In this chapter, we speculated about what might be coming up in the Google API. Along with the new services, we can expect better tools. As with any web application, Google will be c- tinually improving on the existing components of the Maps API. Tools like the geocoder will eventually expand to cover more countries and improve accuracy as more detailed infor- tion becomes available. Satellite imagery will increase in detail and will be updated continually with more and more recent images. Now we are ready to move on to some more advanced mapping techniques. In the next part of the book, we'll cover a wide variety of complementary concepts for your mapping projects. Chapter 9 demonstrates how to make your own info windows and tool tips, as well as other overlay-related tricks. In Chapter 10, we cover some mathematics you may need in a professional map. Finally, in Chapter 11, we show you how to build your own geocoder from scratch, using a raw data set. PART 3 ? ? ? Advanced Map Features and Methods CHAPTER 9 ? ? ? Advanced Tips and Tricks Beyond what you've seen so far, the Google Maps API has a number of features that are often overlooked. Here, you'll go through a variety of examples to learn how to use some of the more advanced features of the API, such as the ability to change map tiles and the possibility of c- ating your own overlay objects.
This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.x programming language, updated with the latest features of the Julia APIs, libraries, and packages. It presents the essential Julia syntax in a well-organized format that can be used as a handy reference.
This book provides an introduction that reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output, exceptions, metaprogramming, performance, and more. Additionally, you'll learn to interface Julia with other programming languages such as R for statistics or Python. You will learn how to use Julia packages for data analysis, numerical optimization and symbolic computation, and how to disseminate your results in dynamic documents or interactive web pages.
In this book, the focus is on providing important information as quickly as possible. It is packed with useful information and is a must-have for any Julia programmer.
What You Will Learn Set up the software needed to run Julia and your first Hello World exampleWork with types and the different containers that Julia makes available for rapid application developmentUse vectorized, classical loop-based code, logical operators, and blocksExplore Julia functions by looking at arguments, return values, polymorphism, parameters, anonymous functions, and broadcastsBuild custom structures in JuliaInterface Julia with other languages such as C/C++, Python, and RProgram a richer API, modifying the code before it is executed using expressions, symbols, macros, quote blocks, and moreMaximize your code's performance
Who This Book Is For
Experienced programmers new to Julia, as well as existing Julia coders new to the now stable Julia version 1.0 release.
Bring together the Python programming language and Microsoft's PowerShell to address digital investigations and create state-of-the-art solutions for administrators, IT personnel, cyber response teams, and forensic investigators.
You will learn how to join PowerShell's robust set of commands and access to the internals of both the MS Windows desktop and enterprise devices and Python's rich scripting environment allowing for the rapid development of new tools for investigation, automation, and deep analysis.
PowerShell and Python Together takes a practical approach that provides an entry point and level playing field for a wide range of individuals, small companies, researchers, academics, students, and hobbyists to participate.
What You'll Learn
Leverage the internals of PowerShell for: digital investigation, incident response, and forensics
Leverage Python to exploit already existing PowerShell CmdLets and aliases to build new automation and analysis capabilities
Create combined PowerShell and Python applications that provide: rapid response capabilities to cybersecurity events, assistance in the precipitous collection of critical evidence (from the desktop and enterprise), and the ability to analyze, reason about, and respond to events and evidence collected across the enterprise
Who This Book Is For
System administrators, IT personnel, incident response teams, forensic investigators, professors teaching in undergraduate and graduate programs in cybersecurity, students in cybersecurity and computer science programs, and software developers and engineers developing new cybersecurity defenses
Get a practical, hands-on introduction to the Haskell language, its libraries and environment, and to the functional programming paradigm that is fast growing in importance in the software industry. This book contains excellent coverage of the Haskell ecosystem and supporting tools, include Cabal and Stack for managing projects, HUnit and QuickCheck for software testing, the Spock framework for developing web applications, Persistent and Esqueleto for database access, and parallel and distributed programming libraries.You'll see how functional programming is gathering momentum, allowing you to express yourself in a more concise way, reducing boilerplate, and increasing the safety of your code. Haskell is an elegant and noise-free pure functional language with a long history, having a huge number of library contributors and an active community. This makes Haskell the best tool for both learning and applying functional programming, and Practical Haskell takes advantage of this to show off the language and what it can do.What You Will Learn
Get started programming with Haskell
Examine the different parts of the language
Gain an overview of the most important libraries and tools in the Haskell ecosystem
Apply functional patterns in real-world scenarios
Understand monads and monad transformers
Proficiently use laziness and resource management
Who This Book Is ForExperienced programmers who may be new to the Haskell programming language. However, some prior exposure to Haskell is recommended.
Pass the Pivotal Certified Professional exam for Core Spring, based on the latest Spring Framework 5, using source code examples, study summaries, and mock exams. This book now includes WebFlux, reactive programming, and more found in Spring 5. You'll find a descriptive overview of certification-related Spring modules and a single example application demonstrating the use of all required Spring modules. Furthermore, in Pivotal Certified Professional Core Spring 5 Developer Exam, Second Edition, each chapter contains a brief study summary and question set, and the book's free downloadable source code package includes one mock exam (50 questions - like a real exam). After using this study guide, you will be ready to take and pass the Pivotal Certified Professional exam.When you become Pivotal Certified, you will have one of the most valuable credentials in Java. Pivotal certification helps you advance your skills and your career, and get the maximum benefit from Spring. Passing the exam demonstrates your understanding of Spring and validates your familiarity with: container-basics, aspect oriented programming (AOP), data access and transactions, Spring Security, Spring Boot, microservices, and Spring model-view-controller (MVC). Good luck!
What You Will LearnUnderstand the core principles of Spring Framework 5Use dependency injectionWork with aspects in Spring and do AOP (aspect oriented programming)Control transactional behavior and work with SQL and NoSQL databasesCreate and secure web applications based on Spring MVCGet to know the format of the exam and the type of questions in itCreate Spring microservices applications
Who This Book Is ForSpring developers who have taken the Pivotal Core Spring class are eligible to take the Pivotal Certified Professional exam.
Learn to build custom SSIS tasks using Visual Studio Community Edition and Visual Basic. Bring all the power of Microsoft .NET to bear on your data integration and ETL processes, and for no added cost over what you've already spent on licensing SQL Server. If you already have a license for SQL Server, then you do not need to spend more money to extend SSIS with custom tasks and components.
Why are custom components necessary? Because even though the SSIS catalog of built-in tasks and components is a marvel of engineering, there do remain gaps in the functionality that is provided. These gaps are especially relevant to enterprises practicing Data Integration Lifecycle Management (DILMS) and/or DevOps.
One of the gaps is a limitation of the SSIS Execute Package task. Developers using the stock version of that task are unable to select SSIS packages from other projects. Yet it's useful to be able to select and execute tasks across projects, and the example used throughout this book will help you to create an Execute Catalog Package task that does in fact allow you to execute a task from another project. Building on the example's pattern, you can create any task that you like, custom tailored to your specific, data integration and ETL needs.
What You Will LearnConfigure and execute Visual Studio in the way that best supports SSIS task development
Create a class library as the basis for an SSIS task, and reference the needed SSIS assemblies
Properly sign assemblies that you create in order to invoke them from your task
Implement source code control via Visual Studio Team Services, or your own favorite tool set
Code not only your tasks themselves, but also the associated task editors
Troubleshoot and then execute your custom tasks as part of your own projectWho This Book Is For
Database administrators and developers who are involved in ETL projects built around SQL Server Integration Services (SSIS). Readers should have a background in programming along with a desire to optimize their ETL efforts by creating custom-tailored tasks for execution from SSIS packages.
Get started with programming and using the Hashicorp Language (HCL). This book introduces you to the HCL syntax and its ecosystem then it shows you how to integrate it as part of an overall DevOps approach.
Next, you'll learn how to implement infrastructure as code, specifically, using the Terraform template, a set of cloud infrastructure automation tools. As part of this discussion, you'll cover Consul, a service mesh solution providing a full-featured control plane with service discovery, configuration, and segmentation functionality. You'll integrate these with Vault to build HCL-based infrastructure as code solutions.
Finally, you'll use Jenkins and HCL to provision and maintain the infrastructure as code system. After reading and using Beginning HCL Programming, you'll have the know-how and source code to get started with flexible HCL for all your cloud and DevOps needs.
What You Will Learn
Get started with programming and using HCL Use Vault, Consul, and Terraform Apply HCL to infrastructure as code Define the Terraform template with HCL Configure Consul using HCL Use HCL to configure Vault Provision and maintain infrastructure as code using Jenkins and HCL Who This Book Is For
Anyone new to HCL but who does have at least some prior programming experience as well as knowledge of DevOps in general.
Get started using Apache Spark via C# or F# and the .NET for Apache Spark bindings. This book is an introduction to both Apache Spark and the .NET bindings. Readers new to Apache Spark will get up to speed quickly using Spark for data processing tasks performed against large and very large datasets. You will learn how to combine your knowledge of .NET with Apache Spark to bring massive computing power to bear by distributed processing of extremely large datasets across multiple servers.
This book covers how to get a local instance of Apache Spark running on your developer machine and shows you how to create your first .NET program that uses the Microsoft .NET bindings for Apache Spark. Techniques shown in the book allow you to use Apache Spark to distribute your data processing tasks over multiple compute nodes. You will learn to process data using both batch mode and streaming mode so you can make the right choice depending on whether you are processing an existing dataset or are working against new records in micro-batches as they arrive. The goal of the book is leave you comfortable in bringing the power of Apache Spark to your favorite .NET language.
What You Will LearnInstall and configure Spark .NET on Windows, Linux, and macOS Write Apache Spark programs in C# and F# using the .NET bindingsAccess and invoke the Apache Spark APIs from .NET with the same high performance as Python, Scala, and REncapsulate functionality in user-defined functionsTransform and aggregate large datasets Execute SQL queries against files through Apache HiveDistribute processing of large datasets across multiple serversCreate your own batch, streaming, and machine learning programs
Who This Book Is For
.NET developers who want to perform big data processing without having to migrate to Python, Scala, or R; and Apache Spark developers who want to run natively on .NET and take advantage of the C# and F# ecosystems
Take an in-depth look at SAP SuccessFactors talent modules with this complete guide to configuration, administration, and best practices. This two-volume series follows a logical progression of SAP SuccessFactors modules that should be configured to complete a comprehensive talent management solution. The authors walk you through fully functional simple implementations in the primary chapters for each module before diving into advanced topics in subsequent chapters.
In volume 1, we start with a brief introduction. The next two chapters jump into the Talent Profile and Job Profile Builder. These chapters lay the structures and data that will be utilized across the remaining chapters which detail each module. The following eight chapters walk you through building, administering, and using a goal plan in the Goal Management module as well as performance forms in the Performance Management module. The book also expands on performance topics with the 360 form and continuous performance management in two additional chapters. We then dive into configuring the calibration tool and how to set up calibration sessions in the next two chapters before providing a brief conclusion.
Within each topic, the book touches on the integration points with other modules as well as internationalization. The authors also provide recommendations and insights from real world experience. Having finished the book, you will have an understanding of what comprises a complete SAP SuccessFactors talent management solution and how to configure, administer, and use each module within it.
· Develop custom talent profile portlets
· Integrate Job Profile Builder with SAP SuccessFactors talent modules
· Set up security, group goals, and team goals in goals management with sample XML
· Configure and launch performance forms including rating scales and route maps
· Configure and administrate the calibration module and its best practices
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 Learn
build 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.
Expert MySQL is the leading reference for learning, understanding, and extending the MySQL server. It unlocks the full promise of open source by showing how to modify the code, create your own storage engine, build your own authentication plugins, and even add your own functions and commands to the SQL language. No other book provides the level of detail or the extensive examples of the inner workings of MySQL that have taken engineers years to master. Expert MySQL is a must have book for all systems integrators, engineers, and software developers working with the MySQL server code.
Expert MySQL is also a wealth of information on key aspects of MySQL internals. You'll learn about internal query representation, how the optimizer creates execution plans, and how to exert control over those plans for optimal performance in your environment. You'll even learn to build your own query optimizer, giving insight that can help you understand and resolve tough performance problems. High-availability and replication are also covered, making Expert MySQL a must-have book for anyone doing high-end work involving MySQL.
Shows how to customize MySQL and its storage and authentication engines
Provides in-depth knowledge of internals for use in query tuning and performance troubleshooting
Covers high-end features such as high-availability and replication
This book is about coding interview questions from software and Internet companies. It covers five key factors which determine performance of candidates: (1) the basics of programming languages, data structures and algorithms, (2) approaches to writing code with high quality, (3) tips to solve difficult problems, (4) methods to optimize code, (5) soft skills required in interviews. The basics of languages, algorithms and data structures are discussed as well as questions that explore how to write robust solutions after breaking down problems into manageable pieces. It also includes examples to focus on modeling and creative problem solving.Interview questions from the most popular companies in the IT industry are taken as examples to illustrate the five factors above. Besides solutions, it contains detailed analysis, how interviewers evaluate solutions, as well as why they like or dislike them. The author makes clever use of the fact that interviewees will have limited time to program meaningful solutions which in turn, limits the options an interviewer has. So the author covers those bases.Readers will improve their interview performance after reading this book. It will be beneficial for them even after they get offers, because its topics, such as approaches to analyzing difficult problems, writing robust code and optimizing, are all essential for high-performing coders.
Learn to program with Rust in an easy, step-by-step manner on Unix, Linux shell, macOS and the Windows command line. As you read this book, you'll build on the knowledge you gained in previous chapters and see what Rust has to offer.
Beginning Rust starts with the basics of Rust, including how to name objects, control execution flow, and handle primitive types. You'll see how to do arithmetic, allocate memory, use iterators, and handle input/output. Once you have mastered these core skills, you'll work on handling errors and using the object-oriented features of Rust to build robust Rust applications in no time.
Only a basic knowledge of programming is required, preferably in C or C++. To understand this book, it's enough to know what integers and floating-point numbers are, and to distinguish identifiers from string literals.
After reading this book, you'll be ready to build Rust applications.
What You'll LearnGet started programming with Rust
Understand heterogeneous data structures and data sequences
Define functions, generic functions, structs, and more
Work with closures, changeable strings, ranges and slices
Use traits and learn about lifetimes
Who This Book Is For
Those who are new to Rust and who have at least some prior experience with programming in general: some C/C++ is recommended particularly.
Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduced to many popular open-source frameworks, like, SciPy, scikitlearn, Numba, Apache Spark, etc. The book is structured around examples, so you will grasp core concepts via case studies and Python 3 code.
As data science projects gets continuously larger and more complex, software engineering knowledge and experience is crucial to produce evolvable solutions. You'll see how to create maintainable software for data science and how to document data engineering practices.
This book is a good starting point for people who want to gain practical skills to perform data science. All the code will be available in the form of IPython notebooks and Python 3 programs, which allow you to reproduce all analyses from the book and customize them for your own purpose. You'll also benefit from advanced topics like Machine Learning, Recommender Systems, and Security in Data Science.
Practical Data Science with Python will empower you analyze data, formulate proper questions, and produce actionable insights, three core stages in most data science endeavors.
What You'll LearnPlay the role of a data scientist when completing increasingly challenging exercises using Python 3Work work with proven data science techniques/technologies
Review scalable software engineering practices to ramp up data analysis abilities in the realm of Big Data
Apply theory of probability, statistical inference, and algebra to understand the data science practicesWho This Book Is For
Anyone who would like to embark into the realm of data science using Python 3.
Attention .NET developers, here is your starting point for learning how to create and publish augmented reality (AR) apps for iOS devices.
This book introduces and explores iOS augmented reality mobile app development specifically for .NET developers. The continued adoption and popularity of Xamarin, a tool that allows cross-platform mobile application development, opens up many app publishing opportunities to .NET developers that were never before possible, including AR development.
You will use Xamarin to target Apple's augmented reality framework, ARKit, to develop augmented reality apps in the language you prefer-C#. Begin your journey with a foundational introduction to augmented reality, ARKit, Xamarin, and .NET. You will learn how this remarkable collaboration of technologies can produce fantastic experiences, many of them never before tried by .NET developers. From there you will dive into the fundamentals and then explore various topics and AR features. Throughout your learning, proof of concepts will be demonstrated to reinforce learning.
After reading this book you will have the fundamentals you need, as well as an understanding of the overarching concepts that combine them. You will come away with an understanding of the wide range of augmented reality features available for developers, including the newest features included in the latest versions of ARKit.
What You Will Learn
Create rich commercial and personal augmented reality mobile appsExplore the latest capabilities of ARKitExtend and customize chapter examples for building your own amazing appsGraduate from traditional 2D UI app interfaces to immersive 3D AR interfaces
Who This Book Is For
Developers who want to learn how to use .NET and C# to create augmented reality apps for iOS devices. It is recommended that developers have some Xamarin experience and are aware of the cross-platform options available to .NET. A paid Apple developer account is not needed to experiment with the AR code samples on your devices.
Understand the newest trend in database programming for developers working in Java, Kotlin, Clojure, and other JVM-based languages. This book introduces Reactive Relational Database Connectivity (R2DBC), a modern way of connecting to and querying relational databases from Java and other JVM languages. The book begins by helping you understand not only what reactive programming is, but why it is necessary. Then building on those fundamentals, the book takes you into the world of databases and the newly released Reactive Relational Database Connectivity (R2DBC) specification.
Examples in the book are worked using the freely available MariaDB database along with MariaDB's vendor-implementation of the R2DBC service-provider interface (SPI). Following along with the examples and the provided example code helps prepare you to work with any of the growing number of R2DBC implementations for popular enterprise databases such as Oracle Database and SQL Server. You'll be well prepared for what is becoming the future of database access from Java and other languages built on the JVM.
What You Will LearnUnderstand why R2DBC was created and how it utilizes the Reactive Streams API Understand the components of the R2DBC service-provider interfaceCreate and manage reactive database connections and connection pools using an R2DBC clientProgrammatically execute queries on a relational database using an R2DBC clientEffectively utilize transactions using an R2DBC clientBuild relational database-driven applications that are event-driven and non-blocking
Who This Book Is For
Software developers building solutions using JVM languages and the JVM ecosystem, and developers who need an introduction to the R2DBC specification and reactive programming with relational databases and want to understand what Reactive Relational Database Connectivity is and why it came about. This book includes practical examples of using the R2DBC specification with Java and MariaDB that will provide developers with the knowledge they need to create their own solutions.
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook's Artificial Intelligence Research Group.
You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms.
You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models. All the key architectures in deep learning are covered, including feedforward networks, convolution neural networks, recurrent neural networks, long short-term memory networks, autoencoders and generative adversarial networks. Backed by a number of tricks of the trade for training and optimizing deep learning models, this edition of Deep Learning with Python explains the best practices in taking these models to production with PyTorch.
What You'll LearnReview machine learning fundamentals such as overfitting, underfitting, and regularization.Understand deep learning fundamentals such as feed-forward networks, convolution neural networks, recurrent neural networks, automatic differentiation, and stochastic gradient descent.Apply in-depth linear algebra with PyTorchExplore PyTorch fundamentals and its building blocksWork with tuning and optimizing models Who This Book Is For
Beginners with a working knowledge of Python who want to understand Deep Learning in a practical, hands-on manner.
If you are curious about the basics of artificial intelligence, blockchain technology, and quantum computing as key enablers for digital transformation and innovation, Digital Fluency is your handy guide. The real-world applications of these cutting-edge technologies are expanding rapidly, and your daily life will continue to be affected by each of them. There is no better time than now to get started and become digitally fluent.You need not have previous knowledge of these versatile technologies, as author Volker Lang will expertly guide you through this digital age. He illustrates key concepts and applications in numerous practical examples and more than 48 catchy figures throughout Digital Fluency. The end of each chapter presents you with a helpful implementation checklist of central lessons before proceeding to the next. This book gets to the heart of digital buzzwords and concepts, and tells you what they truly mean. Breaking down topics such as automated driving and intelligent robotics powered by artificial intelligence, blockchain-based cryptocurrencies and smart contracts, drug development and optimization of financial investment portfolios by quantum computing, and more is imperative to being ready for what the future of industry holds. Whether your own digital transformation journey takes place within your private or public organization, your studies, or your individual household, Digital Fluency maps out a concrete digital action plan for all of your technology and innovation strategy needs.
What You Will Learn Gain guidance in the digital age without requiring any previous knowledge about digital technologies and digital transformationGet acquainted with the most popular current and prospective applications of artificial intelligence, blockchain technology, and quantum computing across a wide range of industries including healthcare, financial services, and the automobile industryBecome familiar with the digital innovation models of Amazon, Google, Microsoft, IBM, and other world-leading organizations Implement your own digital transformation successfully along the eight core dimensions of a concrete digital action plan
Who This Book Is ForThought-leaders, business executives and industry strategists, management and strategy consultants, politicians and policy makers, entrepreneurs, financial analysts, investors and venture capitalists, students and research scientists, as well as general readers, who want to become digitally fluent.
Design, develop, and validate machine learning models with streaming data using the Scikit-Multiflow framework. This book is a quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming data with Python to generate real-time insights.
You'll start with an introduction to streaming data, the various challenges associated with it, some of its real-world business applications, and various windowing techniques. You'll then examine incremental and online learning algorithms, and the concept of model evaluation with streaming data and get introduced to the Scikit-Multiflow framework in Python. This is followed by a review of the various change detection/concept drift detection algorithms and the implementation of various datasets using Scikit-Multiflow.Introduction to the various supervised and unsupervised algorithms for streaming data, and their implementation on various datasets using Python are also covered. The book concludes by briefly covering other open-source tools available for streaming data such as Spark, MOA (Massive Online Analysis), Kafka, and more.
What You'll LearnUnderstand machine learning with streaming data conceptsReview incremental and online learningDevelop models for detecting concept driftExplore techniques for classification, regression, and ensemble learning in streaming data contextsApply best practices for debugging and validating machine learning models in streaming data contextGet introduced to other open-source frameworks for handling streaming data.Who This Book Is For
Machine learning engineers and data science professionals
This book shows you how military counter-intelligence principles and objectives are applied. It provides you with valuable advice and guidance to help your business understand threat vectors and the measures needed to reduce the risks and impacts to your organization. You will know how business-critical assets are compromised: cyberattack, data breach, system outage, pandemic, natural disaster, and many more.
Rather than being compliance-concentric, this book focuses on how your business can identify the assets that are most valuable to your organization and the threat vectors associated with these assets. You will learn how to apply appropriate mitigation controls to reduce the risks within suitable tolerances.
You will gain a comprehensive understanding of the value that effective protective security provides and how to develop an effective strategy for your type of business.
What You Will Learn
Take a deep dive into legal and regulatory perspectives and how an effective protective security strategy can help fulfill these ever-changing requirementsKnow where compliance fits into a company-wide protective security strategySecure your digital footprintBuild effective 5 D network architectures: Defend, detect, delay, disrupt, deterSecure manufacturing environments to balance a minimal impact on productivitySecuring your supply chains and the measures needed to ensure that risks are minimized
Who This Book Is For
Business owners, C-suite, information security practitioners, CISOs, cybersecurity practitioners, risk managers, IT operations managers, IT auditors, and military enthusiasts
Get the most from ASP.NET Core Identity. Best-selling author Adam Freeman teaches developers common authentication and user management scenarios and explains how they are implemented in applications. He covers each topic clearly and concisely, and the book is packed with the essential details you need to be effective.The book takes a deep dive into the Identity framework and explains how the most important and useful features work in detail, creating custom implementations of key components to reveal the inner workings of ASP.NET Core Identity. ASP.NET Core Identity provides authentication and user management for ASP.NET Core applications. Identity is a complex framework in its own right, with support for a wide range of features, including authenticating users with services provided by Google, Facebook, and Twitter.
What You Will Learn
Gain a solid understanding of how Identity provides authentication and authorization for ASP.NET Core applicationsConfigure ASP.NET Core Identity for common application scenarios, including self-service registration, user management, and authentication with services provided by popular social media platformsCreate robust and reliable user management toolsUnderstand how Identity works in detail
Who This Book Is ForDevelopers with advanced knowledge of ASP.NET Core who are introducing Identity into their projects. Prior experience and knowledge of C#, ASP.NET Core is required, along with a basic understanding of authentication and authorization concepts.
Implement blockchain from scratch covering all the details with Racket, a general-purpose Lisp. You'll start by exploring what a blockchain is, so you have a solid foundation for the rest of the book. You'll then be ready to learn Racket before starting on your blockchain implementation. Once you have a working blockchain, you'll move onto extending it. The book's appendices provide supporting resources to help you in your blockchain projects.
The recommended approach for the book is to follow along and write the code as it's being explained instead of reading passively. This way you will get the most out of it. All of the source code is available for free download from GitHub.
What You Will LearnDiscover the Racket programming language and how to use itImplement a blockchain from scratch using LispImplement smart contracts and peer-to-peer supportLearn how to use macros to employ more general abstractionsWho This Book Is For
Novices that have at least some experience with programming, as well as some basic working experience with computers. The book also assumes some experience with high school mathematics, such as functions.
Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of Practical R 4 dives into specific projects and examples starting with running and analyzing a survey using R and LimeSurvey. Next, you'll carry out advanced statistical analysis using R and MouselabWeb. Then, you'll see how R can work for you without statistics, including how R can be used to automate data formatting, manipulation, reporting, and custom functions.
The final part of this book discusses using R on a server; you'll build a script with R that can run an RStudio Server and monitor a report source for changes to alert the user when something has changed. This project includes both regular email alerting and push notification. And, finally, you'll use R to create a customized daily rundown report of a person's most important information such as a weather report, daily calendar, to-do's and more. This demonstrates how to automate such a process so that every morning, the user navigates to the same web page and gets the updated report.What You Will Learn Set up and run an R script, including installation on a new machine and downloading and configuring R Turn any machine into a powerful data analytics platform accessible from anywhere with RStudio Server Write basic R scripts and modify existing scripts to suit your own needs Create basic HTML reports in R, inserting information as neededBuild a basic R package and distribute it
Who This Book Is For
Some prior exposure to statistics, programming, and maybe SAS is recommended but not required.
Learn how to program using C, beginning from first principles and progressing through step-by-step examples to become a competent, C-language programmer. All you need are this book and any of the widely available C compilers, and you'll soon be writing real C programs.
You'll discover that C is a foundation language that every programmer ought to know. Beginning C is written by renowned author Ivor Horton and expert programmer German Gonzalez-Morris. This book increases your programming expertise by guiding you through the development of fully working C applications that use what you've learned in a practical context. You'll also be able to strike out on your own by trying the exercises included at the end of each chapter. At the end of the book you'll be confident in your skills with all facets of the widely-used and powerful C language.
What You Will Learn
Discover the C programming language Program using C starting with first steps, then making decisions Use loops, arrays, strings, text, pointers, functions, I/O, and more Code applications with strings and text Structure your programs efficiently Work with data, files, facilities, and more Who This Book Is For
Those new to C programming who may or may not have some prior programming experience.