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Use this practical guide to understand the concepts behind Intelligent Multi-modal Security Systems (IMSS) and how to implement security within an IMSS system to improve the robustness of the devices and of the end-to-end solution.There are nearly half a million active IMSS cameras globally, with over 100 million added annually. These cameras are used across enterprises (companies, traffic monitoring, driver enforcement, etc.), in peoples' homes, on mobile devices (drones, on-vehicle, etc.), and are worn on the body.IMSS systems with a camera and network video recorder for storage are becoming the normal infrastructure for capturing, storing, and transmitting video content (sometimes up to 100 streams) in a secure manner and while protecting privacy.Military, aerospace, and government entities are also embracing digital security and surveillance. IMSS content serves as evidence in courts of law.Security within all of these types of IMSS systems needs to be bolstered by leveraging Intel hardware and software as the last line of defense, and this book provides you with best practices and solutions for maximizing security in your system implementation.What You Will LearnReview the relevant technologies in a surveillance systemDefine and dissect the data pipeline with a focus on key criteria and understand the mapping of this pipeline to Intel hardware blocksOptimize the partition and future-proof it with security and manageabilityUnderstand threat modeling terminology, the assets pertinent to DSS, and emerging threats, and learn how to mitigate these threats using Intel hardware and softwareUnderstand the unique risks and threats to the intelligence in IMSS (machine learning training and inferencing, regulations, and standards) and explore the solution space for mitigations to these threatsSample applications illustrate how to design in security for several types of IMSS.-Explore ways to keep both yourself and your systems up to date in a rapidly changing technology and threat environmentWho This Book Is ForSurveillance system designers, integrators, and consultants; professional systems, hardware, and software designers who design, recommend, or integrate surveillance systems; security system integrators; video analytics engineers; agencies that write RFPs and/or RFIs; government, police, and security agencies; and corporate security divisions

Design and analyze electronic components and systems with the help of powerful software and effective skillsets. Balancing theory with practical exploration of the relevant software, you'll start solving power electronics problems like a pro. Using MATLAB®/Simulink®, you'll analyze the circuit in a laptop charger; interface with the power electronics converter controlling a washing machine's motor; turn on lamps with an electronic ballast; convert AC into DC power; and more!Power electronics are at the bedrock of all the wonderful devices simplifying our daily life. Designing them isn't just about understanding schematics. It also requires measuring twice and cutting once. In order to save time and money, a power electronics circuit must be simulated before construction. So you'll learn how to work with one of the most powerful simulation tools for this purpose. That way you'll know before you even go to make it whether the circuit works as expected. Learnto work with MATLAB®/Simulink® by directly applying and building the projects in this book. Or use it as a lab manual for power electronics and industrial electronics. Either way, using strong simulations and solid design theory, you'll be able to build power electronics that don't fail. What You'll LearnSimulate power electronics effectively before building themSelect suitable semiconductor components for your circuit based on simulation waveformsExtract dynamic models of converters and design suitable controllers for themWho This Book Is ForEngineers and students who want to simulate power electronics circuits in MATLAB®/Simulink®.

Welcome to your in-depth professional guide to the open source Eclipse Jakarta EE 10 platform. This book will help you build more complex native enterprise Java-based cloud and other applications that can run in corporate and other mission-critical settings. The majority of the key Jakarta EE 10 APIs or features are dissected in this book, including JSF, JSP, JPA, CDI, REST, Microprofiles, WebSockets, and many more. Along the way, various open source Apache, Eclipse, and other projects are integrated and used for more complete workflows and treatment in general. Jakarta EE 10 comes with a significant number of improvements over Java EE 9 technologies and adopts a series of new technologies. This book starts out with a concise development procedure proposal and shows NetBeans as an alternative IDE to Eclipse. It also talks about versioning, software repositories, and continuous integration techniques. The web tier of enterprise application architectures is covered, including state-of-the-art techniques such as web sockets and front end (JavaScript) related frameworks.The book presents a survey of architecture-related advanced topics, including micro profiles. In a supporting technologies chapter, JSON and XML processing methods are revisited and deepened, and the usage of scripting engines is introduced. A resources chapter discusses enterprise resource integration, such as resource adapters and Hibernate as a mapper between the SQL and the Java world. Also covered is the usage of no-SQL databases. A security chapter shows advanced security enhancement techniques for use of Jakarta EE in corporate environments. The last chapter talks about advanced logging and monitoring techniques, serving both developers and operations staff.What You Will LearnBuild complex Jakarta EE applications that run in corporate or other enterprise settingsCreate a professional development workflow using Jakarta EEBuild more advanced web development applicationsWork with more advanced supporting technologies to increase application maturity and stability in a corporate environment Do enterprise resource integration, including custom resource adaptersUtilize security enhancements of enterprise-level Jakarta EE applicationsLeverage techniques to monitor and log in a corporate environment, including memory usage and performance troubleshootingWho This Book is ForExperienced Java programmers and web developers, especially those with some prior experience with the Java EE platform

Angular 5 updates for this book are now available. Follow the Download source code link for this book on the Apress website.Get the most from Angular 2, the leading framework for building dynamic JavaScript applications. Best-selling author Adam Freeman begins by describing the MVC pattern and the benefits it can offer and then shows you how to use Angular in your projects, starting from the nuts-and-bolts and building up to the most advanced and sophisticated features, going in-depth to give you the knowledge you need.Each topic is covered clearly and concisely and is packed with the details you need to learn to be truly effective. The most important features are given a no-nonsense in-depth treatment and chapters include common problems and details of how to avoid them.What you'll learnGain a solid architectural understanding of the MVC PatternLearn how to create rich and dynamic web app clients using Angular 2Learn how to extend and customize Angular 2Learn how to test your Angular 2 projectsWho this book is forWeb developers with a foundation knowledge of HTML and JavaScript who want to create rich client-side applications.

Rapidly prototype and program new IoT and Edge solutions using low-cost Maker tech, such as those from Arduino, Raspberry Pi and Nvidia. With a focus on the electronics, this book allows experienced computer science students as well as researchers, practitioners, and even hobbyists to dive right into actual engineering of prototypes and not just theoretical programming and algorithms. You'll learn to interface sensors, work with various communication mediums, incorporate wired and wireless communication protocols, and more with these single board computers. All while working in the popular Python programming language. Additionally, yoüll discover both scripting-based and drag and drop solutions for different problems. As well as a variety of useful, data gathering approaches. Then you can apply what yoüve learned to IoT projects and troubleshooting Industry 4.0 problems. The rapid growth of technology and new development initiatives has made the Internet of Things and Edge analytics an inevitable platform in all engineering domains. The need for sophisticated and ambient environments controlled by tech has resulted in an exponential growth of automation and artificial intelligence. Internet of Things Using Single Board Computers reflects these recent developments while providing a low-cost, easy ramp into the fields of IoT using single board computers and Python programming. What You'll LearnProgram Arduino, Raspberry Pi, and Nvidia boards for rapid prototyping in IoT and Edge environmentsInterface sensors, communication mediums, and wired and wireless communications into your programs and projects.Study practical applications of these low-cost solutions in fields such as home automation, smart cities, electrical vehicle charging, and more.Who This Book is ForEngineers and hobbyists working on Internet of Things prototypes and applications. Basic skills in electronics and a working knowledge of Python are recommended. Engineers and scientists working on smart environment projects and smart city applications will also benefit.

Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You'll get to know the concepts using Python code, giving you samples to use in your own projects.What You Will LearnWork with data analysis techniques such as classification, clustering, regression, and forecastingHandle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQLExamine the different big data frameworks, including Hadoop and SparkDiscover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLPWho This Book Is ForData scientists and software developers interested in the field of data analytics.

User level: Beg-Int

Design and implement a modern data lakehouse on the Azure Data Platform using Delta Lake, Apache Spark, Azure Databricks, Azure Synapse Analytics, and Snowflake. This book teaches you the intricate details of the Data Lakehouse Paradigm and how to efficiently design a cloud-based data lakehouse using highly performant and cutting-edge Apache Spark capabilities using Azure Databricks, Azure Synapse Analytics, and Snowflake. You will learn to write efficient PySpark code for batch and streaming ELT jobs on Azure. And you will follow along with practical, scenario-based examples showing how to apply the capabilities of Delta Lake and Apache Spark to optimize performance, and secure, share, and manage a high volume, high velocity, and high variety of data in your lakehouse with ease.The patterns of success that you acquire from reading this book will help you hone your skills to build high-performing and scalable ACID-compliant lakehouses using flexible and cost-efficient decoupled storage and compute capabilities. Extensive coverage of Delta Lake ensures that you are aware of and can benefit from all that this new, open source storage layer can offer. In addition to the deep examples on Databricks in the book, there is coverage of alternative platforms such as Synapse Analytics and Snowflake so that you can make the right platform choice for your needs.After reading this book, you will be able to implement Delta Lake capabilities, including Schema Evolution, Change Feed, Live Tables, Sharing, and Clones to enable better business intelligence and advanced analytics on your data within the Azure Data Platform.What You Will LearnImplement the Data Lakehouse Paradigm on Microsoft¿s Azure cloud platformBenefit from the new Delta Lake open-source storage layer for data lakehouses Take advantage of schema evolution, change feeds, live tables, and moreWritefunctional PySpark code for data lakehouse ELT jobsOptimize Apache Spark performance through partitioning, indexing, and other tuning optionsChoose between alternatives such as Databricks, Synapse Analytics, and SnowflakeWho This Book Is ForData, analytics, and AI professionals at all levels, including data architect and data engineer practitioners. Also for data professionals seeking patterns of success by which to remain relevant as they learn to build scalable data lakehouses for their organizations and customers who are migrating into the modern Azure Data Platform.

Take advantage of PHP 8's powerful features to create basic web applications, solve code tests (required for most job interviews nowadays), and begin moving towards more advanced PHP concepts. This book provides an introduction to PHP 8, including modules, attributes, JIT compiler, and union types, as well as related frameworks such as Symfony.You will explore fundamental PHP concepts through both practical and hands-on examples. You'll not only gain a solid understanding of PHP fundamentals, but will also be prepared to handle new concepts and technologies as they emerge.After working through the book and its associated demo code, you will be able to build your first basic web application.What You Will LearnDevelop web applications with PHP 8Use Vagrant, Docker, JSON API and moreWork with data, form data, arrays, objections, exceptions, regex, and moreUtilize PHP frameworks like Laravel and SymfonyWho This Book Is ForThose new to PHP 8 or PHP in general. Some prior experience in web development and DB handling is recommended.

Write your own Digital Image Processing programs with the use of pillow, scipy.ndimage and matplotlib in Python 3 with Raspberry Pi 3 as the hardware platform, including interfacing Raspberry Pi with image sensors. Master the use of the Pi camera and webcam. This quick-start guide gives working code examples and exercises.

Use artificial intelligence (AI) techniques to build tools for auditing your organization. This is a practical book with implementation recipes that demystify AI, ML, and data science and their roles as applied to auditing. You will learn about data analysis techniques that will help you gain insights into your data and become a better data storyteller. The guidance in this book around applying artificial intelligence in support of audit investigations helps you gain credibility and trust with your internal and external clients. A systematic process to verify your findings is also discussed to ensure the accuracy of your findings.Machine Learning for Auditors provides an emphasis on domain knowledge over complex data science know how that enables you to think like a data scientist. The book helps you achieve the objectives of safeguarding the confidentiality, integrity, and availability of your organizational assets. Data science does not need to be an intimidating concept for audit managers and directors. With the knowledge in this book, you can leverage simple concepts that are beyond mere buzz words to practice innovation in your team. You can build your credibility and trust with your internal and external clients by understanding the data that drives your organization.What You Will LearnUnderstand the role of auditors as trusted advisorsPerform exploratory data analysis to gain a deeper understanding of your organizationBuild machine learning predictive models that detect fraudulent vendor payments and expensesIntegrate data analytics with existing and new technologiesLeverage storytelling to communicate and validate your findings effectivelyApply practical implementation use cases within your organizationWho This Book Is ForAI Auditing is for internal auditors who are looking to use data analytics and data science to better understand their organizational data. It is for auditors interested in implementing predictive and prescriptive analytics in support of better decision making and risk-based testing of your organizational processes. 

Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, and create new algorithms for your own use.Authors Chanchal Chatterjee and Vwani P. Roychowdhury begin by introducing a common framework for creating adaptive algorithms, and demonstrating how to use it to address various streaming data issues. Examples range from using matrix functions to solve machine learning and data analysis problems to more critical edge computation problems. They handle time-varying, non-stationary data with minimal compute, memory, latency, and bandwidth. Upon finishing this book, you will have a solid understanding of how to solve adaptive machine learning and data analytics problems and be able to derive new algorithms for your own use cases. You will also come away with solutions to high volume time-varying data with high dimensionality in a low compute, low latency environment.What You Will LearnApply adaptive algorithms to practical applications and examplesUnderstand the relevant data representation features and computational models for time-varying multi-dimensional dataDerive adaptive algorithms for mean, median, covariance, eigenvectors (PCA) and generalized eigenvectors with experiments on real dataSpeed up your algorithms and put them to use on real-world stationary and non-stationary dataMaster the applications of adaptive algorithms on critical edge device computation applicationsWho This Book Is ForMachine learning engineers, data scientist and architects, software engineers and architects handling edge device computation and data management.

Understand the fundamentals of the Wireshark tool that is key for network engineers and network security analysts. This book explains how the Wireshark tool can be used to analyze network traffic and teaches you network protocols and features.Author Vinit Jain walks you through the use of Wireshark to analyze network traffic by expanding each section of a header and examining its value. Performing packet capture and analyzing network traffic can be a complex, time-consuming, and tedious task. With the help of this book, you will use the Wireshark tool to its full potential. You will be able to build a strong foundation and know how Layer 2, 3, and 4 traffic behave, how various routing protocols and the Overlay Protocol function, and you will become familiar with their packet structure.Troubleshooting engineers will learn how to analyze traffic and identify issues in the network related to packet loss, bursty traffic, voice quality issues, etc. The book will help you understand the challenges faced in any network environment and how packet capture tools can be used to identify and isolate those issues.This hands-on guide teaches you how to perform various lab tasks. By the end of the book, you will have in-depth knowledge of the Wireshark tool and its features, including filtering and traffic analysis through graphs. You will know how to analyze traffic, find patterns of offending traffic, and secure your network.What You Will LearnUnderstand the architecture of Wireshark on different operating systemsAnalyze Layer 2 and 3 traffic framesAnalyze routing protocol trafficTroubleshoot using Wireshark GraphsWho This Book Is ForNetwork engineers, security specialists, technical support engineers, consultants, and cyber security engineers

Master how to implement a repeatable software construction system. This book closely examines how a system is designed to tie a series of activities together that are needed when building software-intensive systems. Software construction and operations don't get enough attention as a repeatable system. The world is stuck in agile backlog grooming sessions, and quality is not increasing. Companies' budgets are shrinking, and teams need a way to get more done with less, consistently. This topic is very relevant to our current economic conditions and continuing globalization trends. A reason we constantly need more hands-on-the-keyboards is because of all the waste created in development cycles. We need more literature on how to "e;do software"e; not just write software.  These goals are accomplished using the concept of evolutions, much like the Navy SEALS train their team members.  For LIFT, the evolutions are: Plan, Build, Test, Release, Operate and Manage.  The entire purpose of the book is instructing professionals how to use these distinct evolutions while remaining agile. And then, inside of each evolution, to explicitly break down the inputs to the evolution, outputs and series of activities taking place. Patterns of Software Construction clearly outlines how together this becomes the system.What You Will LearnOptimize each evolution of a software delivery cycleReview best practices of planning, highest return in the build cycle, and ignored practices in test, release, and operate Apply the highest return techniques during the software build evolutionWho This Book is ForManagers, developers, tech lead, team lead, aspiring engineer, department leaders in corporations, executives, small business owner, IT Director

Create your own crypto currency by implementing blockchain technology using Java. This step-by-step guide will teach you how to create a user interface using Java FX and implement SQLite DB using JDBC Driver for the blockchain.Introducing Blockchain with Java includes numerous exercises and test questions to help you solidify what you have learned as you progress through the book, and provides ideas on expanding the codebase to make it your own. You will have access to a fully-functioning repository with Java code.Upon completing this book, you will have the knowledge necessary to program your own blockchains with Java and you will have a completed project for your portfolio. What You Will LearnKnow the most important theoretical concepts of the blockchainCode the blockchain in JavaCreate a user interface with JavaFXImplement SQLite DB using JDBC DriverCreate a P2P multi-threaded app Create your own cryptocurrency app with full functionalityImplement blockchain technology on a P2P network from scratch using Java, JavaFX, and SQLWho This Book Is ForAnyone with a basic level knowledge of: Java or similar object-oriented programming language, FXML or HTML or similar markup language, and SQL

Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios.The book is divided into three sections. The first section introduces you to number crunching and data analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and visualizations. The second section covers machine learning basics and Scikit-learn library. It also explains supervised learning, unsupervised learning, implementation, and classification of regression algorithms, and ensemble learning methods in an easy manner with theoretical and practical lessons. The third section explains complex neural network architectures with details on internal working and implementation of convolutional neural networks. The final chapter contains a detailed end-to-end solution with neural networks in Pytorch.After completing Hands-on Machine Learning with Python, you will be able to implement machine learning and neural network solutions and extend them to your advantage. What You'll LearnReview data structures in NumPy and Pandas Demonstrate machine learning techniques and algorithmUnderstand supervised learning and unsupervised learning Examine convolutional neural networks and Recurrent neural networksGet acquainted with scikit-learn and PyTorchPredict sequences in recurrent neural networks and long short term memory Who This Book Is ForData scientists, machine learning engineers, and software professionals with basic skills in Python programming.

Use this reference for IT security practitioners to get an overview of the major standards and frameworks, and a proposed architecture to meet them. The book identifies and describes the necessary controls and processes that must be implemented in order to secure your organization's infrastructure.The book proposes a comprehensive approach to the implementation of IT security controls with an easily understandable graphic implementation proposal to comply with the most relevant market standards (ISO 27001, NIST, PCI-DSS, and COBIT) and a significant number of regulatory frameworks from central banks across the World (European Union, Switzerland, UK, Singapore, Hong Kong, India, Qatar, Kuwait, Saudi Arabia, Oman, etc.).To connect the book with the real world, a number of well-known case studies are featured to explain what went wrong with the biggest hacks of the decade, and which controls should have been in place to prevent them. The book also describes a set of well-known security tools available to support you.What You Will LearnUnderstand corporate IT security controls, including governance, policies, procedures, and security awarenessKnow cybersecurity and risk assessment techniques such as penetration testing, red teaming, compliance scans, firewall assurance, and vulnerability scansUnderstand technical IT security controls for unmanaged and managed devices, and perimeter controlsImplement security testing tools such as steganography, vulnerability scanners, session hijacking, intrusion detection, and moreWho This Book Is ForIT security managers, chief information security officers, information security practitioners, and IT auditors will use the book as a reference and support guide to conduct gap analyses and audits of their organizations' IT security controls implementations.

Leverage Apache Spark within a modern data engineering ecosystem. This hands-on guide will teach you how to write fully functional applications, follow industry best practices, and learn the rationale behind these decisions. With Apache Spark as the foundation, you will follow a step-by-step journey beginning with the basics of data ingestion, processing, and transformation, and ending up with an entire local data platform running Apache Spark, Apache Zeppelin, Apache Kafka, Redis, MySQL, Minio (S3), and Apache Airflow.Apache Spark applications solve a wide range of data problems from traditional data loading and processing to rich SQL-based analysis as well as complex machine learning workloads and even near real-time processing of streaming data. Spark fits well as a central foundation for any data engineering workload. This book will teach you to write interactive Spark applications using Apache Zeppelin notebooks, write and compile reusable applications and modules, and fully test both batch and streaming. You will also learn to containerize your applications using Docker and run and deploy your Spark applications using a variety of tools such as Apache Airflow, Docker and Kubernetes.Reading this book will empower you to take advantage of Apache Spark to optimize your data pipelines and teach you to craft modular and testable Spark applications. You will create and deploy mission-critical streaming spark applications in a low-stress environment that paves the way for your own path to production. What You Will LearnSimplify data transformation with Spark Pipelines and Spark SQLBridge data engineering with machine learningArchitect modular data pipeline applications Build reusable application components and libraries Containerize your Spark applications for consistency and reliabilityUse Docker and Kubernetes to deploy your Spark applicationsSpeed up application experimentation using Apache Zeppelin and Docker Understand serializable structured data and data contracts Harness effective strategies for optimizing data in your data lakes Build end-to-end Spark structured streaming applications using Redis and Apache Kafka Embrace testing for your batch and streaming applications Deploy and monitor your Spark applications Who This Book Is ForProfessional software engineers who want to take their current skills and apply them to new and exciting opportunities within the data ecosystem, practicing data engineers who are looking for a guiding light while traversing the many challenges of moving from batch to streaming modes, data architects who wish to provide clear and concise direction for how best to harness and use Apache Spark within their organization, and those interested in the ins and outs of becoming a modern data engineer in today's fast-paced and data-hungry world

Accelerate your Salesforce implementation to provide benefits to your business more rapidly while maintaining control and improving quality.Salesforce has become one of the most influential business tools in our modern age. What started as the world's most comprehensive customer relationship management (CRM) system available in the market place has now morphed over the years into an ecosystem of tools and services that enable you to run your entire business platform.  This book gives you a method (a set of governance processes) that provides a complete view of how to govern and manage any Salesforce implementation. It breaks the architectural components of the Salesforce platform into manageable sections, allowing you to navigate and understand how to govern your Salesforce implementation in a consistent manner with an approach that is structured, repeatable, and clearly defined.   Salesforce Platform Governance Method is divided into nine distinct phases which have been chosen based on how the Salesforce platform is architected. This is relevant today because every organization that implements Salesforce will face the same issues around governance, integration, development, and security and the majority of organizations will find, through trial and error, a solution to govern these components. This book will help Salesforce professionals and enterprise organizations as well as small and mid-sized businesses (SMBs) navigate these topics and ultimately have a successful and fully integrated, secure Salesforce implementation.  What You Will LearnGovern the application architecture on the Salesforce platform, including general architecture, localization and global deployments, workflow and process, formulas and files, and socialGovern the data architecture, including design and data optimization, performance, predictive and actual data volumes, and data movementGovern the identity and access management aspects of the application and Salesforce platformGovern the low-level platform capabilities delivered through Lightning, Visualforce, and ApexHandle community implementations that bring specific features into the Salesforce platform for consideration and governanceCreate checklists for the governance steps, laid out in the method, and for any tooling recommendations that can help simplify the process of governance Who This Book Is ForPeople responsible for maintaining a Salesforce SaaS instance or developing changes for that Salesforce instance. Readers should have a basic understanding of the Salesforce platform and a desire to introduce a level of control around the changes being made, reduce issues on their Salesforce instance, and improve quality while increasing the throughput of changes they want to introduce into the platform.

Welcome to .NET 6, Microsoft's unified framework that converges the best of the modern and traditional .NET Framework. This book will introduce you to the new aspects of Microsoft's fully supported .NET 6 Framework and will teach you how to get the most out of it. You will learn about the progress to one unified .NET, including MAUI and the revival of desktop development. You will dive into Roslyn, Blazor, CLI, Containers, Cloud, and much more, using a "e;framework first"e; learning approach. You will begin by learning what each tool is, its practical uses, and how to apply it and then you will try it out on your own for learning reinforcement. And, of course, there will be plenty of code samples using C# 10.Introducing .NET 6 is aimed at .NET developers, both junior developers and those coming from the .NET framework, who want to understand everything the modern framework has to offer, besides the obvious programming languages. While you will still see a lot of fabulous C# 10 throughout the book, the focus of this learning is all about .NET and its tooling.What You Will LearnBecome a more versatile developer by knowing the variety of options available to you in the .NET 6 framework and its powerful toolingKnow the different front-end frameworks .NET offers, such as UWP, WPF, and WinForms, and how they stack up to each otherUnderstand the different communication protocols, such as REST and gRPC, for your back-end servicesDiscover the secrets of cloud-native development, such as serverless computing with Azure Functions and deploying containers to Azure Container ServicesMaster the command line, take your skill set to the cloud, and containerize your .NET 6 app Who This Book Is ForBoth students and more experienced developers, C# developers who want to learn more about the framework they use, developers who want to be more productive by diving deeper into the tooling that .NET 6 brings to the fold, developers who need to make technical decisions. A working knowledge of C# is recommended to follow the examples used in the book.

MATLAB can run Python code!Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array of computational problems in science, engineering, optimization, statistics, finance, and simulation. It is three books in one:A thorough Python tutorial that leverages your existing MATLAB knowledge with a comprehensive collection of MATLAB/Python equivalent expressionsA reference guide to setting up and managing a Python environment that integrates cleanly with MATLABA collection of recipes that demonstrate Python solutions invoked directly from MATLAB  This book shows how to call Python functions to enhance MATLAB's capabilities. Specifically, you'll see how Python helps MATLAB:Run faster with numbaDistribute work to a compute cluster with daskFind symbolic solutions to integrals, derivatives, and series summations with SymPyOverlay data on maps with CartopySolve mixed-integer linear programming problems with PuLPInteract with Redis via pyredis, PostgreSQL via psycopg2, and MongoDB via pymongoRead and write file formats that are not natively understood by MATLAB, such as SQLite, YAML, and iniWho This Book Is ForMATLAB developers who are new to Python and other developers with some prior experience with MATLAB, R, IDL, or Mathematica.

Become part of the solution to climate change and learn how you can reduce the carbon footprint and increase the sustainability of your IT systems. Learn how to ensure new equipment is as power efficient, sustainable, and repairable as possible. Uncover the sustainability policies of your cloud and IT service providers so you can make thoughtful, cost-sensitive, and environmentally sound decisions when purchasing cloud-based SaaS and other services. Also learn to reduce e-waste in a way that inspires your employees, your stakeholders, and your customers. This book looks at our understanding of climate change and the impact that IT systems have through their constant demand for electrical power from increasingly over-stressed electrical grids and ever-rising energy costs. You will learn what you can do in your own business or organization to lower the electrical and carbon footprints of yourIT systems. You will learn to discover the environmental policies of your cloud providers so you can make cloud-based computing choices with reduced carbon footprints in mind. Author Mike Halsey provides guidance for desktops, with a discussion of settings and practices that can reduce power usage of Windows systems, including home workers using their own equipment, and covering smartphones and tablets with all operating system types. The book will help you examine the broader world and how IT companies and business leaders are pressing ahead toward ambitious climate goals, and you will look at new technologies you can expect to see developed in support of those goals. What You Will LearnManage the power requirements of your existing IT equipment and systems more efficientlyEnsure high levels of power efficiency of any new IT equipment that you purchaseKnow where to look for the sustainability policies of cloud and IT serviceAsk the right questions of suppliers and stakeholdersInspire employees and stakeholders to want to do more to reduce their own carbon footprintWork within charitable, business, and governmental structures to reduce e-waste and help communitiesWho This Book Is ForFor business leaders and system administrators who have been tasked by their company to find cost-efficient and effective ways to reduce the local, national, and global carbon-footprint of their business or organization. For IT professionals looking to bring the company into line with existing and forthcoming national and international environmental standards and regulations. Also for individuals and power users who are keen to reduce the carbon-footprint of their own computer and IT systems.

Build your own Internet of Things (IoT) projects for prototyping and proof-of-concept purposes. This book contains the tools needed to build a prototype of your design, sense the environment, communicate with the Internet (over the Internet and Machine to Machine communications) and display the results.Raspberry Pi IoT Projects provides several IoT projects and designs are shown from the start to the finish including an IoT Heartbeat Monitor, an IoT Swarm, IoT Solar Powered Weather Station, an IoT iBeacon Application and a RFID (Radio Frequency Identification) IoT Inventory Tracking System. The software is presented as reusable libraries, primarily in Python and C with full source code available. Raspberry Pi IoT Projects: Prototyping Experiments for Makers is also a valuable learning resource for classrooms and learning labs.What You'll Learnbuild IOT projects with the Raspberry PiTalk to sensors with the Raspberry PiUse iBeacons with the IOT Raspberry PiCommunicate your IOT data to the InternetBuild security into your IOT deviceWho This Book Is ForPrimary audience are those with some technical background, but not necessarily engineers. It will also appeal to technical people wanting to learn about the Raspberry Pi in a project-oriented method. 

People who discuss digital transformation often focus on new technology with a presumption that the working population will embrace it enthusiastically. But human beings are still instinctively dominated by fear, a single complicating reflex which will always be the default response.Workplace fear comes in many forms, including the fear of change, the fear of looking stupid, and the fear of working relationships, and in all cases these fears have deep roots that extend far below having to learn a new technology. It¿s about the fear of losing a job, a livelihood, and an identity.The results of such fear can have enormous repercussions on an organization, including increased vulnerability to ransomware and cyberattack, increased employee turnover, loss of competitiveness, loss of market share, resistance, sabotage, discrimination, and litigation.Steve Prentice is an expert in the relationship between people,technology, and change. This book will demonstrate to managers and employees alike the various types of fear that can occur in the workplace in the context of digital transformation, how these fears can impact productivity, team dynamics, and corporate health, and most importantly, how to overcome them.Using case studies of digital transformation successes and failures, Steve describes:How fear grows in the body and mindHow fear radiates and spreads through groups and teamsHow fear interacts with technology, change, and digital transformationHow ignoring or suppressing fear leads to tangible risks to an organization¿s futureHow to address and manage fear individually and as a groupHow the demands of modern employees have changedHow managers can prepare themselves for the new normalWho This Book Is For Managers who wish to look underthe hood and understand how people respond to the changes in their immediate world, and why most of those responses are negative. It will also be an uplifting read for individual employees who seek to understand why they, or their colleagues or managers, generally respond negatively to changes, or who struggle with conflict and relationships in the workplace and how to create an action plan to improve the situation.

Augment your knowledge of Python with this entertaining learning guide, which features 100 exercises and programming puzzles and solutions. Python Challenges will help prepare you for your next exam or a job interview, and covers numerous practical topics such as strings, data structures, recursion, arrays, and more.Each topic is addressed in its own separate chapter, starting with an introduction to the basics and followed by 10 to 15 exercises of various degrees of difficulty, helping you to improve your programming skills effectively. Detailed sample solutions, including the algorithms used for all tasks, are included to maximize your understanding of each area. Author Michael Inden also describes alternative solutions and analyzes possible pitfalls and typical errors.Three appendices round out the book: the first covers the Python command line interpreter, which is often helpful for trying out the code snippets and examples in the book, followed by an overview of Pytest for unit testing and checking the solutions. The last explains the O notation for estimating performance.After reading this book, you'll be prepared to take the next step in your career or tackle your next personal project. All source code is freely available for download via the Apress website.What You Will Learn Improve your Python knowledge by solving enjoyable but challenging programming puzzles Solve mathematical problems, recursions, strings, arrays and more Manage data processing and data structures like lists, sets, maps Handle advanced recursion as well as binary trees, sorting and searching Gamify key fundamentals for fun and easier reinforcement Who this book is for:Programmers, software developers who are either professionals or makers, as well as students and teachers. At least some prior experience with the Python programming is recommended.

Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks.All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be opened directly in Google Colab (no need to install anything locally) or downloaded on your own machine and tested locally.You will: * Understand the fundamental concepts of how neural networks work* Learn the fundamental ideas behind autoencoders and generative adversarial networks* Be able to try all the examples with complete code examples that you can expand for your own projects* Have available a complete online companion book with examples and tutorials.This book is for:Readers with an intermediate understanding of machine learning, linear algebra, calculus, and basic Python programming.