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.
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.
Build working implementations of hash tables, written in the C programming language. This book starts with simple first attempts devoid of collision resolution strategies, and moves through improvements and extensions illustrating different design ideas and approaches, followed by experiments to validate the choices.
Hash tables, when implemented and used appropriately, are exceptionally efficient data structures for representing sets and lookup tables, providing low overhead, constant time, insertion, deletion, and lookup operations.
The Joys of Hashing walks you through the implementation of efficient hash tables and the pros and cons of different design choices when building tables. The source code used in the book is available on GitHub for your re-use and experiments.
What You Will LearnMaster the basic ideas behind hash tables
Carry out collision resolution, including strategies for handling collisions and their consequences for performance
Resize or grow and shrink tables as needed
Store values by handling when values must be stored with keys to make general sets and mapsWho This Book Is For
Those with at least some prior programming experience, especially in C programming.
Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making.
Practical DataOps shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output. The book provides an approach to eliminate wasted effort and improve collaboration between data producers, data consumers, and the rest of the organization through the adoption of lean thinking and agile software development principles.
This book helps you to improve the speed and accuracy of analytical application development through data management and DevOps practices that securely expand data access, and rapidly increase the number of reproducible data products through automation, testing, and integration. The book also shows how to collect feedback and monitor performance to manage and continuously improve your processes and output.
What You Will LearnDevelop a data strategy for your organization to help it reach its long-term goals
Recognize and eliminate barriers to delivering data to users at scale
Work on the right things for the right stakeholders through agile collaboration
Create trust in data via rigorous testing and effective data management
Build a culture of learning and continuous improvement through monitoring deployments and measuring outcomes
Create cross-functional self-organizing teams focused on goals not reporting lines
Build robust, trustworthy, data pipelines in support of AI, machine learning, and other analytical data products
Who This Book Is For
Data science and advanced analytics experts, CIOs, CDOs (chief data officers), chief analytics officers, business analysts, business team leaders, and IT professionals (data engineers, developers, architects, and DBAs) supporting data teams who want to dramatically increase the value their organization derives from data. The book is ideal for data professionals who want to overcome challenges of long delivery time, poor data quality, high maintenance costs, and scaling difficulties in getting data science output and machine learning into customer-facing production.
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
Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls. All code snippets will be broken down and discussed thoroughly so you can implement the same principles in your respective environments.
/> Computer Vision Using Deep Learning offers a comprehensive yet succinct guide that stitches DL and CV together to automate operations, reduce human intervention, increase capability, and cut the costs.
What You'll Learn
Examine deep learning code and concepts to apply guiding principals to your own projectsClassify and evaluate various architectures to better understand your options in various use casesGo behind the scenes of basic deep learning functions to find out how they workWho This Book Is ForProfessional practitioners working in the fields of software engineering and data science. A working knowledge of Python is strongly recommended. Students and innovators working on advanced degrees in areas related to computer vision and Deep Learning.
Prepare for the CompTIA Security+ certification exam that covers the skills required to perform core security functions and pursue a career in IT. You will learn the basic principles of network security.
Computer network vulnerabilities and threats are covered and you will learn how to safeguard computer networks. Network security planning, technology, and organization are discussed along with associated legal and ethical issues. Lesson objectives and instruction succinctly review each major topic, including: network fundamentals, operational and organizational security, risk management, wireless security, change management, physical security, forensics, network attacks, and much more.
What You Will Learn
Identify the concepts of confidentiality, integrity, and availabilityImplement secure network administration principlesApply appropriate risk mitigation strategiesExplain the impact of physical security on computer and network securityUse assessment tools to discover security threats and vulnerabilitiesImplement appropriate security controls when performing account management
Who This Book Is For
Security professionals looking to get this credential, including systems administrators, network administrators, security administrators, junior IT auditors and penetration testers, security specialists, security consultants, security engineers, and more
As cryptocurrencies and their underlying data structure, blockchains, become further intertwined in our daily lives, a full understanding of them is essential to anyone who wants to keep up and remain informed of the future of finance. There is no better learning method than a hands-on one, and Learn Blockchain by Building One offers just that.Develop your own blockchain using Python with step-by-step instructions from author Daniel van Flymen, an expert in the field. You will come away with a confident working knowledge of popular cryptocurrencies such as Bitcoin and Ethereum and which foundations make them work. Through helpful exercises and real-world examples, you will understand the core concepts of peer-to-peer networking, proof of work, hashing, encryption, and digital signatures.Learn Blockchain by Building One gives you timely, real-world lessons in blockchain and cryptocurrencies that you will need as our modern society becomes increasingly digitally sophisticated. The lasting implications of such technology, including the security of personal transactions and the role of government regulation, are not to be underestimated. Stay ahead of the curve and become a confident blockchain builder now!
What You Will LearnDevelop a fully-fledged blockchain in PythonObtain a ground-up understanding of of Proof of WorkGrasp core cryptographic concepts, such as hashing, encryption, and digital signaturesUnderstand how gossip protocols and peer-to-peer networking works by implementing a TCP client-serverRealize the differences and trade-offs between popular blockchains such as Bitcoin and Ethereum
Who This Book Is For This book is aimed at intermediate programmers in any area from finance to academia. Readers should be comfortable reading and writing basic Python.
Get a novel perspective on Linux containers and understand the world of virtualization. This book takes you down the rabbit hole to discover what lies below the API. You'll go on a journey of virtualization and see how containers are realized in the Linux world. Linux Containers and Virtualization details the data structures within the Linux kernel which make up Linux containers.
You will start with the fundamentals of virtualization including how different resources such as memory, CPU, network, and storage are virtualized. Then you will move on to hypervisors and virtualization using the Kernel virtual Machine (KVM) and Quick Emulator (QEMU). Next, you will learn about Linux namespace, cgroups, and layered file systems, which are the essential building blocks of Linux containers. The explanation traverses the Linux kernel codebase to show how these are realized in the Linux kernel. In the final chapter, you will code your own container by applying the concepts learnt in the previous chapters.
On completion of the book, you will have the knowledge to start coding a Linux container.
What You Will Learn
Understand the basics of virtualization
Discover how the Linux kernel supports virtualization See how the evolution of the Linux kernel and CPUs led to the creation of containerization technologiesDevelop the ability to create your own container framework
Who This Book Is For
Developers working on virtualized software deployment and containers. Architects designing platforms based on a container runtime as well as DevOps professionals who want to get a microscopic view on how containers and virtualization work would find the book useful.
Discover the functioning and example uses of the Common Lisp condition system. This book supplements already existing material for studying Common Lisp as a language by providing detailed information about the Lisp condition system and its control flow mechanisms; it also describes an example ANSI-conformant implementation of the condition system.
In part 1 of The Common Lisp Condition System, the author introduces the condition system using a bottom-up approach, constructing it piece by piece. He uses a storytelling approach to convey the foundation of the condition system, dynamically providing code to alter the behavior of an existing program. Later, in part 2, you'll implement a full and complete ANSI-conformant condition system while examining and testing each piece of code that you write.
Throughout, the author demonstrates how to extend Lisp using Lisp itself by using the condition system as an example. This is done while paying proper attention to the CL restart subsystem, giving it attention on a par with the handler subsystem. After reading and using this book, you'll have learned about the inner functioning of the condition system, how to use it in your own Common Lisp coding and applications, and how to implement it from scratch, should such a need arise.
What You Will LearnExamine the condition system and see why it is important in Common LispConstruct the condition system from scratch using foundational mechanisms provided by Common LispProgram the condition system and its control flow mechanisms to achieve practical resultsImplement all parts of a condition system: conditions, restarts, handler- and restart-binding macros, signalling mechanisms, assertions, a debugger, and more
Who This Book Is For
Beginning and intermediate Lisp programmers, as well as intermediate programmers of other programming languages.
Access much-needed information for building scalable, high-concurrency applications and deploying them against the Oracle Database. This new edition is updated to be current with Oracle Database 19. It includes a new chapter with troubleshooting recipes to help you quickly diagnose and resolve locking problems that are urgent and block production.
Good transaction design is an important facet of highly-concurrent applications that are run by hundreds, even thousands, of users who are executing transactions at the same time. Transaction design, in turn, relies on a good understanding of how the database engine manages the locking of resources to prevent access conflicts and data loss that might otherwise result from concurrent access to data in the database. This book provides a solid and accurate explanation of how locking and concurrency are dealt with by Oracle Database. You will learn how the Oracle Database architecture accommodates user transactions, and how you can write code to mesh with the way in which Oracle Database is designed to operate.
Oracle Database Transactions and Locking Revealed covers in detail the various lock types, and also different locking schemes such as pessimistic and optimistic locking. Then you will learn about transaction isolation and multi-version concurrency, and how the various lock types support Oracle Database's transactional features. You will learn tips for transaction design, as well as some bad practices and habits to avoid. Coverage is also given to redo and undo, and their role in concurrency. The book is loaded with insightful code examples that drive home each concept. This is an important book that anyone developing highly-concurrent applications will want to have handy on their shelf.
What You Will LearnAvoid application lockups due to conflicts over accessing the same resourceUnderstand how Oracle prevents one application from overwriting another's modificationsCreate transaction designs that mesh with how Oracle Database is designedBuild high-throughput applications supporting thousands of concurrent usersDesign applications to take full advantage of Oracle's powerful database engineGain a fundamental knowledge of Oracle's transaction and locking architectureDevelop techniques to quickly diagnose and resolve common locking issues
Who This Book Is For
Oracle developers and database administrators faced with troubleshooting and solving deadlocks, locking contention, and similar problems that are encountered in high-concurrency environments; and application developers wanting to design their applications to excel at multi-user concurrency by taking full advantage of Oracle Database's multi-versioning and concurrency support
As venture capital and industrial resources are increasingly poured into rapid advances in artificial intelligence, the actual usage and success of AI depends on a satisfactory experience for the user. UX will play a significant role in the adoption of AI technologies across markets, and AI and UX explores just what these demands will entail.
Great effort has been put forth to continuously make AI "smarter." But, will smarter always equal more successful AI? It is not just about getting a product to market, but about getting the product into a user's hands in a form that will be embraced. This demands examining the product from the perspective of the user. Authors Gavin Lew and Robert Schumacher have written AI and UX to examine just how product managers and designers can best strike this balance. From exploring the history of the parallel journeys of AI and UX, to investigating past product examples and failures, to practical expert knowledge on how to best execute a positive user experience, AI and UX examines all angles of how AI can best be developed within a UX framework.The new world of AI necessitates an equally new UX lens through which to see all potential products. While massive inroads have created strides in AI technology, it must be accessible and easy to use for the consumer. Innovators in the field need to shift thinking from "it works" to "it works well," which makes all the difference in increasing adoption. Let your users enhance your data, and let the UX of your product do the selling for you. AI and UX is your roadmap for the future.
What You'll Learn
Understand how the usage and success of AI depends on a great user experience Discover how technology can advance beyond "it works" to "it works well," which subsequently increases its adoptionDetermine what ways can we let the users enhance the data to make AI better attuned to their needsRealize how you can make humans smarter in their interactions with AI
Who This Book Is For
Those interested in AI and future implications; these can be futurists, technophiles, or product designers and product managers working on AI products
Understand how to use equity market metrics such as the price/earnings ratio (and other multiples) to value public and private enterprises. This essential book gives you the tools you need to identify and qualify investments and assess business strategy and performance.
Author George Calhoun, Founding Director of the Quantitative Finance Program at Stevens Institute of Technology, shows you how to use metrics to appraise mergers, acquisitions, and spin-offs. You will be able to shed light on financial market conditions, benchmark fair value assessments, and check and calibrate complex cash flow models.
Market multiples share a peculiar construction: they are based on an explicit apples-to-oranges comparison of market prices with accounting fundamentals, combining data derived from two very different sources and methodologies. This creates ambiguities in interpretation that can complicate the application of these metrics for the many purposes.
Multiples are thus easy to construct, but they can be difficult to interpret. The meanings of certain multiples have evolved over time, and new-and-improved versions have been introduced. The field is becoming more complex and the question of which metrics perform best can be a source of controversy.
What You Will Learn
Know the definitions, interpretations, and applications of all major market ratios, including: price/earnings (trailing and forward), cyclically adjusted price/earnings, cash-adjusted price/earnings, EV/EBITDA, price/sales, dividend yield, and many moreExamine the factors that drive the values of ratios from firm level (such as earnings growth, leverage, and governance) to market level (such as inflation, tax and fiscal policy, monetary policy, and international characteristics)Apply metrics in: investment analysis, index construction, factor models, sum-of-the-parts analysis of corporate structures, and detection of asset bubbles
Who This Book Is For
Professionals at all levels working in the finance industry, especially in fields related to investment management, trading, and investment banking who are involved with valuation and assessing and advising on corporate transactions and interpreting market trends, and university students in finance-related programs at the undergraduate and graduate levels
Discover how to create a simple game environment in Blender 3D, from modeling and texturing game assets, to placing them in a scene. You'll export and import game assets as well as look at open-source game engines that will work with your game assets. Creating Game Environments in Blender 3D introduces the power of Blender 3D when creating a low poly game environment.
The book starts by discussing the basics of game terminology, such as knowing the difference between low poly and high poly assets and the types of game you're likely to work on. You'll also take a brief look at Blender's background and installation. The following chapters talk about the process for creating a simple game environment. This is discussed in detail along with a sample project. These chapters discuss the common tools for starting a game environment and the methods for enhancing your game environment, such as color fundamentals. The final chapter shows how you can export the game assets you created in Blender, how you can import game assets in Blender, and how to evaluate the different game engines available.
This book shows you the exciting side of creating a game environment while showing the power of Blender. After reading it, you will feel confident about creating a game environment.
What You Will Learn
Use Blender to create low poly game environments Work with the common Blender tools for game environment design and development Discover how to use Blender features in depth Compare the Eevee and Cycles game engines Who This Book Is For
Game environment artists who want to use Blender 3D to create a game environment. Some previous exposure to game design and development would be helpful, but not required.
Discover the methodologies and best practices for getting started with container services monitoring using Prometheus, AppDynamics, and Dynatrace. The book begins with the basics of working with the containerization and microservices architecture while establishing the need for monitoring and management technologies. You'll go through hands-on deployment, configuration, and best practices for Prometheus. Next, you'll delve deeper into monitoring of container ecosystems for availability, performance, and logs, and then cover the reporting capabilities of Prometheus. Further, you'll move on to advanced topics of extending Prometheus including how to develop new use cases and scenarios.
You'll then use enterprise tools such as AppDynamics and Wavefront to discover deeper application monitoring best practices. You'll conclude with fully automated deployment of the monitoring and management platforms integrated with the container ecosystem using infrastructure-as -code tools such as Jenkins, Ansible and Terraform. The book provides sample code and best practices for you to look at container monitoring from a holistic viewpoint.
This book is a good starting point for developers, architects, and administrators who want to learn about monitoring and management of cloud native and microservices containerized applications.
What You Will LearnExamine the fundamentals of container monitoringGet an overview of the architecture for Prometheus and Alert Manager Enable Prometheus monitoring for containers Monitor containers using Wavefront Use the guidelines on container monitoring with enterprise solutions AppDynamics and Wavefront Who This Book Is For
Software developers, system administrators, and DevOps engineers working for enterprise customers who want to use monitoring solutions for their container ecosystems.
Create a data warehouse, complete with reporting and dashboards using Google's BigQuery technology. This book takes you from the basic concepts of data warehousing through the design, build, load, and maintenance phases. You will build capabilities to capture data from the operational environment, and then mine and analyze that data for insight into making your business more successful. You will gain practical knowledge about how to use BigQuery to solve data challenges in your organization.
BigQuery is a managed cloud platform from Google that provides enterprise data warehousing and reporting capabilities. Part I of this book shows you how to design and provision a data warehouse in the BigQuery platform. Part II teaches you how to load and stream your operational data into the warehouse to make it ready for analysis and reporting. Parts III and IV cover querying and maintaining, helping you keep your information relevant with other Google Cloud Platform services and advanced BigQuery. Part V takes reporting to the next level by showing you how to create dashboards to provide at-a-glance visual representations of your business situation. Part VI provides an introduction to data science with BigQuery, covering machine learning and Jupyter notebooks.
What You Will LearnDesign a data warehouse for your project or organizationLoad data from a variety of external and internal sourcesIntegrate other Google Cloud Platform services for more complex workflowsMaintain and scale your data warehouse as your organization growsAnalyze, report, and create dashboards on the information in the warehouseBecome familiar with machine learning techniques using BigQuery ML
Who This Book Is For
Developers who want to provide business users with fast, reliable, and insightful analysis from operational data, and data analysts interested in a cloud-based solution that avoids the pain of provisioning their own servers.
Do you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free data science web browser-based product for educational and non-commercial purposes. The power of SAS Studio comes from its visual point-and-click user interface that generates SAS code. It is easier to learn SAS Studio than to learn R and Python to accomplish data cleaning, statistics, and visualization tasks.
The book includes a case study about analyzing the data required for predicting the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the book provides real-life examples including analyzing stocks, oil and gold prices, crime, marketing, and healthcare. You will see data science in action and how easy it is to perform complicated tasks and visualizations in SAS Studio.You will learn, step-by-step, how to do visualizations, including maps. In most cases, you will not need a line of code as you work with the SAS Studio graphical user interface. The book includes explanations of the code that SAS Studio generates automatically. You will learn how to edit this code to perform more complicated advanced tasks. The book introduces you to multiple SAS products such as SAS Viya, SAS Analytics, and SAS Visual Statistics.
What You Will Learn
Become familiar with SAS Studio IDEUnderstand essential visualizationsKnow the fundamental statistical analysis required in most data science and analytics reportsClean the most common data set problemsUse linear progression for data predictionWrite programs in SASGet introduced to SAS-Viya, which is more potent than SAS studio
Who This Book Is For
A general audience of people who are new to data science, students, and data analysts and scientists who are experienced but new to SAS. No programming or in-depth statistics knowledge is needed.
Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You willThis book includes comprehensive coverage of how:
To architect data lake analytics solutions by choosing suitable technologies available on Microsoft AzureThe advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystemThese data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutionsData platform professionals who have been working on relational data stores, non-relational data stores, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer world as it provides an overview of advanced data analytics and touches on data science concepts and various artificial intelligence and machine learning technologies available on Microsoft Azure.
What Will You Learn
You will understand the:
Concepts of data lake analytics, the modern data warehouse, and advanced data analyticsArchitecture patterns of the modern data warehouse and advanced data analytics solutionsPhases-such as Data Ingestion, Store, Prep and Train, and Model and Serve-of data analytics solutions and technology choices available on Azure under each phase
In-depth coverage of real-time and batch mode data analytics solutions architecture
Various managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsightWho This Book Is For
Data platform professionals, database architects, engineers, and solution architects
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.
Begin your programming journey with C++ , starting with the basics and progressing through step-by-step examples that will help you become a proficient C++ programmer. This book includes new features from the C++20 standard such as modules, concepts, ranges, and the spaceship operator. All you need are Beginning C++20 and any recent C++ compiler and you'll soon be writing real C++ programs. There is no assumption of prior programming knowledge.
All language concepts that are explained in the book are illustrated with working program examples, and all chapters include exercises for you to test and practice your knowledge. Free source code downloads are provided for all examples from the text and solutions to the exercises.
This latest edition has been fully updated to the latest version of the language, C++20, and to all conventions and best practices of modern C++. Beginning C++20 also introduces the elements of the C++ Standard Library that provide essential support for the C++20 language.
What You Will LearnBegin programming with the C++20 standardCarry out modular programming in C++Work with arrays and loops, pointers and references, strings, and moreWrite your own functions, types, and operatorsDiscover the essentials of object-oriented programmingUse overloading, inheritance, virtual functions, and polymorphismWrite generic function and class templates, and make them safer using concepts Learn the ins and outs of containers, algorithms, and rangesUse auto type declarations, exceptions, move semantics, lambda expressions, and much more
Who This Book Is For
Programmers new to C++ and those who may be looking for a refresh primer on C++ in general.
Build and deploy your Java-based Android apps using the popular and efficient Android Studio 4 suite of tools, an integrated development environment (IDE) for today's Android developers. With this book, you'll learn the latest and most productive tools in the Android tools ecosystem, ensuring quick Android app development and minimal effort on your part.
Among these tools, you'll use the new Android Studio 4 features, including an upgraded CPU profiler UI, a new build speed window, the multi-preview feature, and the live layout inspector.
After reading and using this book, you'll be able to efficiently build complete Java-based Android apps that run on any Android smartphone, tablet, smart watch and more. You'll also be able to publish those apps and sell them online and in the Google Play store.
What You Will Learn
Use Android Studio 4 to quickly and confidently build your first Android apps Build an Android user interface using activities and layouts, event handling, images, menus, and the action bar Work with new tools in Android Studio 4: Jetpack compose support, a smart editor for ProGuard rules, a new motion layout editor, a new Android Gradle plugin, and a fragment wizard with new fragment templates Integrate data with data persistence Access the cloud
Who This Book Is For
Those who may be new to Android Studio 4 or Android Studio in general. You may or may not be new to Android development. Some prior experience with Java is recommended.