic apps can sometimes be hard. Designing its architecture and making sure that your application is high-performing, dynamic, and scalable are always tricky. In this course, you will develop a feature-rich Notes app in a step-by-step process using the Ionic framework. You will be using web components, persistent storage, and APIs to ensure your app is high-performing. You'll use the MobX reactive state management tool to make your apps scalable. You'll then use a SQLite database to persist data onto your device. With the Ionic Native Camera API, you'll add, save pictures to your notes then edit and save them, set reminders in your notes, and have your device notify you of events using Ionic Native local notifications. You will deploy your app across iOS and Android devices and also on the web. By the end of the course, you will have taken your Ionic 4 and 5 skills to the next level and will be equipped to build cross-platform hybrid mobile apps.
    Note: Online resource; Title from title screen (viewed May 6, 2020) , Mode of access: World Wide Web.
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  • 52
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (532 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guide Key Features Explore useful design patterns along with object-oriented programming in Julia 1.0 Implement macros and metaprogramming techniques to make your code faster, concise, and efficient Develop the skills necessary to implement design patterns for creating robust and maintainable applications Book Description Design patterns are fundamental techniques for developing reusable and maintainable code. They provide a set of proven solutions that allow developers to solve problems in software development quickly. This book will demonstrate how to leverage design patterns with real-world applications. Starting with an overview of design patterns and best practices in application design, you'll learn about some of the most fundamental Julia features such as modules, data types, functions/interfaces, and metaprogramming. You'll then get to grips with the modern Julia design patterns for building large-scale applications with a focus on performance, reusability, robustness, and maintainability. The book also covers anti-patterns and how to avoid common mistakes and pitfalls in development. You'll see how traditional object-oriented patterns can be implemented differently and more effectively in Julia. Finally, you'll explore various use cases and examples, such as how expert Julia developers use design patterns in their open source packages. By the end of this Julia programming book, you'll have learned methods to improve software design, extensibility, and reusability, and be able to use design patterns efficiently to overcome common challenges in software development. What you will learn Master the Julia language features that are key to developing large-scale software applications Discover design patterns to improve overall application architecture and design Develop reusable programs that are modular, extendable, performant, and easy to maintain Weigh up the pros and cons of using different design patterns for use cases Explore methods for transitioning from object-oriented programming to using equivalent or more advanced Julia techniques Who this book is for This book is for beginner to intermediate-level Julia programmers who want to enhance their skills in designing and developing large-scale applications.
    Note: Online resource; Title from title page (viewed January 17, 2020) , Mode of access: World Wide Web.
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  • 53
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839213069
    Language: English
    Pages: 1 online resource (470 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Explore the functional programming paradigm and the different techniques for developing better algorithms, writing more concise code, and performing seamless testing Key Features Explore this second edition updated to cover features like async functions and transducers, as well as functional reactive programming Enhance your functional programming (FP) skills to build web and server apps using JavaScript Use FP to enhance the modularity, reusability, and performance of apps Book Description Functional programming is a paradigm for developing software with better performance. It helps you write concise and testable code. To help you take your programming skills to the next level, this comprehensive book will assist you in harnessing the capabilities of functional programming with JavaScript and writing highly maintainable and testable web and server apps using functional JavaScript. This second edition is updated and improved to cover features such as transducers, lenses, prisms and various other concepts to help you write efficient programs. By focusing on functional programming, you'll not only start to write but also to test pure functions, and reduce side effects. The book also specifically allows you to discover techniques for simplifying code and applying recursion for loopless coding. Gradually, you'll understand how to achieve immutability, implement design patterns, and work with data types for your application, before going on to learn functional reactive programming to handle complex events in your app. Finally, the book will take you through the design patterns that are relevant to functional programming. By the end of this book, you'll have developed your JavaScript skills and have gained knowledge of the essential functional programming techniques to program effectively. What you will learn Simplify JavaScript coding using function composition, pipelining, chaining, and transducing Use declarative coding as opposed to imperative coding to write clean JavaScript code Create more reliable code with closures and immutable data Apply practical solutions to complex programming problems using recursion Improve your functional code using data types, type checking, and immutability Understand advanced functional programming concepts such as lenses and prisms for data access Who this book is for This book is for JavaScript developers who want to enhance their programming skills and build efficient web applications. Frontend and backend dev...
    Note: Online resource; Title from title page (viewed January 24, 2020) , Mode of access: World Wide Web.
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  • 54
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800203921
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Get a firm grip on Microsoft Azure through real-world exercises About This Video Build a solid foundation of cloud concepts and Azure architectural components Learn through Azure real-world example to clear Az-900 exam Explore real-world small projects and practice labs In Detail The primary reason for Microsoft Azure's immense popularity is that it supports a wide range of operating systems, tools, databases, programming languages, and, devices. This course starts off by introducing to you the Microsoft's platform for the cloud. You will then explore Azure web services and storage. In the concluding sections, you will deploy a Windows Azure cloud service and implement advanced cloud service functionalities. By the end of this course, you'll be become skilled enough to confidently operate Microsoft Azure to achieve business objectives. This course can be taken by absolute beginners including candidates with non-technical backgrounds, such as those involved in selling or purchasing cloud-based solutions and services, or who have some involvement with cloud-based solutions and services, as well as those with a technical background who want to brush up their fundamentals around cloud services and Azure
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 55
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (822 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: A step-by-step guide to learning iOS app development and exploring the latest Apple development tools Key Features Explore the latest features of Xcode 11 and the Swift 5 programming language in this updated fourth edition Kick-start your iOS programming career and have fun building your own iOS apps Discover the new features of iOS 13 such as Dark Mode, iPad apps for Mac, SwiftUI, and more Book Description iOS 13 comes with features ranging from Dark Mode and Catalyst through to SwiftUI and Sign In with Apple. If you're a beginner and are looking to experiment and work with these features to create your own apps, then this updated fourth edition gets you off to a strong start. The book offers a comprehensive introduction for programmers who are new to iOS, covering the entire process of learning the Swift language, writing your own apps, and publishing them on the App Store. This edition is updated and revised to cover the new iOS 13 features along with Xcode 11 and Swift 5. The book starts with an introduction to the Swift programming language, and how to accomplish common programming tasks with it. You'll then start building the user interface (UI) of a complete real-world app, using the latest version of Xcode, and also implement the code for views, view controllers, data managers, and other aspects of mobile apps. The book will then help you apply the latest iOS 13 features to existing apps, along with introducing you to SwiftUI, a new way to design UIs. Finally, the book will take you through setting up testers for your app, and what you need to do to publish your app on the App Store. By the end of this book, you'll be well versed with how to write and publish apps, and will be able to apply the skills you've gained to enhance your apps. What you will learn Get to grips with the fundamentals of Xcode 11 and Swift 5, the building blocks of iOS development Understand how to prototype an app using storyboards Discover the Model-View-Controller design pattern, and how to implement the desired functionality within the app Implement the latest iOS features such as Dark Mode and Sign In with Apple Understand how to convert an existing iPad app into a Mac app Design, deploy, and test your iOS applications with industry patterns and practices Who this book is for This book is for anyone who has programming experience but is completely new to Swift and iOS app development. Experienced programmers looking to explore the latest iOS 13 features will...
    Note: Online resource; Title from title page (viewed January 24, 2020) , Mode of access: World Wide Web.
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  • 56
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838985660
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build voice commands for Alexa devices with the Alexa Skills Kit About This Video Engage and captivate your target audience via a strong opening invocation series Build a conversation that works for your business growth goals and your stakeholders' demands Navigate the Alexa Skills Testing and Submission/Approval Process and build Voice UIs In Detail Alexa is the most popular and widely used virtual assistant. Using simple voice commands, you can ask Alexa to find and read the news, play music, order a pizza, or control other smart home devices. The most valuable use of these voice-based apps on top of Alexa, called Alexa Skills, is for business use. There is a risk that many businesses are not taking advantage of Alexa Skills benefits, and are also wondering how and why they can-and should-use Alexa Skills to help drive their business growth. This course introduces the core concepts of voice design and how to program your backend using the Alexa Skills Kit. You will learn Voice User Interface Design principles, and how to build custom voice commands for Alexa devices using the Alexa Skills Kit, Voiceflow, and Node.js. You will explore the Alexa ecosystem and the components that make up custom Alexa skills; learn how to configure the Amazon Developer Portal, and create, code, and deploy it using Voiceflow, Node.js, Lambda functions, and Amazon Web Services. You will discover how to test your skills in the browser and on an actual Alexa device and share them with other Alexa users. You will learn to develop, test, validate, and troubleshooting skills, manage the publishing process, and work with the Alexa developer console. By the end of this course, you will be able to create voice UIs, configure Alexa skill functionality, and test/expand your skills. This course is suitable for developers who want to learn how to master Alexa Skills and use Alexa to build amazing voice UI applications, with real-world commercial benefit. Basic JavaScript and Node.js experience would be beneficial but not necessary.
    Note: Online resource; Title from title screen (viewed January 22, 2020) , Mode of access: World Wide Web.
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  • 57
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839215001
    Language: English
    Pages: 1 online resource (576 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: A beginner's guide to simplifying Extract, Transform, Load (ETL) processes with the help of hands-on tips, tricks, and best practices, in a fun and interactive way Key Features Explore data wrangling with the help of real-world examples and business use cases Study various ways to extract the most value from your data in minimal time Boost your knowledge with bonus topics, such as random data generation and data integrity checks Book Description While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined. If you're a beginner, then The Data Wrangling Workshop will help to break down the process for you. You'll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques. This book starts by showing you how to work with data structures using Python. Through examples and activities, you'll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you'll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool. By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources. What you will learn Get to grips with the fundamentals of data wrangling Understand how to model data with random data generation and data integrity checks Discover how to examine data with descriptive statistics and plotting techniques Explore how to search and retrieve information with regular expressions Delve into commonly-used Python data science libraries Become well-versed with how to handle and compensate for missing data Who this book is for The Data Wrangling Workshop is designed for developers, data analysts, and business analysts who are looking to pursue a career as a full-fledged data scientist or analytics expert. Although this book is for beginners who want to start data ...
    Note: Online resource; Title from title page (viewed July 29, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800201774
    Language: English
    Pages: 1 online resource (568 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior Key Features Understand OpenCV and select the right algorithm to solve real-world problems Discover techniques for image and video processing Learn how to apply face recognition in videos to automatically extract key information Book Description Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods. By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems. What you will learn Access and manipulate pixels in OpenCV using BGR and grayscale images Create histograms to better understand image content Use contours for shape analysis, object detection, and recognition Track objects in videos using a variety of trackers available in OpenCV Discover how to apply face recognition tasks using computer vision techniques Visualize 3D objects in point clouds and polygon meshes using Open3D Who this book is for If you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
    Note: Online resource; Title from title page (viewed July 27, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800202504
    Language: English
    Pages: 1 online resource (352 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Designed with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality to understand how data science can be applied to solve real-world data problems. Key Features Gain useful insights into data science and machine learning Explore the different functionalities and features of a Jupyter Notebook Discover how Python libraries are used with Jupyter for data analysis Book Description From banking and manufacturing through to education and entertainment, using data science for business has revolutionized almost every sector in the modern world. It has an important role to play in everything from app development to network security. Taking an interactive approach to learning the fundamentals, this book is ideal for beginners. You'll learn all the best practices and techniques for applying data science in the context of real-world scenarios and examples. Starting with an introduction to data science and machine learning, you'll start by getting to grips with Jupyter functionality and features. You'll use Python libraries like sci-kit learn, pandas, Matplotlib, and Seaborn to perform data analysis and data preprocessing on real-world datasets from within your own Jupyter environment. Progressing through the chapters, you'll train classification models using sci-kit learn, and assess model performance using advanced validation techniques. Towards the end, you'll use Jupyter Notebooks to document your research, build stakeholder reports, and even analyze web performance data. By the end of The Applied Data Science Workshop, you'll be prepared to progress from being a beginner to taking your skills to the next level by confidently applying data science techniques and tools to real-world projects. What you will learn Understand the key opportunities and challenges in data science Use Jupyter for data science tasks such as data analysis and modeling Run exploratory data analysis within a Jupyter Notebook Visualize data with pairwise scatter plots and segmented distribution Assess model performance with advanced validation techniques Parse HTML responses and analyze HTTP requests Who this book is for If you are an aspiring data scientist who wants to build a career in data science or a developer who wants to explore the applications of data science from scratch and analyze data in Jupyter using Python libraries, then this book is for you. Although a brief understanding of Python programming and ...
    Note: Online resource; Title from title page (viewed July 22, 2020) , Mode of access: World Wide Web.
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    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800561083
    Language: English
    Pages: 1 online resource (1 video file, approximately 43 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Learn new Android APIs such as RoomDatabase, ML Kit for face recognition, Cloud Firestore, Firebase, Maps, and the Android Studio IDE (integrated development environment) About This Video Build Android apps from scratch by using the Android Studio IDE and Java Explore new Android APIs such as Firebase Realtime Database and ML Kit and the Room Persistence Library Upload your apps to Google Play Store and reach millions of Android users worldwide In Detail Android is one the most popular operating systems in the world, so Android app development can help you explore a wide range of opportunities to build a successful career. If you have creative app ideas but don't know where to start, are looking to switch careers and Android development has piqued your interest, or you simply want to add more value to the workplace, this fully updated course will help you build a strong foundation in Android development, Android Studio, and object-oriented Java programming. The course begins by teaching you how to install Android Studio for Windows, and takes you through the initial steps involved in Android development. You'll then delve into Java and get to grips with object-oriented programming in Java, along with focusing on Java inheritance and data structures. As you advance, you'll understand the Android app structure and learn how to build apps such as a trivia app and the Make It Rain app. Finally, you'll discover how to finalize the Android apps and run them on physical devices. By the end of this course, you'll have fully understood how to develop Android apps and be able to start building on your app ideas.
    Note: Online resource; Title from title screen (viewed May 29, 2020) , Mode of access: World Wide Web.
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  • 61
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838643416
    Language: English
    Pages: 1 online resource (626 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Gain the expertise you need to build custom application frameworks and responsive and visually appealing user interfaces with WPF, C#, and .NET Key Features Discover a smarter way of working with WPF using the MVVM software architectural pattern Create your own lightweight application framework to build your future applications upon Understand data binding and learn how to use it in an application Book Description Microsoft Windows Presentation Foundation (WPF) provides several libraries and APIs for developers to create engaging user experiences. This book features a wide range of simple through to complex examples to demonstrate how to develop enterprise-grade applications for Windows desktop with WPF. This updated second edition of Mastering Windows Presentation Foundation starts by covering the benefits of using the Model-View-ViewModel (MVVM) software architectural pattern with WPF, before guiding you through debugging your WPF apps. The book will then take you through the application architecture and building the foundation layer for your apps. As you advance, you'll get to grips with data binding, explore the various built-in WPF controls, and customize them to suit your requirements. You'll learn how to create custom controls to meet your needs when the built-in functionality is not enough. You'll also learn how to enhance your applications using practical animations, stunning visuals, and responsive data validation. To ensure that your app is not only interactive but also efficient, you'll focus on improving application performance, and finally, discover the different methods for deploying your applications. By the end of this book, you'll be proficient in using WPF for developing efficient yet robust user interfaces. What you will learn Discover MVVM and how it assists development with WPF Implement your own custom application framework Become proficient with Data Binding Understand how to adapt the built-in controls Get up to speed with animations Implement responsive data validation Create visually appealing user interfaces Improve application performance Learn how to deploy your applications Who this book is for This Windows book is for developers with basic to intermediate-level knowledge of Windows Presentation Foundation and for those interested in simply enhancing their WPF skills. If you're looking to learn more about application architecture and designing user interfaces in a visually appealing manner, you'll find this book ...
    Note: Online resource; Title from title page (viewed March 30, 2020) , Mode of access: World Wide Web.
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  • 62
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839217715
    Language: English
    Pages: 1 online resource (820 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Key Features Design, train, and evaluate machine learning algorithms that underpin automated trading strategies Create a research and strategy development process to apply predictive modeling to trading decisions Leverage NLP and deep learning to extract tradeable signals from market and alternative data Book Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learn Leverage market, fundamental, and alternative text and image data Research and evaluate alpha factors using statistics, Alphalens, and SHAP values Implement machine learning techniques to solve investment and trading problems Backtest and evaluate trading strategies based on machine learning using Zipline and Backtrader Optimize portfolio risk and performance analysis using pandas, NumPy, and pyfolio Create a pairs trading strategy based on cointegration for US equities and ETFs Train a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quot...
    Note: Online resource; Title from title page (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 63
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789532463
    Language: English
    Pages: 1 online resource (384 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Get to grips with the Logix platform, Rockwell Automation terminologies, and the online resources available in the Literature Library Key Features Build real-world solutions using ControlLogix, CompactLogix, and RSLogix 5000/Studio 5000 Understand the different controllers and form factors offered by the ControlLogix and CompactLogix platforms Explore the latest changes in the Studio 5000 Automation Engineering and Design software suite Book Description Understanding programmable logic controller (PLC) programming with Rockwell Software's Logix Designer and the Studio 5000 platform, which includes ControlLogix, CompactLogix, and SoftLogix, is key to building robust PLC solutions. RSLogix 5000/Studio 5000's Logix Designer are user-friendly IEC 61131-3-compliant interfaces for programming the current generation of Rockwell Automation Controllers using Ladder Diagram (LD), Function Block Diagram (FBD), Structured Text (ST), and Sequential Function Chart (SFC). This second edition of Learning RSLogix 5000 Programming guides you through the technicalities and comes packed with the latest features of Studio 5000, industrial networking fundamentals, and industrial cybersecurity best practices. You'll go through the essential hardware and software components of Logix, before learning all about the new L8 processor model and the latest Studio 5000 architecture to build effective integrated solutions. Entirely new for this edition, you'll discover a chapter on cybersecurity concepts with RSLogix 5000. The book even gets you hands-on with building a robot bartender control system from start to finish. By the end of this Logix 5000 book, you'll have a clear understanding of the capabilities of the Logix platform and be able to confidently navigate Rockwell Automation Literature Library resources. What you will learn Gain insights into Rockwell Automation and the evolution of the Logix platform Find out the key platform changes in Studio 5000 and Logix Designer Explore a variety of ControlLogix and CompactLogix controllers Understand the Rockwell Automation industrial networking fundamentals Implement cybersecurity best practices using Rockwell Automation technologies Discover the key considerations for engineering a Rockwell Automation solution Who this book is for If you're a PLC programmer, an electrician, an instrumentation technician, or an automation professional with basic PLC programming knowledge, but no knowledge of RSLogix 5000, this RSLogix 500...
    Note: Online resource; Title from title page (viewed July 6, 2020) , Mode of access: World Wide Web.
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  • 64
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800563544
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Create simple to complex regular expressions in JavaScript using practical examples and real-world problems About This Video Use grouping, capture groups, and backreferencing to create updated and accurate regex patterns Discover the latest updates in ES6, ES7, and ES8+ for regular expressions in JavaScript Take pattern matching to the next level by learning the different options available in JavaScript regex In Detail Regular expressions are an essential part of problem solving in computer science. It can be tricky to learn if you don't approach the topic right. This course breaks down regular expressions into manageable parts so that you can learn them quickly and retain the concepts for much longer. This course is useful for both JavaScript programmers and programmers of other languages because it focuses on the core concepts of regular expressions before teaching you how to apply them in JavaScript. You'll also learn the sheer power of regular expressions used in combination with the powerhouse that is the JavaScript language. Add the latest ECMAScript updates to the mix, and you end up with something that is unparalleled in other languages. Every concept is explained using a wealth of examples to help you understand the concepts better.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to combine SQL Server's analytics with Azure's flexibility and hybrid connectivity to achieve industry-leading performance and manageability for your cloud database. Key Features Understand platform availability for SQL Server in Azure Explore the benefits and deployment choices offered by SQL IaaS Get to grips with deploying SQL Server on the Linux development ecosystem Book Description Deploying SQL Server on Azure virtual machines allows you to work on full versions of SQL Server in the cloud without having to maintain on-premises hardware. The book begins by introducing you to the SQL portfolio in Azure and takes you through SQL Server IaaS scenarios, before explaining the factors that you need to consider while choosing an OS for SQL Server in Azure VMs. As you progress through the book, you'll explore different VM options and deployment choices for IaaS and understand platform availability, migration tools, and best practices in Azure. In later chapters, you'll learn how to configure storage to achieve optimized performance. Finally, you'll get to grips with the concept of Azure Hybrid Benefit and find out how you can use it to maximize the value of your existing on-premises SQL Server. By the end of this book, you'll be proficient in administering SQL Server on Microsoft Azure and leveraging the tools required for its deployment. What you will learn Choose an operating system for SQL Server in Azure VMs Use the Azure Management Portal to facilitate the deployment process Verify connectivity and network latency in cloud Configure storage for optimal performance and connectivity Explore various disaster recovery options for SQL Server in Azure Optimize SQL Server on Linux Discover how to back up databases to a URL Who this book is for SQL Server on Azure VMs is for you if you are a developer, data enthusiast, or anyone who wants to migrate SQL Server databases to Azure virtual machines. Basic familiarity with SQL Server and managed identities for Azure resources will be a plus.
    Note: Online resource; Title from title page (viewed June 4, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (346 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guide Key Features Learn to create a digital prototype of a real model using hands-on examples Evaluate the performance and output of your prototype using simulation modeling techniques Understand various statistical and physical simulations to improve systems using Python Book Description Simulation modeling helps you to create digital prototypes of physical models to analyze how they work and predict their performance in the real world. With this comprehensive guide, you'll understand various computational statistical simulations using Python. Starting with the fundamentals of simulation modeling, you'll understand concepts such as randomness and explore data generating processes, resampling methods, and bootstrapping techniques. You'll then cover key algorithms such as Monte Carlo simulations and Markov decision processes, which are used to develop numerical simulation models, and discover how they can be used to solve real-world problems. As you advance, you'll develop simulation models to help you get accurate results and enhance decision-making processes. Using optimization techniques, you'll learn to modify the performance of a model to improve results and make optimal use of resources. The book will guide you in creating a digital prototype using practical use cases for financial engineering, prototyping project management to improve planning, and simulating physical phenomena using neural networks. By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges. What you will learn Gain an overview of the different types of simulation models Get to grips with the concepts of randomness and data generation process Understand how to work with discrete and continuous distributions Work with Monte Carlo simulations to calculate a definite integral Find out how to simulate random walks using Markov chains Obtain robust estimates of confidence intervals and standard errors of population parameters Discover how to use optimization methods in real-life applications Run efficient simulations to analyze real-world systems Who this book is for Hands-On Simulation Modeling with Python is for simulation developers and engineers, model designers, and anyone already familiar with the basic computational methods that are used t...
    Note: Online resource; Title from title page (viewed July 17, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838826048
    Language: English
    Pages: 1 online resource (384 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problems Key Features Delve into machine learning with this comprehensive guide to scikit-learn and scientific Python Master the art of data-driven problem-solving with hands-on examples Foster your theoretical and practical knowledge of supervised and unsupervised machine learning algorithms Book Description Machine learning is applied everywhere, from business to research and academia, while scikit-learn is a versatile library that is popular among machine learning practitioners. This book serves as a practical guide for anyone looking to provide hands-on machine learning solutions with scikit-learn and Python toolkits. The book begins with an explanation of machine learning concepts and fundamentals, and strikes a balance between theoretical concepts and their applications. Each chapter covers a different set of algorithms, and shows you how to use them to solve real-life problems. You'll also learn about various key supervised and unsupervised machine learning algorithms using practical examples. Whether it is an instance-based learning algorithm, Bayesian estimation, a deep neural network, a tree-based ensemble, or a recommendation system, you'll gain a thorough understanding of its theory and learn when to apply it. As you advance, you'll learn how to deal with unlabeled data and when to use different clustering and anomaly detection algorithms. By the end of this machine learning book, you'll have learned how to take a data-driven approach to provide end-to-end machine learning solutions. You'll also have discovered how to formulate the problem at hand, prepare required data, and evaluate and deploy models in production. What you will learn Understand when to use supervised, unsupervised, or reinforcement learning algorithms Find out how to collect and prepare your data for machine learning tasks Tackle imbalanced data and optimize your algorithm for a bias or variance tradeoff Apply supervised and unsupervised algorithms to overcome various machine learning challenges Employ best practices for tuning your algorithm's hyper parameters Discover how to use neural networks for classification and regression Build, evaluate, and deploy your machine learning solutions to production Who this book is for This book is for data scientists, machine learning practitioners, and anyone who wants to lea...
    Note: Online resource; Title from title page (viewed July 24, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800565685
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build next-gen programming skills using RxJava 3.0 and Reactive Streams About This Video Become proficient in Reactive programming using RXJava 3.x Explore different Reactive Streams and learn about their implementation Understand how different operators and observables work in Java In Detail In this course, you'll learn about Reactive programming and libraries such as RxJava and Reactor that are designed to keep the application responsive and make the system more resilient. The course starts by helping you understand the fundamentals of RxJava to make it easy for you to learn advanced topics such as the Reactive Manifesto, callbacks, callback hell, sync vs async, concurrent vs parallel, and the observer design pattern. As you advance, you'll also dive into the concepts of observable and observers, operators, combining observables, and replaying caching and subjects. You'll then explore concurrency and parallelism and get to grips with buffering, throttling, and switching. By the end of the course, you'll have developed a solid understanding of Reactive programming concepts and RxJAVA.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (162 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Learn Azure's cloud capabilities with the help of this introductory guide to employing Azure for your cloud infrastructure needs. Key Features Get a clear overview of Azure's capabilities and benefits, and learn how to get started efficiently Develop the ability to opt for cloud architecture and design that best fits your organization Leverage Azure opportunities for cost savings and optimization Book Description Microsoft Azure is a powerful cloud computing platform that offers a multitude of services and capabilities for organizations of any size moving to a cloud strategy. Azure Strategy and Implementation Guide Third Edition encapsulates the entire spectrum of measures involved in Azure deployment that includes understanding Azure fundamentals, choosing a suitable cloud architecture, building on design principles, becoming familiar with Azure DevOps, and learning best practices for optimization and management. The book begins by introducing you to the Azure cloud platform and demonstrating the substantial scope of digital transformation and innovation that can be achieved by leveraging Azure's capabilities. The guide further acquaints you with practical insights on application modernization, Azure Infrastructure as a Service (IaaS) deployment, infrastructure management, key application architectures, best practices of Azure DevOps, and Azure automation. By the end of this book, you will be proficient in driving Azure operations right from the planning and cloud migration stage to cost management and troubleshooting. What you will learn Deploy and run Azure infrastructure services Carry out detailed planning for migrating applications to the cloud with Azure Move underlying code class structure into a serverless model Use a gateway to isolate your services and applications Define roles and responsibilities in DevOps Implement release & deployment coordination and automation Who this book is for Azure Strategy and Implementation Guide Third Edition is designed to benefit Azure architects, cloud solution architects, Azure developers, Azure administrators, and anyone who wants to develop an expertise in operating and administering the Azure cloud. A basic familiarity with operating systems and databases will help you grasp the concepts covered in this book.
    Note: Online resource; Title from title page (viewed June 9, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838822347
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Understand the user in-depth and apply the best UX practice and design principles About This Video This practical course will teach you key skills, from running user workshops all the way to building high-fidelity prototypes This course combines theory and applied principles in a step-by-step way, with plenty of screen shares and live demonstrations of UX tasks This course features many relevant case studies, practical how-to guides, and demonstrations of best-practice principles In Detail Whether your background is in development or design, you will often hear phrases such as 'Oh, this software is easy, the users will have no problem with it, or can you just add some UX to it'. As digital creators; How do we navigate through the often subjective and conflicting input from various stakeholders, into our design work? How can we be certain that our design will be successful with the user? How can you create a good design? This course will immerse you in five core aspects of user experience. You will look at how to understand users better, so you can create better experiences for them. We will get practical, looking at specific tools and methods, as we consider how to collaborate more constructively with others in our organizations. Our conversational style of teaching will help you pick up the basics quickly, without getting bogged down in the theory. The course also offers total flexibility so that, if you want to investigate a particular topic, you can jump straight in at your own pace. By the end of the course, you will be able to decode UX designs and understand what actually excites your customers and what doesn't.
    Note: Online resource; Title from title screen (viewed June 30, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800568068
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build efficient applications in ASP.NET using Razor Pages About This Video Learn the basic structure and security of ASP.NET Core 3.1 Project Build a CRUD operations application with Entity Framework (EF) using Razor Pages Integrate Entity Framework with Code First Migrations In Detail This course will give you an in-depth understanding of ASP.NET Core 3.1 using Razor Pages, starting from the basics to the advanced-level concepts. Throughout the course, you'll build multiple projects to understand and explore ASP.NET Core 3.1. In the first project, the course will take you through building a CRUD Operations application with EF and Razor Pages. Next, you'll build an auto shop website, where the admin can add service records and the customers can view service history. As you explore the latest framework introduced by Microsoft, you'll get to grips with authentication and authorization in the .NET framework. You'll learn how to tag helpers while creating a page link and create a service Razor Page using the car service view model. Toward the end of the course, you'll get hands-on experience of data seeding and deploying to Azure, and cover third-party hosting.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838983925
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build modern, high-performance, real-world apps with Swift by leveraging its playground and XCode About This Video A great starting point for developers who are new to Swift and want to see how to use it to correctly structure and architect software Covers all the important concepts and features for developing real-world iOS applications using Swift 5 Swift 5 comes with ABI Stability and some awesome language features that will help you develop apps for the future In Detail Swift is a powerful programming language that is fun as the syntax is concise yet expressive and feature-rich. This course helps you take your first steps into programming for Apple devices with Swift. You'll quickly learn Swift and the new features introduced in its latest version. You'll design user interfaces using the UIKit and unleash the power of Storyboards with AutoLayout. You'll use the CoreLocation framework to determine a device's geographic location, altitude, and orientation. This course lets you explore the most important development tools and techniques used to develop real-world iOS apps while giving you insights into how to improve performance using the latest version of Swift. Finally, you'll learn how to write UI tests for your applications to manage performance and then submit your app to the App Store. By the end of this course, you will have gotten started as a Swift programmer and will be able to build your own apps.
    Note: Online resource; Title from title screen (viewed May 20, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (368 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get up and running with collecting evidence using forensics best practices to present your findings in judicial or administrative proceedings Key Features Learn the core techniques of computer forensics to acquire and secure digital evidence skillfully Conduct a digital forensic examination and document the digital evidence collected Analyze security systems and overcome complex challenges with a variety of forensic investigations Book Description A computer forensics investigator must possess a variety of skills, including the ability to answer legal questions, gather and document evidence, and prepare for an investigation. This book will help you get up and running with using digital forensic tools and techniques to investigate cybercrimes successfully. Starting with an overview of forensics and all the open source and commercial tools needed to get the job done, you'll learn core forensic practices for searching databases and analyzing data over networks, personal devices, and web applications. You'll then learn how to acquire valuable information from different places, such as filesystems, e-mails, browser histories, and search queries, and capture data remotely. As you advance, this book will guide you through implementing forensic techniques on multiple platforms, such as Windows, Linux, and macOS, to demonstrate how to recover valuable information as evidence. Finally, you'll get to grips with presenting your findings efficiently in judicial or administrative proceedings. By the end of this book, you'll have developed a clear understanding of how to acquire, analyze, and present digital evidence like a proficient computer forensics investigator. What you will learn Understand investigative processes, the rules of evidence, and ethical guidelines Recognize and document different types of computer hardware Understand the boot process covering BIOS, UEFI, and the boot sequence Validate forensic hardware and software Discover the locations of common Windows artifacts Document your findings using technically correct terminology Who this book is for If you're an IT beginner, student, or an investigator in the public or private sector this book is for you.This book will also help professionals and investigators who are new to incident response and digital forensics and interested in making a career in the cybersecurity domain.
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (544 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: An example-driven guide to take your image editing skills from beginner to advanced using powerful Photoshop Elements tools and techniques in tandem with Adobe's latest AI technology Key Features Updated to the latest version of Photoshop Elements 2020 with focused coverage on Adobe's latest AI technology Organize, search, and keep track of an ever-increasing number of images and videos using expert practices Discover common solutions to a wide range of photographic and image-editing problems Book Description Adobe Photoshop Elements is a raster graphics editor for entry-level photographers, image editors, and hobbyists. Updated and improved to cover the latest features of Photoshop Elements 2020, this second edition includes focused coverage of Adobe's new AI-powered features that are designed to make the editing process more efficient, creative and fun. This book takes you through the complexities of image editing in easy-to-follow, bite-sized chunks, helping you to quickly recognize the editing challenge at hand and use suitable tools and techniques to overcome it. You'll start by learning how to import, organize, manage, edit, and use your pictures in a format that's designed for creative photography projects. Throughout this Adobe Photoshop Elements book, you'll discover how to fix different photographic problems using an extensive repertoire of commonly applied solutions. Common processes such as applying artistic effects to creative projects, custom image makeovers, processing images for social media, and other file export methods will also be covered. By the end of this book, you'll have learned about the impressive tools available in Photoshop Elements 2020, and how it is designed not only for photographers who'd like to dip their toes into the editing world, but also for those wanting simple but effective ideas on how to expand their creativity while remaining time-efficient. What you will learn Explore the automatic AI-powered features designed to make the editing process faster and more efficient Add graphic elements to any composition, photograph, or illustration Overcome challenges in editing multi-layered images for your photography projects Develop illustrative skills using Photoshop Elements' drawing tools Learn techniques for professional photo retouching Work with online and local templates to create calendars, greeting cards, and other projects Who this book is for This book is for creative and enthusiastic photographers wi...
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 75
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (404 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Use the power of deep learning with Python to build and deploy intelligent web applications Key Features Create next-generation intelligent web applications using Python libraries such as Flask and Django Implement deep learning algorithms and techniques for performing smart web automation Integrate neural network architectures to create powerful full-stack web applications Book Description When used effectively, deep learning techniques can help you develop intelligent web apps. In this book, you'll cover the latest tools and technological practices that are being used to implement deep learning in web development using Python. Starting with the fundamentals of machine learning, you'll focus on DL and the basics of neural networks, including common variants such as convolutional neural networks (CNNs). You'll learn how to integrate them into websites with the frontends of different standard web tech stacks. The book then helps you gain practical experience of developing a deep learning-enabled web app using Python libraries such as Django and Flask by creating RESTful APIs for custom models. Later, you'll explore how to set up a cloud environment for deep learning-based web deployments on Google Cloud and Amazon Web Services (AWS). Next, you'll learn how to use Microsoft's intelligent Emotion API, which can detect a person's emotions through a picture of their face. You'll also get to grips with deploying real-world websites, in addition to learning how to secure websites using reCAPTCHA and Cloudflare. Finally, you'll use NLP to integrate a voice UX through Dialogflow on your web pages. By the end of this book, you'll have learned how to deploy intelligent web apps and websites with the help of effective tools and practices. What you will learn Explore deep learning models and implement them in your browser Design a smart web-based client using Django and Flask Work with different Python-based APIs for performing deep learning tasks Implement popular neural network models with TensorFlow.js Design and build deep web services on the cloud using deep learning Get familiar with the standard workflow of taking deep learning models into production Who this book is for This deep learning book is for data scientists, machine learning practitioners, and deep learning engineers who are looking to perform deep learning techniques and methodologies on the web. You will also find this book useful if you're a web developer who wants to implement smart te...
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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  • 76
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839211942
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn about common and useful Data Structures and Algorithms About This Video Get familiar with Rust as a powerful and fast language that encourages good design Focus on practical programming needs, learning effective solutions to problems that programmers often face Learn techniques for building data-oriented code and handling relationships between different kinds of data In Detail Rust is a modern systems programming language designed with safety to simplify the development of large, complex software projects. Data structure and Algorithms are key to help in the collection and organization of the data for performing operations on the data and set instructions/logic to accomplish tasks in these projects. This course will be your guide for implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. You will begin with a primer to Rust and its syntax. You will then explore the language of Time and Memory complexity by comparing different sorting methods. You'll then learn about Lists and Binary Trees, implement them, and compare them, to show the advantages and use cases of each. Next, you will cover different algorithms in-depth such as sorting, graph, dynamic programming, greedy, divide and conquer, and more. You will learn how counterintuitive techniques can actually make it easier to build scalable projects! By the end of the course, you will have a sound knowledge of the key data structures and algorithms in Rust to confidently implement them in your applications.
    Note: Online resource; Title from title screen (viewed May 26, 2020) , Mode of access: World Wide Web.
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  • 77
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800564626
    Language: English
    Pages: 1 online resource (1 video file, approximately 11 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build modern, flexible, and extensible APIs with GraphQL and Apollo About This Video Gain proficiency in creating APIs with GraphQL and Apollo Build an Android client app from scratch with Apollo Understand development in the front-end and back-end In Detail GraphQL is the new way of building scalable and reliable APIs that any client can consume. This course will get you up and running with GraphQL quickly, providing you the core knowledge you need to build GraphQL APIs and deploy them remotely. You will also be able to incorporate Apollo middleware so you can consume the data in Android applications quickly. The course begins by helping you understand why GraphQL is the ideal way to build robust APIs. You will explore the fundamentals and basics of GraphQL - scalable types and schemas. In addition to this, you will gain a deep understanding of what Graph in GraphQL means. As you progress, you will learn how to set up the server-side code with Node and Express, and JavaScript, along with MongoDB Collections. The course will also focus on GraphQL queries and mutations, along with creating relationships between your data objects. By the end of this course, you will have the skills you need to create GraphQL APIs confidently and tie them up with a web or Android client.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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  • 78
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839213984
    Language: English
    Pages: 1 online resource (324 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: A complete guide on Teams filled with real-world scenarios and best practices to increase enterprise productivity and engagement Key Features Interactive approach to learn the key concepts of Teams and its implementation in modern workplace Discover tips and techniques for extending Teams to meet your business requirements Integrate Teams with various Microsoft services such as PowerShell, SharePoint, PowerApps, and Power Automate Book Description Microsoft Teams is a platform for unified communication in modern workplaces. It not only enables effective communication, but also helps you manage your resources through its integration with various Microsoft Office 365 services. This book offers a comprehensive introduction to the platform, getting you up to speed in no time. Complete with hands-on tutorials, and projects, this easy-to-follow guide will teach you how to use Teams in the best possible way. Starting with the basic concepts that will help you collaborate on Teams, this book takes you through expert techniques for creating and managing teams. A dedicated section also features industry practices to help enhance collaboration in modern workplaces. In later chapters, you'll explore Microsoft services such as SharePoint, PowerApps, Power Automate, and learn how they interact with Microsoft Teams. You'll also get to grips with dealing with permissions and security issues in managing private and public teams and channels. Along the way, you'll discover practical scenarios that will help you improve the collaboration in your organization and increase productivity by using Teams features. By the end of this book, you'll have hands-on experience of using Microsoft Teams, along with the skills you need to improve the way people collaborate in your organization. What you will learn Create teams, channels, and tabs in Microsoft Teams Explore the Teams architecture and various Office 365 components included in Teams Perform scheduling, and managing meetings and live events in Teams Configure and manage apps in Teams Design automated scripts for managing a Teams environment using PowerShell Build your own Microsoft Teams app without writing code Who this book is for This Microsoft Teams book is for power users and business professionals looking to use Teams for improving collaboration in an enterprise environment. The book will also be useful for Office 365 administrators interested in implementing Microsoft Teams effectively by learning about and ...
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 79
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838647308
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn how to use Puppet to automate your infrastructure About This Video Deploy puppet masters, and use code from Puppet Forge to write your own manifests Follow along as we configure a mock environment with Virtual Machines Learn Puppet through carefully chosen examples. This course focuses on the elements you need to know to get your work done. In Detail Puppet is a configuration management system. It is a language written for and by system administrators, to manage a large number of systems efficiently and prevent configuration drift. It automates all your IT configurations, giving you control over what you do to each node, allowing you to decided when and how you do it. Managing your application's infrastructure requires constant updates and security for infrastructure reliability. Automation provides faster deployments and fewer failures, improves security, and reduces costs for your organization. Puppet is an ideal tool for automating IT infrastructure in your organization and this course will show you how to do this. The course gives you a hands-on tutorial in the Puppet platform and so you can manage your IT infrastructure. You will build a custom software installation and configuration to match your application infrastructure, and explore the latest Puppet features by executing, testing, and deploying Puppet across your systems. You'll also develop Puppet modules while learning to avoid common errors and overcome everyday challenges. By the end of this course, you will be confident enough, and have the required skills, to manage your IT infrastructure effectively with Puppet and be ready to use Puppet in your own systems to ensure all of your servers comply with the desired configuration.
    Note: Online resource; Title from title screen (viewed April 22, 2020) , Mode of access: World Wide Web.
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  • 80
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800207226
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Develop cross-platform apps with the help of Xamarin.Forms About This Video This course provides a complete tour of Xamarin.Forms, from an introduction to XAML right through to advanced Xamarin.Forms concepts and techniques The course is ordered logically, with each skill based on what has come before. The complete source code is available on GitHub to make following along easier. You will be using the very latest version of Xamarin.Forms and C# 8, allowing us to take advantage of the latest features In Detail This course will be your perfect guide and will help you get up-and-running with building cross-platform mobile applications with the Xamarin.Forms framework. You will learn about the basics of Visual Studio 19, how to download and install it, and Xcode. We will cover View Model concepts and explore Data Binding as well as event handlers. We use a practical and hands-on approach to help you understand NUnit and Moq concepts effectively. You will understand how Xamarin.Forms allow you to create user interfaces that can be shared across platforms. We start by running a program using both Android and iOS emulators and simulators, respectively. Then we will set up a solution for your cross-development project. Along the way, you will look at unit-testing your code. By the end of the course, you'll be confident enough to design and develop cross-platform applications with the help of Xamarin.Forms.
    Note: Online resource; Title from title screen (viewed May 21, 2020) , Mode of access: World Wide Web.
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  • 81
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800565630
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Understand how to use Git and GitHub confidently by learning the daily Git workflow About This Video Explore how Git and GitHub work, along with their important aspects Learn how to manage files, commits, and branches Create custom branches and discover how to manage pull requests In Detail This course is designed to guide you through working with Git and GitHub. You will start by learning how to install Git on Windows, Mac, and Linux and then understand how to use it on the command line. Next, you'll get to grips with configuring Git on a computer and creating, cloning and adding files to a GitHub repository. The videos will also guide you through creating custom branches and tags, opening and managing GitHub issues, and opening and managing pull requests. All along, the course follows a practical approach, ensuring that you work through plenty of real-life examples. This will give you hands-on experience in building your own repositories, forking the repo, and even safely opening a pull request on your work. Everything you'll learn about Git and GitHub in this course is completely transferable to GitLab and Bitbucket. By the end of this course, you'll be well-versed with Git and GitHub fundamentals, and have the skills you need to work through open source projects.
    Note: Online resource; Title from title screen (viewed April 29, 2020) , Mode of access: World Wide Web.
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  • 82
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800200975
    Language: English
    Pages: 1 online resource (1 video file, approximately 12 hr., 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Master frontend web development using HTML, CSS, CSS Flexbox, CSS Grid, and JavaScript About This Video Learn HTML, CSS, JavaScript, and DOM in a single course Explore basic to advanced fundamental concepts of frontend web development Build a fully responsive web app that works across different screen devices In Detail If you want to learn how the most popular and widely used websites are created, this Frontend Web Development Bootcamp is for you. In this course, you'll build a website by cloning Twitter. Before you start building the website, you'll be taken through each of the technologies that you need to be well-versed with to build this project. Starting with HTML and CSS, you'll build three different pages for your app - the main page, login page, and newsfeed page. Once you've got to grips with JavaScript and DOM, you'll add some functionality to your project. With the step-by-step instructions, this course will guide you in creating some validation to navigate between different pages. You'll also be able to build different modal boxes, create a sidebar, and add a dark mode. Finally, you'll make your project fully responsive on different screen sizes, so it's compatible with all types of devices. By the end of the course, you'll have learned the skills necessary to master Responsive Web Design.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 83
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838647773
    Language: English
    Pages: 1 online resource (490 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn Flutter and the Dart programming language by building impressive real-world mobile applications for Android and iOS Key Features Learn cross-platform mobile development with Flutter and Dart by building 11 real-world apps Create wide array of mobile projects such as 2D game, productivity timer, movie browsing app, and more Practical projects demonstrating Flutter development techniques with tips, tricks, and best practices Book Description Flutter is a modern reactive mobile framework that removes a lot of the complexity found in building native mobile apps for iOS and Android. With Flutter, developers can now build fast and native mobile apps from a single codebase. This book is packed with 11 projects that will help you build your own mobile applications using Flutter. It begins with an introduction to Dart programming and explains how it can be used with the Flutter SDK to customize mobile apps. Each chapter contains instructions on how to build an independent app from scratch, and each project focuses on important Flutter features.From building Flutter Widgets and applying animations to using databases (SQLite and sembast) and Firebase, you'll build on your knowledge through the chapters. As you progress, you'll learn how to connect to remote services, integrate maps, and even use Flare to create apps and games in Flutter. Gradually, you'll be able to create apps and games that are ready to be published on the Google Play Store and the App Store. In the concluding chapters, you'll learn how to use the BLoC pattern and various best practices related to creating enterprise apps with Flutter. By the end of this book, you will have the skills you need to write and deliver fully functional mobile apps using Flutter. What you will learn Design reusable mobile architectures that can be applied to apps at any scale Get up to speed with error handling and debugging for mobile application development Apply the principle of 'composition over inheritance' to break down complex problems into many simple problems Update your code and see the results immediately using Flutter's hot reload Identify and prevent bugs from reappearing with Flutter's developer tools Manage an app's state with Streams and the BLoC pattern Build a simple web application using Flutter Web Who this book is for This book is for mobile developers and software developers who want to learn Flutter to build state-of-the-art mobile apps. Although prior experience with Dart progra...
    Note: Online resource; Title from title page (viewed April 7, 2020) , Mode of access: World Wide Web.
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  • 84
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800565692
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Bring data to life with the D3.js data visualization library, and get up to speed with JavaScript, HTML, and CSS to build stunning data visuals About This Video Learn to create a bar chart that can move dynamically Visualize earthquakes - both dynamically and as circles in the x-axis Get to grips with using the getElementById selector In Detail Effective visualization of data helps users analyze and gather insights about data, making complex data more accessible, understandable, and easy on the eye. If you want to create incredible graphs and data-driven visualizations from raw data and communicate information clearly and efficiently within your organization, work, and school, then enroll in this complete data visualization course covering the D3.js library. The course begins with an introduction to D3.js, and then teaches you how to create dynamic visualizations, scales, bar charts, and SVG paths. You'll then perform hands-on tasks such as earthquake visualization, creating a pie chart, and building a navigation page. The course then takes you through JavaScript fundamentals, along with covering arrays, loops, functions, and objects. Toward the concluding chapters, you'll get to grips with the document object model (DOM) and the browser object model (BOM). By the end of this course, you'll have gained a solid understanding of the basics of HTML, CSS, and JavaScript - the three main technologies necessary for building amazing visualizations using the D3.js library.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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  • 85
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800205819
    Language: English
    Pages: 1 online resource (420 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With knowledge and information shared by experts, take your first steps towards creating scalable AI algorithms and solutions in Python, through practical exercises and engaging activities Key Features Learn about AI and ML algorithms from the perspective of a seasoned data scientist Get practical experience in ML algorithms, such as regression, tree algorithms, clustering, and more Design neural networks that emulate the human brain Book Description You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career? The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career. The book begins by teaching you how to predict outcomes using regression. You'll then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you'll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you'll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs). By the end of this applied AI book, you'll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models. What you will learn Create your first AI game in Python with the minmax algorithm Implement regression techniques to simplify real-world data Experiment with classification techniques to label real-world data Perform predictive analysis in Python using decision trees and random forests Use clustering algorithms to group data without manual support Learn how to use neural networks to process and classify labeled images Who this book is for The Applied Artificial Intelligence Workshop is designed for software developers and data scientists who want to enrich their projects with machine learning. Although you do not need any prior experience in AI, it is recommended that you have knowle...
    Note: Online resource; Title from title page (viewed July 22, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (322 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key Features Find out how to use Python code to extract insights from data using real-world examples Work with structured data and free text sources to answer questions and add value using data Perform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing data Book Description Data literacy is the ability to read, analyze, work with, and argue using data. Data analysis is the process of cleaning and modeling your data to discover useful information. This book combines these two concepts by sharing proven techniques and hands-on examples so that you can learn how to communicate effectively using data. After introducing you to the basics of data analysis using Jupyter Notebook and Python, the book will take you through the fundamentals of data. Packed with practical examples, this guide will teach you how to clean, wrangle, analyze, and visualize data to gain useful insights, and you'll discover how to answer questions using data with easy-to-follow steps. Later chapters teach you about storytelling with data using charts, such as histograms and scatter plots. As you advance, you'll understand how to work with unstructured data using natural language processing (NLP) techniques to perform sentiment analysis. All the knowledge you gain will help you discover key patterns and trends in data using real-world examples. In addition to this, you will learn how to handle data of varying complexity to perform efficient data analysis using modern Python libraries. By the end of this book, you'll have gained the practical skills you need to analyze data with confidence. What you will learn Understand the importance of data literacy and how to communicate effectively using data Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis Wrangle data and create DataFrames using pandas Produce charts and data visualizations using time-series datasets Discover relationships and how to join data together using SQL Use NLP techniques to work with unstructured data to create sentiment analysis models Discover patterns in real-world datasets that provide accurate insights Who this book is for This book is for aspiring data analysts and data scientists looking for hands-on tutorials and real-world examples to understand data ...
    Note: Online resource; Title from title page (viewed June 19, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800567429
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get up to speed with effectively securing your cloud systems About This Video Understand the key differences between different hosting environments Learn the basics of cloud computing and cloud architecture Find out how to secure cloud systems with the help of Microsoft Azure In Detail Every organization is now migrating to the cloud to save money, but is it really safe? If you're looking to learn about the cloud and how to effectively secure it, as well as build your own virtualized networks inside the Microsoft Azure cloud computing platform, then you're in the right place! In this course, you will learn the fundamentals of cloud-based service technologies, as well as how to secure them. All along, you'll not only learn the theory but also get hands-on experience. You'll understand how to set up your own cloud architecture and protect your cloud systems. As you progress, this course will give you the opportunity to apply your knowledge in the real world by creating your own virtualized network inside the Microsoft Azure cloud computing platform. To build on your knowledge further, you'll get to grips with the difference between on-premise and hosted solutions, as well as SaaS, PaaS, and IaaS. Later, you'll cover single-tenancy and multi-tenancy solutions, along with their security concerns. By the end of this course, you will have gained the skills you need to confidently secure your cloud systems with Microsoft Azure.
    Note: Online resource; Title from title screen (viewed June 29, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789619690
    Language: English
    Pages: 1 online resource (432 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A comprehensive guide to becoming a skilled Azure DevOps engineer Key Features Explore a step-by-step approach to designing and creating a successful DevOps environment Understand how to implement continuous integration and continuous deployment pipelines on Azure Integrate and implement security, compliance, containers, and databases in your DevOps strategies Book Description Implementing Azure DevOps Solutions helps DevOps engineers and administrators to leverage Azure DevOps Services to master practices such as continuous integration and continuous delivery (CI/CD), containerization, and zero downtime deployments. This book starts with the basics of continuous integration, continuous delivery, and automated deployments. You will then learn how to apply configuration management and Infrastructure as Code (IaC) along with managing databases in DevOps scenarios. Next, you will delve into fitting security and compliance with DevOps. As you advance, you will explore how to instrument applications, and gather metrics to understand application usage and user behavior. The latter part of this book will help you implement a container build strategy and manage Azure Kubernetes Services. Lastly, you will understand how to create your own Azure DevOps organization, along with covering quick tips and tricks to confidently apply effective DevOps practices. By the end of this book, you'll have gained the knowledge you need to ensure seamless application deployments and business continuity. What you will learn Get acquainted with Azure DevOps Services and DevOps practices Implement CI/CD processes Build and deploy a CI/CD pipeline with automated testing on Azure Integrate security and compliance in pipelines Understand and implement Azure Container Services Become well versed in closing the loop from production back to development Who this book is for This DevOps book is for software developers and operations specialists interested in implementing DevOps practices for the Azure cloud. Application developers and IT professionals with some experience in software development and development practices will also find this book useful. Some familiarity with Azure DevOps basics is an added advantage. Professionals preparing for the Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions certification will also find this book useful.
    Note: Online resource; Title from title page (viewed June 11, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838642006
    Language: English
    Pages: 1 online resource (580 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build immersive game experiences using the new Unity 2020 features with this practical guide Key Features Unleash the capabilities of C# scripting for creating immersive UI, graphics, Game AI agents and much more Explore Unity's latest tools, including Universal Render Pipeline, Shader Graph, and VFX graph, to enhance graphics and animation Get started with building augmented reality experience using Unity's AR Foundation Book Description Over the years, the Unity game engine has extended its scope from just being about creating video games to building AR/VR experiences, complex simulations, real-time realistic rendering, films, and serious games for training and education. Its features for implementing gameplay, graphics, and customization using C# programming make Unity a comprehensive platform for developing professional-level, rich experiences. With this book, you'll be able to build impressive Unity projects in a step-by-step manner and apply your knowledge of Unity concepts to create a real-world game. Complete with hands-on tutorials and projects, this easy-to-follow guide will show you how to develop your first complete game using a variety of Unity tools. As you make progress, you'll learn how to make the most of the Unity Editor and create scripts using the C# programming language. This Unity game development book will then take you through integrating graphics, sound, and animations and manipulating physics to create impressive mechanics for your games. You'll also learn how to code a simple AI agent to challenge the user and use profiling tools to ensure that the code runs in a performant way. Finally, you'll get to grips with Unity's AR Foundation for creating AR experiences for 3D apps and games. By the end of this book, you'll have developed a complete game and will have built a solid foundation using Unity's tooling ecosystem to develop game projects of any scale. What you will learn Write scripts for customizing various aspects of a game, such as physics, gameplay, and UI Program rich shaders and effects using Unity's new Shader Graph and Universal Render Pipeline Implement postprocessing to increase graphics quality with full-screen effects Create rich particle systems for your Unity games from scratch using VFX Graph and Shuriken Add animations to your game using the Animator, Cinemachine, and Timeline Implement game artificial intelligence (AI) to control character behavior Detect and fix optimization issues using profilers...
    Note: Online resource; Title from title page (viewed July 29, 2020) , Mode of access: World Wide Web.
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  • 90
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (698 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Build and design multiple types of applications that are cross-language, platform, and cost-effective by understanding core Azure principles and foundational concepts Key Features Get familiar with the different design patterns available in Microsoft Azure Develop Azure cloud architecture and a pipeline management system Get to know the security best practices for your Azure deployment Book Description Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions. What you will learn Understand the components of the Azure cloud platform Use cloud design patterns Use enterprise security guidelines for your Azure deployment Design and implement serverless and integration solutions Build efficient data solutions on Azure Understand container services on Azure Who this book is for If you are a cloud architect, DevOps engineer, or a developer looking to learn about the key architectural aspects of the Azure cloud platform, this book is for you. A basic understanding of the Azure cloud platform will help you grasp the concepts covered in this book more effectively.
    Note: Online resource; Title from title page (viewed July 17, 2020) , Mode of access: World Wide Web.
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  • 91
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800563049
    Language: English
    Pages: 1 online resource (1 video file, approximately 16 hr., 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Build 20 mini frontend projects from scratch with HTML5, CSS, and JavaScript About This Video Gain proficiency in building frontend projects from scratch using HTML 5 Explore different concepts of modern JavaScript (ES6+) such as Arrows and Fetch Create animations using CSS and JavaScript In Detail This course will show you how to design projects with HTML5, CSS, and JavaScript without using additional frameworks or libraries. You'll build every project from scratch and explore dynamic functionalities in each apps ranging from simple games and an expense tracker to a breathing relaxation app. The course starts with an introduction to Project HTML and Project CSS along with a brief on how to check the length, email, and password match. In the next section, you'll build a project for movie seat booking and learn how to save data to local storage and then populate the UI with the saved data. As you advance, you'll work on several other projects such as creating a custom video player, creating an exchange rate calculator, hangman game, and much more! By the end of the course, you'll be able to build your own mini frontend projects from scratch confidently using HTML 5, CSS, and JavaScript.
    Note: Online resource; Title from title screen (viewed June 29, 2020) , Mode of access: World Wide Web.
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  • 92
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839211140
    Language: English
    Pages: 1 online resource (526 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Get up to speed with React, React Native, GraphQL and Apollo for building cross-platform native apps with the help of practical examples Key Features Covers the latest features of React such as Hooks, Suspense, NativeBase, and Apollo in this updated third edition Get to grips with the React architecture for writing easy-to-manage web and mobile applications Understand GraphQL and Apollo for building a scalable backend for your cross-platform apps Book Description React and React Native, Facebook's innovative User Interface (UI) libraries, are designed to help you build robust cross-platform web and mobile applications. This updated third edition is improved and updated to cover the latest version of React. The book particularly focuses on the latest developments in the React ecosystem, such as modern Hook implementations, code splitting using lazy components and Suspense, user interface framework components using Material-UI, and Apollo. In terms of React Native, the book has been updated to version 0.62 and demonstrates how to apply native UI components for your existing mobile apps using NativeBase. You will begin by learning about the essential building blocks of React components. Next, you'll progress to working with higher-level functionalities in application development, before putting this knowledge to use by developing user interface components for the web and for native platforms. In the concluding chapters, you'll learn how to bring your application together with a robust data architecture. By the end of this book, you'll be able to build React applications for the web and React Native applications for multiple mobile platforms. What you will learn Delve into the React architecture, component properties, state, and context Get to grips with React Hooks for handling functions and components Implement code splitting in React using lazy components and Suspense Build robust user interfaces for mobile and desktop apps using Material-UI Write shared components for Android and iOS mobile apps using React Native Simplify layout design for React Native apps using NativeBase Write GraphQL schemas to power web and mobile apps Implement web and mobile components that are driven by Apollo Who this book is for This book is for any JavaScript developer who wants to start learning how to use Facebook's UI libraries, React and React Native, for mobile and web application development. Although no prior knowledge of React is needed, working knowledge o...
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 93
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838828219
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn how to use the Python programming language to automate offensive and defensive information security tasks About This Video Learn individual information security techniques using Python Use several powerful pre-built Python libraries for your own purposes Build real information security tools in Python! In Detail The process of finding and eradicating an attacker is time-consuming and costs a lot, which hurts your organization. You need to write tools that will help you automate your defensive and offensive security. As a penetration tester, you need to evolve quickly. When off-the-shelf tools and exploits fall short, writing your own tool will help you safeguard your data. In this course, learn how to leverage Python to perform routine tasks quickly and efficiently. You will automate log analysis and packet analysis with file operations, regular expressions, and analysis modules; interact with websites to collect intelligence; and develop TCP client and server applications for use in penetration testing. You will learn how to build automation tools for information security, and will hopefully find that these examples will help inspire you to design and build your own! By the end of this course, you will have the skills and confidence you need to automate both offensive and defensive security techniques using Python; and have developed several small security tools and one large comprehensive penetration testing tool, all of which can be used in the real world.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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  • 94
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (482 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Take your network automation skills to the next level with practical recipes on managing network devices from a variety of vendors like Cisco, Juniper, and Arista Key Features Use Ansible to automate network infrastructure with the help of step-by-step instructions Implement network automation best practices to save cost, avoid critical errors, and reduce downtime Deliver a robust automation framework by integrating Ansible with NAPALM, NetBox, and Batfish Book Description Network Automation Cookbook is designed to help system administrators, network engineers, and infrastructure automation engineers to centrally manage switches, routers, and other devices in their organization's network. This book will help you gain hands-on experience in automating enterprise networks and take you through core network automation techniques using the latest version of Ansible and Python. With the help of practical recipes, you'll learn how to build a network infrastructure that can be easily managed and updated as it scales through a large number of devices. You'll also cover topics related to security automation and get to grips with essential techniques to maintain network robustness. As you make progress, the book will show you how to automate networks on public cloud providers such as AWS, Google Cloud Platform, and Azure. Finally, you will get up and running with Ansible 2.9 and discover troubleshooting techniques and network automation best practices. By the end of this book, you'll be able to use Ansible to automate modern network devices and integrate third-party tools such as NAPALM, NetBox, and Batfish easily to build robust network automation solutions. What you will learn Understand the various components of Ansible Automate network resources in AWS, GCP, and Azure cloud solutions Use IaC concepts to design and build network solutions Automate network devices such as Cisco, Juniper, Arista, and F5 Use NetBox to build network inventory and integrate it with Ansible Validate networks using Ansible and Batfish Who this book is for This Ansible network automation book is for network and DevOps engineers interested in automating complex network tasks. Prior understanding of networking and basic Linux knowledge is required.
    Note: Online resource; Title from title page (viewed April 17, 2020) , Mode of access: World Wide Web.
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  • 95
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (794 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get to grips with the complete range of Office 2019 applications, explore solutions to common challenges, and discover best practices for working productively Key Features Explore MS Office to enhance productivity and boost your professional development Get up and running with the new and improved features in Microsoft Office 2019 Discover how to overcome common challenges when working with Office 2019 applications Book Description Learn Microsoft Office 2019 provides a comprehensive introduction to the latest versions of Microsoft Word, Excel, PowerPoint, Access, and Outlook. With the help of illustrated explanations, this Microsoft Office book will take you through the updated Office 2019 applications and guide you through implementing them using practical examples. You'll start by exploring the Word 2019 interface and creating professional Word documents using elements such as citations and cover pages, tracking changes, and performing mail merge. You'll then learn how to create impressive PowerPoint presentations and advance to performing calculations and setting up workbooks in Excel 2019, along with discovering its data analysis features. Later chapters will focus on Access 2019, assisting you in everything from organizing a database to constructing advanced queries. You'll then get up to speed with Outlook, covering how to create and manage tasks, as well as how to handle your mail and contacts effortlessly. Finally, you'll find solutions to commonly encountered issues and best practices for streamlining various workplace tasks. By the end of this book, you'll have learned the essentials of Office business apps and be ready to work with them to boost your productivity. What you will learn Use PowerPoint 2019 effectively to create engaging presentations Gain working knowledge of Excel formulas and functions Collaborate using Word 2019 tools, and create and format tables and professional documents Organize emails, calendars, meetings, contacts, and tasks with Outlook 2019 Store information for reference, reporting, and analysis using Access 2019 Discover new functionalities such as Translator, Read Aloud, Scalable Vector Graphics (SVG), and data analysis tools that are useful for working professionals Who this book is for Whether you're just getting started or have used Microsoft Office before and are looking to develop your MS Office skills further, this book will help you to make the most of the different Office applications. Familiarit...
    Note: Online resource; Title from title page (viewed May 29, 2020) , Mode of access: World Wide Web.
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  • 96
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (636 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get started with C# and strengthen your knowledge of core programming concepts such as procedural, object-oriented, generic, functional, and asynchronous programming along with the latest features of C# 8 Key Features Learn the fundamentals of C# with the help of easy-to-follow examples and explanations Leverage the latest features of C# 8, including nullable reference types, pattern matching enhancements, and asynchronous streams Explore object-oriented programming, functional programming, and multithreading concepts Book Description The C# programming language is often developers' primary choice for creating a wide range of applications for desktop, cloud, and mobile. In nearly two decades of its existence, C# has evolved from a general-purpose, object-oriented language to a multi-paradigm language with impressive features. This book will take you through C# from the ground up in a step-by-step manner. You'll start with the building blocks of C#, which include basic data types, variables, strings, arrays, operators, control statements, and loops. Once comfortable with the basics, you'll then progress to learning object-oriented programming concepts such as classes and structures, objects, interfaces, and abstraction. Generics, functional programming, dynamic, and asynchronous programming are covered in detail. This book also takes you through regular expressions, reflection, memory management, pattern matching, exceptions, and many other advanced topics. As you advance, you'll explore the .NET Core 3 framework and learn how to use the dotnet command-line interface (CLI), consume NuGet packages, develop for Linux, and migrate apps built with .NET Framework. Finally, you'll understand how to run unit tests with the Microsoft unit testing frameworks available in Visual Studio. By the end of this book, you'll be well-versed with the essentials of the C# language and be ready to start creating apps with it. What you will learn Get to grips with all the new features of C# 8 Discover how to use attributes and reflection to build extendable applications Utilize LINQ to uniformly query various sources of data Use files and streams and serialize data to JSON and XML Write asynchronous code with the async-await pattern Employ .NET Core tools to create, compile, and publish your applications Create unit tests with Visual Studio and the Microsoft unit testing frameworks Who this book is for If you have little experience in coding or C# and want to learn ...
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 97
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (271 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Gain access to all the information you need to get started with this exciting, cutting-edge operating system Key Features Start with installation and explore advanced topics, such as file sharing using both Samba and NFS Gain insight into using logical volume management and firewall configuration on a Fedora 31 system Get an overview of network management, including using the NetworkManager service Book Description Linux kernel development is perhaps the world's largest collaborative project to date. With Fedora 31 Essentials, you'll be given easily accessible information to install, use, and administer the Fedora 31 distribution. The book begins with a concise history of the Linux operating system and the Fedora project. You'll learn how to install Fedora 31 using the dual boot configuration so that it can coexist with Windows on the same drive. After installing Fedora 31, you'll learn how to use GNOME 3 - the desktop environment included with Fedora 31 that helps you navigate through the distribution. As you progress, you'll explore the Cockpit web interface that enables you to perform tasks via a web browser instead of using the command-line. You'll also learn how to manage user access and roles on the Fedora 31 system by adding, removing, and managing users and groups. While learning advanced topics, you'll discover how to use Fedora Modularity to list, install, and remove the software packages that make up a functioning Fedora 31 system. By the end of the book, you'll have all the information you need to confidently start working with Fedora 31. What you will learn Manage swap space efficiently to maintain the performance of the Fedora 31 system Perform systemd unit configuration tasks using the systemctl command-line tool Add new disk space to increase the capacity of the root file system Configure a basic Linux-based email environment Configure a Fedora 31 system to act as a web server using Apache Create and manage containers on Fedora 31 Who this book is for Fedora 31 Essentials is the ideal book if you're looking for essential information on getting started using the Fedora 31 distribution. Whether you are a developer, a system administrator, or a tech lover with no previous Linux administration background, you'll be able to start your adventure with this book.
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 98
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800209695
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Automate repetitive tasks with Bash Shell Scripting to save valuable time About This Video Learn the basics of Bash Shell Scripting Explore the input and output commands for shell scripting Understand arithmetic operators with detailed explanations In Detail This course is designed to help you automate repetitive tasks and master Bash Shell Scripting easily. With most organizations adopting the open source Linux and Unix operating systems, there is an ever-increasing demand for developers with Linux and Unix skills. This course covers command-line commands and Bash Shell Scripting extensively to help you become a Linux\Unix OS expert.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 99
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800202054
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Explore the Apache Kafka ecosystem and architecture, and learn client API programming in Java About This Video Get to grips with the Apache Kafka ecosystem and components Delve into Kafka Producer API programming in Java In Detail This course is designed to get you up and running with the fundamentals and the working of Apache Kafka with the help of practical examples. You will also delve into client API programming in Java. As you progress, you will not only cover the Apache Kafka stack, but also the architecture of Kafka components and Kafka client APIs (Producers and Consumers). The course will even guide you on how to apply the knowledge you've gained through the course to create efficient Kafka programs in Java. This course is based on Apache Kafka 2.x. All the source code and examples used in this course on Apache Kafka 2.3 open-source distribution have been tested. Several examples in this course also make use of the Confluent Community Version of Kafka. The course will focus on the Confluent Community Version to explain and demonstrate functionalities that are only available in the Confluent Platform, such as Schema Registry and Avro Serdes. This course will be making extensive use of IntelliJ IDEA as the preferred development IDE. However, based on your prior experience, you should be able to work with any other IDE designed for Java application development. Although the course will be using Apache Maven as the preferred build tool, based on your prior experience, you should be able to use any other build tool designed for Java applications. In addition to this, the course will use Log4j2 to teach you industry-standard log implementation in your applications. This course is fully example-driven and several examples will be created in the class. By the end of this course, you will have gained the skills you need to confidently build Kafka programs in Java.
    Note: Online resource; Title from title screen (viewed April 29, 2020) , Mode of access: World Wide Web.
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  • 100
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (817 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Update your Android Studio skills and build modern Android applications using Kotlin Key Features Set up Android development and testing environments Gain core knowledge of the Kotlin programming language Study the design of Android applications and its user interfaces in-depth Book Description The popularity of Kotlin as an Android-compatible language keeps growing every day. This book will help you build your own Android applications using Kotlin. Android Studio 3.6 Development Essentials - Kotlin Edition first shows you how to install Android development and test environments on different operating systems. Next, you will create an Android app and a virtual device in Android Studio and install an Android application on an emulator. You will test apps on emulators and on physical Android devices. Next, you'll explore the features of Android Studio 3.6, Android 10, and Android architecture. The focus then shifts to the Kotlin language. You'll be given an overview of Kotlin, and practice converting code from Java to Kotlin. You'll also explore data types, operators, expressions, loops, functions, and the basics of OOP in Kotlin. The book will then cover Android Jetpack and how to create an example app project using the ViewModel component. You'll study advanced topics such as views and widget implementation, multi-window support integration, and biometric authentication. Finally, you will learn to upload your app to the Google Play Console and handle the build process with Gradle. By the end of this book, you will have gained the knowledge and skills required to develop powerful Android applications using Kotlin. What you will learn Build reliable apps with less error-prone code using Kotlin Use Java-based Android libraries in Kotlin Reduce the amount of code using Android Jetpack Explore unique ways to handle single and multi-touch events Use Gesture libraries to implement gesture and pinch recognition systems Increase your app visibility with app links Who this book is for This book is ideal for anyone who wants to learn how to develop powerful Android Applications using Kotlin and Android Studio 3.6. A basic understanding of Kotlin and Android SDK is recommended.
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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