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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.

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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.

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. 

Leverage foundational concepts and practical skills in mobile device forensics to perform forensically sound criminal investigations involving the most complex mobile devices currently available on the market. Using modern tools and techniques, this book shows you how to conduct a structured investigation process to determine the nature of the crime and to produce results that are useful in criminal proceedings. You'll walkthrough the various phases of the mobile forensics process for both Android and iOS-based devices, including forensically extracting, collecting, and analyzing data and producing and disseminating reports. Practical cases and labs involving specialized hardware and software illustrate practical application and performance of data acquisition (including deleted data) and the analysis of extracted information. You'll also gain an advanced understanding of computer forensics, focusing on mobile devices and other devices not classifiable as laptops, desktops, or servers. This book is your pathway to developing the critical thinking, analytical reasoning, and technical writing skills necessary to effectively work in a junior-level digital forensic or cybersecurity analyst role.  What You'll LearnAcquire and investigate data from mobile devices using forensically sound, industry-standard toolsUnderstand the relationship between mobile and desktop devices in criminal and corporate investigationsAnalyze backup files and artifacts for forensic evidenceWho This Book Is ForForensic examiners with little or basic experience in mobile forensics or open source solutions for mobile forensics. The book will also be useful to anyone seeking a deeper understanding of mobile internals.

Know how to program the Microsoft Kinect and use the device for applications that interact directly with humans through gestures and motion. This book covers the mathematics and theoretical background needed for depth sensing, motion tracking, and object recognition while maintaining a practical focus on getting things done. You will learn to track the human body in three-dimensional space, analyze the human motion, and remove the background to isolate the person being tracked. You will see how to recognize objects and voice, and transform between the three-dimensional physical space and a computer's two-dimensional screen.The book is written with real-world applications in mind. It provides step-by-step tutorials and source code for common use cases. The author has worked with startups and Fortune 500 companies, and all of the examples are taken directly from the industry. The book's practical focus simplifies the core principles, removes the clutter, and allows developers to start writing code right away. Also covered is the use of Azure Cognitive Services on Microsoft's cloud platform and their use for object and voice recognition, enabling your applications to "e;see"e; objects and respond to their environment.What You Will LearnVisualize color, depth, and body dataCalculate angles between different body jointsAnalyze human motion and create fitness applicationsRecognize objects and voice using cloud-powered artificial intelligenceRemove the background from a scene to create virtual worldsWho This Book Is ForDevelopers who want to build demanding Kinect apps and games, and those who are looking for a careful balance between theoretical knowledge and practical application that favors the practical. Readers should have a basic knowledge of C# and some familiarity with the Unity3D engine. 

Here is your in-depth guide to cryptography and cryptanalysis in Java. This book includes challenging cryptographic solutions that are implemented in Java 17 and Jakarta EE 10. It provides a robust introduction to Java 17's new features and updates, a roadmap for Jakarta EE 10 security mechanisms, a unique presentation of the "e;hot points"e; (advantages and disadvantages) from the Java Cryptography Architecture (JCA), and more.The book dives into the classical simple cryptosystems that form the basis of modern cryptography, with fully working solutions (encryption/decryption operations). Pseudo-random generators are discussed as well as real-life implementations. Hash functions are covered along with practical cryptanalysis methods and attacks, asymmetric and symmetric encryption systems, signature and identification schemes.The book wraps up with a presentation of lattice-based cryptography and the NTRU framework library. Modern encryption schemes for cloud and big data environments (homomorphic encryption and searchable encryption) also are included. After reading and using this book, you will be proficient with crypto algorithms and know how to apply them to problems you may encounter.   What You Will Learn Develop programming skills for writing cryptography algorithms in Java Dive into security schemes and modules using Java Explore "e;good"e; vs "e;bad"e; cryptography based on processing execution times and reliability Play with pseudo-random generators, hash functions, etc. Leverage lattice-based cryptography methods, the NTRU framework library, and more  Who This Book Is ForThose who want to learn and leverage cryptography and cryptanalysis using Java. Some prior Java and/or algorithm programming exposure is highly recommended.

Whether you are brand new to the world of digital experiences on the Salesforce platform or you are looking to take your Experience Cloud (previously "e;Community Cloud"e;) knowledge to the next level, this detailed guide will help you build and manage a Salesforce site by leveraging the declarative power of the platform with clicks, not code.Each Salesforce site/community is a part of a widespread ecosystem, with thousands of sites and millions of users active today on Experience Cloud. Through valuable social and business tools, this online platform enables companies to empower and equip their customers, partners, and employees in new, powerful ways.Author Philip Weinmeister, Salesforce MVP and the only recipient of the "e;Community Cloud MVP"e; Trailblazer award from Salesforce, leads you through the ins and outs of Salesforce Experience Cloud and provides you with an array of best practices to deliver top-notch business portals on the Salesforce platform.This completely revised edition updates all content to reflect the new "e;experience-centric"e; branding and a slew of platform updates from the last few years (including screenshots, terminology, features, etc.). Net new content includes Salesforce CMS, the Experience Cloud Consultant certification exam, and Mobile Publisher, among other topics.The book takes you through the entire process: from planning and designing a site to configuration/build, setup, and administration, all the way to deployment. Detailed explanations are provided for key components, templates, and features such as Experience Builder, Audience Targeting, Lightning Bolts, and much more.What You Will LearnPlan and design a site using Experience CloudConceptualize how employees, partners, and customers use and benefit from Salesforce sitesUse Experience Builder and Lightning components within an Experience Builder templateApply topics and knowledge articles to a site to increase value and adoptionBuild and display rich content within a site using Salesforce CMSCreate dynamic and personalized user experiences with audience targetingBuild, export, and import unique templates with the Lightning Bolt solution frameworkProvide site data for members or site managersWho This Book Is ForSalesforce administrators, developers, functional architects, business analysts, and site/community managers.

Unlock your potential and understand how you can have an audience hanging on to your every word. Entrepreneurs and business professionals often have to pitch their products and projects to an audience - whether at a conference stage, meetup group, to VC firms or even at the office to their peers and leaders. Through this book, you will learn how to plan, rehearse, and deliver the perfect presentation for your needs. You'll review different presentation styles, how to craft and structure a talk and how to make it engaging for the audience. If you've ever wondered how you can be chosen to speak at a conference, this book will show you how and go in depth on how to craft a winning talk synopsis and proposal to stand out over the competition. You'll also examine many other details that go into giving a presentation such as face and hand gesturing, pre-performance rituals like visualization techniques, time management , addressing technical difficulties, preparing for question-and-answer sessions, gathering feedback, the differences between in person events and online talks/webinars and how to mold your presentation to the medium. Powerful Presentations will show you how to perfect your public speaking and presentation skills.What You'll LearnExplore the design and structure of presentations that retain an audience's attentionPrepare for a talk, including rehearsal, but also failure contingency planning for things like projectors, Wi-Fi, demo failure, etc.Review all of the useful tools and services available to help you develop and deliver a great presentationWho This Book Is For Professionals who want to design and deliver talks in their chosen fields of expertise, whether that be a software developer or an entrepreneur.