Programming and scripting languages: general Books

Book SynopsisTable of Contents​Chapter 1. Introduction to SteamlitChapter Goal: Introduce the reader to the Streamlit libraryNo of pages - 10Sub -Topics1. A brief introduction to Streamlit2. Pre-requisites and installation guide for Streamlit3. Creating our first Streamlit application Chapter 2. Texts & Table ElementsChapter Goal: The text is one of the important features that will be discussed in this chapter.No of pages - 10Sub -Topics1. Write title, header, sub-header, markdown and a caption.2. Code text, latex and default text in an application.3. json, table, metric and dataframe in the application.Chapter 3. Charts / Visualization Chapter Goal: Visualization is one of the important aspects in data science and machine learning. The visualizing techniques helps to understand the data more appropriately. In this chapter, we will implement different visualizing techniques that are available in python for data science and machine learning developers. No of pages - 20Sub -Topics1. Implementing simple charts 2. Visualizing data using interactive charts in the application.3. Implementing data into the maps. Chapter 4. Data and Media ElementsChapter Goal: In this chapter, we will learn how media elements can be used in the streamlit application. No of pages - 20Sub -Topics1. We will first try to implement simple charts to start with and display them on the application.2. Next, we will visualize data using interactive charts in the application.3. At last, we will see how we can use data into the maps. Chapter 5. ButtonsChapter Goal: One more important feature from Streamlit are buttons. These buttons are used to select the required data to process or visualize in the application developed. No of pages - 20Sub -Topics1. Introduction to buttons2. Discuss various buttons like download button, checkbox, radio buttons and multiselect.3. Sliders to select specific range of data.Chapter 6. FormsChapter Goal: This chapter mainly focusses on data that will be provided by the user to process data in the application. We will discuss user data in terms forms. No of pages - 20Sub -Topics1. Discuss various types input data like numbers and text.2. Discuss advanced input data like date, time, file uploads and color picker. 3. Getting live image data from webcamChapter 7. NavigationsChapter Goal: This chapter discusses about navigation on the application to be developed. The primary aim is to learn how to switch between multiple pages in an application using navigation. No of pages - 20Sub -Topics1. Discuss on navigation. 2. Discuss the complex layouts associated with it.3. Discuss on containers that can be used to hold multiple elements in it.Chapter 8. Control Flow and StatusChapter Goal: We will discuss on custom handling of application using control flow in this chapter. We will also learn on status elements provided by streamlit. No of pages - 20Sub -Topics1. Handling functionality of the application using control flow. 2. Flow control of application can be changed from its default flow.3. We will also check on the what are status elements? and their types available in Streamlit.Chapter 9. Advanced FeaturesChapter Goal: In this chapter, we will discuss on huge data handling, mutating data and optimizing performance of the Streamlit application. No of pages - 20Sub -Topics1. Handling huge data in the Streamlit Application developed for data science and machine learning.2. Implementing various optimizing techniques to improve performance of the application. 3. How to mutate data in live application.Chapter 10. Project BuildChapter Goal: Finally, we will discuss to build and run complete application on various platforms. No of pages - 10Sub -Topics1. Discuss various application platforms available.2. Pre-requisites to implement developed application on these platforms.3. Implement and run the project.4. Test application on deployment and create requirement files for it.Chapter 11. Use case: NLP Project PrototypeChapter Goal: This chapter discusses about navigation on the application to be developed. The primary aim is to learn how to switch between multiple pages in an application using navigation. No of pages - 10Sub -Topics1. Pre-requisites.2. NLP module that will be implemented in our application.3. Test application after deployment.Chapter 12. Use case: Computer Vision Project PrototypeChapter Goal: We will develop a complete streamlit application on Computer Vision from scratch. We will see how all the features we have seen in the above chapters will be implemented in this application No of pages - 10Sub -Topics1. Pre-requisite.2. Computer Vision techniques that needs to implemented.3. Test all functions implemented on our deployed application.

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Book SynopsisDiscover a new way of thinking about business applications in light of the massive industry shift toward cloud computing and reactive programming technologies. This book synthesizes technologies and techniques such as event sourcing, command query responsibility segregation (CQRS), property-based testing, and GraphQL into a cohesive guide for modern business applications that benefit every developer.The book begins with a look at the fundamentals of modern business applications. These fundamentals include business rules and the managing of data over time. The benefits of reactive techniques are explained, including how they are fundamentally aligned with what application developers strive to achieve in their work.Author Peter Royal equips you with sound guidance to follow as you evolve your existing systems, as well as examples of how to build those systems using modern techniques in Spring, Java, and PostgreSQL.Table of ContentsPart I. On Business Applications1. What Is A Business Application?2. The Status Quo (and How It Can To Be)Part II. Design Prerequisites 3. What Is A Reactive System?4. Why Build Business Applications as Reactive Systems?5. What Is A Business Rule?6. Managing TimePart III. Design7. Constraints and Principles8. High-Level Data Flow9. Command Processor10. Command Generator11. Event Materializer12. Testing, Monitoring, and Observability13. Required TechnologiesPart IV. Implementation14. Building with Modern Spring, Java, and PostgreSQL15. Expansion Points and Beyond

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Book SynopsisOverhaul your debugging techniques and master the theory and tools needed to debug and troubleshoot cloud applications in production environments. This book teaches debugging skills that universities often avoid, but that typically consume as much as 60% of our time as developers. The book covers the use of debugger features such as tracepoints, object marking, watch renderers, and more. Author Shai Almog presents a scientific approach to debugging that is grounded in theory while being practical enough to help you to chase stubborn bugs through the maze of a Kubernetes deployment. Practical Debugging at Scale assumes a polyglot environment as is common for most enterprises, but focuses on JVM environments. Most of the tooling and techniques described are applicable to Python, Node, and other platforms, as well as to Java and other JVM languages. The book specifically covers debugging in production, an often-neglected discipline but an all too painful reaTable of ContentsIntroductionPart I. Basics1. Know Your Debugger2. The Checklist3. The Auxiliary Tools4. Logging, Testing, and Fail Fast5. Time Travel DebuggingPart II. The Modern Production Environment6. Debugging Kubernetes7. Serverless Debugging8. Fullstack Debugging9. Observability and Monitoring10. Developer ObservabilityPart III. In Practice11. Tools of Learning12. Performance and Memory13. Security14. Bug Strategies

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Book SynopsisAs a programming language, Java's object-oriented nature is key to creating powerful, reusable code and applications that are easy to maintain and extend.That being said, many people learn Java syntax without truly understanding its object-oriented roots, setting them up to fail to harness all of the power of Java. This book is your key to learning both!This new third edition of Beginning Java Objects: From Concepts to Codediscusses Java syntax, object principles, and how to properly structure the requirements of an application around an object architecture. It is unique in that it uses a single case study of a Student Registration System throughout the book, carrying the reader from object concepts, to object modeling, to building actual code for a full-blown application. A new chapter covers a technology-neutral discussion of the principles of building a three-tier architecture using Java, introducing the notion of model layer presentation layer data layer separation. Coding eTable of ContentsPart I: The ABCs of ObjectsChapter 1: Abstraction and ModelingChapter Goal: Introducing the mechanism of abstraction as a natural way for humans to interpret the world, and how this relates to object modeling in the software realm.Subtopics:• Simplification through abstraction• Generalization through abstraction• Reusing abstractionsChapter 2: Some Java BasicsChapter Goal: Provide the reader with an immediate introduction to Java language fundamentals so that object concepts can be illustrated using Java code examples as soon as we begin introducing them in chapter 3.Subtopics:• Strengths of the Java language• Primitive Java types• The anatomy of a Java program• Mechanics of compiling and running a Java program• Java’s block structured nature• Elements of Java programming styleChapter 3: Objects and ClassesChapter Goal: Explain the basic building blocks of an OO application – classes as mini-abstractions aka templates for creating object instances.Subtopics:• Advantages of an OO approach to software development over a non-OO approach• How classes are used to specify a type of object’s data • How objects are created (instantiated) at run time• The use of reference variables to refer to objects symbolicallyChapter 4: Object InteractionsChapter Goal: Explain how object behaviors are defined as methods within classes, and how objects collaborate by invoking one another’s methods to accomplish the overall mission of the system.Subtopics:• How methods are used to specify an object’s behaviors• The anatomy of a Java method• How objects send messages to one another to accomplish collaboration• How classes use public and private visibility to publicize what services a type of object can perform while hiding both the logic for how the service is accomplished and the internal data structure needed to support the service• The use of constructors to instantiate the state of an object when first instantiated Chapter 5: Relationships Between ObjectsChapter Goal: Explains the notion of a structural relationship between two objects, wherein the data structures of the classes to which they belong are designed to maintain lasting relationships between objects once instantiated. The two main approaches to accomplishing this are (a) encoding associations between two classes of objects as reference variables within their data structures, (b) having one class inherit and extend the capabilities of another.Subtopics:• Types of structural relationships maintained by objects: associations, aggregations, inheritance• The inheritance mechanism, and guidelines for what we can and cannot achieve when deriving new classes via inheritance• Revisiting constructors regarding some complexities that must be understood when inheritance is involvedChapter 6: Collections of ObjectsChapter Goal: Introduce a special category of objects (classes) known as collections, to be used for efficiently managing an indefinite number of objects of the same type.Subtopics:• The properties of three generic collection types: ordered lists, sets, and dictionaries• The specifics of several different commonly-used built-in Java collection types• The concept of Java packages as logical groupings of classes, and the use of import statements• The power of collections in modeling very sophisticated real-world scenarios• Design techniques for programmer-defined collection typesChapter 7: Some Final Object ConceptsChapter Goal: Covers several key but often misunderstood advanced language features that are essential to taking full advantage of Java’s object-oriented nature: polymorphism (how a single line of code representing a method invocation can exhibit a variety of different behaviors at run time); abstract methods, classes, and interfaces; and static features (data/methods belonging to an entire class of objects versus objects individually).Subtopics:• The runtime mechanism of polymorphism• Abstract classes and methods• The incredible power of interfaces in streamlining Java code• Static featuresPart II: Object Modeling 101Chapter 8: The Object Modeling Process in a NutshellChapter Goal: A high-level overview of how to approach the requirements of a system so as to structure it from the ground up to take advantage of all of the strengths of an OO language like Java.Subtopics:• The goals of and philosophy begin object modeling• Flexibility in terms of selecting or devising a modeling methodology• The pros and cons of using object modeling software toolsChapter 9: Formalizing Requirements Through Use CasesChapter Goal: Explains the importance of developing use cases when establishing requirements for an application, to ensure that (a) all categories of intended user are identified, (b) all of the services that each user category will expect the system to provide, and (c) what their expectations are of the desired outcome for each of the service types.Subtopics:• Introduction to use cases• The notion of actors • Involving users in defining use cases• Approaches to documenting/diagramming use casesChapter 10: Modeling the Data Aspects of the SystemChapter Goal: Illustrate the process by which the types of classes, their respective data structures, and their interrelationships can be discovered and rendered graphically using UML notation.Subtopics:• Technique for identifying the appropriate classes and their respective attributes• Technique for determining the structural relationships that exist among these classes• How to graphically portray this information in proper UML notationChapter 11: Modeling the Behavioral Aspects of the SystemChapter Goal: Revisiting the evolving object model of chapter 10 to reflect the services/behaviors/methods required of each identified class to ensure that the overall requirements of the application will be satisfied.Subtopics:• How the behaviors (method execution) of an object affects its state (data)• Developing scenarios for how use cases (defined in chapter 9) might play out• Creating sequence diagrams based on scenarios• Using sequence diagrams to determine methodsChapter 12: Wrapping Up Our Modeling EffortsChapter Goal: This chapter focuses on ways to test a model before coding begins, as well as Subtopics:• Testing the model• Revisiting requirements and adapting the model as necessary• Reusing models in the form of design patterns Part III: Translating an Object Blueprint into Java CodeChapter 13: A Few More Key Java Details (retitled from 2nd edition)Chapter Goal: Covering a variety of important Java topics that were not essential to illustrating the object concepts of Part I per se, but which are nonetheless key to a rounding out a beginning level Java programmer’s facility with the language. I plan on eliminating a few sections from this chapter if I determine that any of the topics covered are *not* essential to understanding the Student Registration System (SRS) code of chapter 14.Subtopics:• Java application architecture, revisited• Nature and purpose of Java Archive (JAR) files• Java documentation comments• Object nature of Strings• Java enums (enumerations)• Object self-referencing via the “this” keyword• The nature of run-time exceptions, how to handle them, and how to define and use custom exception types• Important features of the built-in Object class• Techniques for command line input• Remove: discussion of inner classes (no longer needed since we are eliminating the chapter on the Swing API)• Remove: narrative regarding Java version 5 language enhancementsChapter 14: Transforming Your Model into Java CodeChapter Goal: In this chapter, I pull together all that we’ve covered in Part I of the book to render the UML model created in Part II of the book into a complete, fully functioning model layer for the Student Registration System. This code can be run from the command line, and will be downloadable from the Apress website.Subtopics: How to code …• … associations of varying multiplicities (one-to-one, one-to-many, many-to-many)• … inheritance relationships• … association classes• … reflexive associations• … abstract classes• … metadata• … static attributes and methodsChapter 15: Three Tier Architectures: Considerations for Adding a User Interface and Data Layer to Your ApplicationChapter Goal: Conceptually introduce the notion of model – presentation layer – data layer separation, using pseudocode examples to illustrate how these layers interact with the model layer code of chapter 14.Subtopics:• Overview of the power of model – presentation layer – data layer separation • Concept of operations for the Student Registration System user interface• Detailed walk-through of pseudocode illustrating (a) how the data layer is used to validate and persist model layer logic, (b) how the user interface/presentation layer is used to receive data and operational requests from a user

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Book SynopsisThis book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global optimization.The book begins by introducing different Bayesian Optimization (BO) techniques, covering both commonly used tools and advanced topics. It follows a develop from scratch method using Python, and gradually builds up to more advanced libraries such as BoTorch, an open-source project introduced by Facebook recently. Along the way, you''ll see practical implementations of this important discipline along with thorough coverage and straightforward explanations of essential theories. This book intends to bridge the gap between researchers and practitioners, providing both with a comprehensive, easy-to-digest, and useful reference guide. After completing Table of Contents● Chapter 1: Bayesian Optimization in a Nutshello Chapter goal: introducing Bayesian Optimization workflow and key conceptso Estimate number of pages: 30o Sub topics:▪ What and why of Bayesian Optimization ▪ Key components in Bayesian Optimization process▪ Common Bayesian Optimization applications● Chapter 2: Bayesian Optimization in Hyperparameter Tuningo Chapter goal: Showcase using Bayesian Optimization for hyperparameter tuning in training better ML modelso Estimate number of pages: 35o Sub topics:▪ ML workflow▪ Common hyperparameter tuning techniques▪ Advantage of Bayesian Optimization in tuning hyperparameters for ML models through practical examples● Chapter 3 : Gaussian Processo Chapter goal: Introduce Gaussian process and its role in Bayesian Optimization workflowo Estimate number of pages: 30o Sub topics:▪ Gaussian process breakdown▪ Theory illustration on Gaussian process ▪ Coding Gaussian process as surrogate model in Bayesian Optimization ● Chapter 4 : Common Acquisition Functiono Chapter goal: Introduce popular acquisition functions including EI, PI and otherso Estimate number of pages: 35o Sub topics:▪ The role of acquisition function in Bayesian Optimization ▪ Theoretical basics for each common AF▪ Coding examples● Chapter 5: Advanced Acquisition Functiono Chapter goal: Introduce advanced acquisition functions including KG and PE and parallel variantso Estimate number of pages: 35o Sub topics:▪ Theoretical basics for advanced AF▪ Coding examples ● Chapter 6 : Introducing BoTorcho Chapter goal: Introduce the recent GPU based package for running Bayesian Optimization o Estimate number of pages: 40o Sub topics:▪ Introduction of the package and key components▪ Starting examples▪ Advanced examples● Chapter 7 : Case studyo Chapter goal: Demonstrate full working examples using Bayesian Optimization and BoTorcho Estimate number of pages: 30o Sub topics:▪ Two full coding examples TBD● Chapter 8 : Exotic Bayesian Optimization Problemso Chapter goal: Introduce additional Bayesian Optimization variants such as adding constraints and getting noisy observationso Estimate number of pages: 30o Sub topics:▪ Constrained Bayesian Optimization ▪ Parallel Bayesian Optimization ▪ BO with noisy observations▪ Look ahead Bayesian Optimization

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Book SynopsisBeginning user levelTable of ContentsChapter 1: Introduction to Precision Health and Artificial IntelligenceChapter Goal: An introduction to precision health, the concepts of AI-wearables, health data and health tech and how they transform the health industry No of pages: 15Chapter 2: Foundations of Precision HealthChapter Goal: A deep dive into precision health including key principles and processes.No of pages: 25 Chapter 3: DataChapter Goal: Data has been the beginning of many great products, services or ventures in health tech — explore types of data, and how they can be used.No of pages: 25Sub - Topics: 1. Little and big data2. Types of data3. Wearables and IoT, genomics4. Using data to enable precision health Chapter 4: Artificial Intelligence in Precision HealthChapter Goal: Concepts and ideas in artificial intelligence (AI) and machine learning -- including statistical approaches, visualization, human-computer interactions and evaluating health AI.Pages: 251. Statistical approaches2. Visualization3. Human computer interaction4. Evaluations of AIChapter 5: Ethics and RegulatoryChapter Goal: An in-depth study of legal, ethical, and regulatory concepts in precision health.No of pages: 35Sub - Topics:1.Ethics2.Legal3.Regulatory concerns Chapter 6: Case Studies: The Application of Artificial Intelligence in Precision Healthcare and MedicineChapter Goal: Applications of AI techniques and software tools. This will primarily involve exploring recent examples of AI and Machine Learning tools being specifically used to aid in clinical practice.Pages: 251. Best case examples of AI to aid clinical practice

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Book Synopsis Solve SEO problems using data science. This hands-on book is packed with Python code and data science techniques to help you generate data-driven recommendations and automate the SEO workload. This book is a practical, modern introduction to data science in the SEO context using Python. With social media, mobile, changing search engine algorithms, and ever-increasing expectations of users for super web experiences, too much data is generated for an SEO professional to make sense of in spreadsheets. For any modern-day SEO professional to succeed, it is relevant to find an alternate solution, and data science equips SEOs to grasp the issue at hand and solve it. From machine learning to Natural Language Processing (NLP) techniques, Data-Driven SEO with Python provides tried and tested techniques with full explanations for solving both everyday and complex SEO problems. This book is ideal for SEO professionals who want to take their industry skiTable of ContentsData Driven SEO with PythonChapter 1: Meeting the Challenges of SEO with Data1.1 Agents of change in SEO1.2 The Pillars of SEO Strategy1.3 Installing Python1.4 Using Python for SEOChapter 2: Keyword Research2.1 Data Sources2.2 Google Search Console2.4 Google Trends2.5 Google Suggest2.6 Competitor Analytics2.7 SERPsChapter 3: Technical3.1 Improving CTRs3.2 Allocate keywords to pages based on the copy3.3 Allocating parent nodes to the orphaned URLs3.4 Improve interlinking based on copy3.5 Automate Technical AuditsChapter 4: Content & UX4.1 Content that best satisfies the user query4.2 Splitting and merging URLs4.3 Content Strategy: Planning landing page content Chapter 5: Authority5.1 A little SEO history5.1 The source of authority5.2 Finding good linksChapter 6: Competitors6.1 Defining the problem6.2 Data Strategy6.3 Data Sources6.4 Selecting Your Competitors6.5 Get Features6.6 Explore, Clean and Transform6.7 Modelling The SERPS6.8 Evaluating your Model6.9 ActivationChapter 7: Experiments7.1 How experiments fit into the SEO process7.2 Generating Hypotheses7.3 Experiment Design7.4 Running your experiment7.5 Experiment EvaluationChapter 8: Dashboards8.1 Use a Data Layer8.2 Extract, Transform and Load (ETL)8.3 Transform8.4 Querying the Data Warehouse (DW)8.5 Visualization8.6 Making Future ForecastsChapter 9: Site Migrations and Relaunches9.1 Data sources9.2 Establishing the Impact9.3 Segmenting the URLs9.4 Legacy Site URLs9.5 Priority9.6 RoadmapChapter 10: Google Updates10.1 Data sources10.2 Winners and Losers10.3 Quantifying the Impact10.4 Search Intent10.5 Unique URLs10.6 RecommendationsChapter 11: The Future of SEO11.1 Automation11.2 Your journey to SEO science11.3 Suggest resourcesAppendix: CodeGlossaryIndex

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Book SynopsisBuild APIs and web apps based on Asynchronous Server Gateway Interface (ASGI). This book provides a comprehensive explanation of using Pydantic models to construct the request/response objects in a FASTAPI path operation.You'll start by reviewing type hints in Python and the asynchronous processing concepts. One of the highlights of FastAPI is its auto generation of API docs. Pydantic library is the main pillar on top of which FastAPI is built. You'll see that ASGI has a far better performance compared to most of the other popular Python frameworks as they implement Web server Gateway Interface (WSGI), which is synchronous in nature and hence having slower response time.This book thoroughly explains how FastAPI interacts asynchronously with relational as well as NOSQL databases. Modern web apps use template engines to interact with the front-end. In this book, you will learn to use jinja2 templates and static assets. Swagger UI and OpenAPI standards are also covered in detail. Finally,Table of ContentsBuild High Performance Web Apps with FastAPIChapter 1. Introduction to FastAPI Chapter 2. Installation of FastAPIChapter 3. Request Body Chapter 4. Templates Chapter 5. Response Chapter 6. Using Databases Chapter 7. Middleware Chapter 8. Testing and Debugging Chapter 9. Deployment Build High Performance Web Apps with FastAPI Chapter 10. Advanced Features

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Book Synopsis1. Fundamentals of RESTful APIs.- 2. Micronaut.- 3. Introduction to XML and JSON.- 4. API Design and Modeling.- 5. Introduction to JAX-RS.- 6. API Portfolio and Framework - Services.- 7. API Platform and Data Handler.- 8. API Management and CORS.Table of Contents1. Fundamentals of RESTful APIs2. Introducing Micronaut Framework3. API Design and Modeling4. Introduction to XML and JSON 5. Introduction to JAX-RS6. API Portfolio and Framework - Services7. API Platform and Data Handler8. API Management and API Client9. API Security and Caching.

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Book SynopsisLearn to write better automated tests that will dramatically increase your productivity and have fun while doing so. This book is a build-your-own adventure designed for individual reading and for collaborative workshops. You will build an xUnit automated test framework using JavaScript: initially a clone of Jest, but adding a couple of neat features borrowed from RSpec, the genre-defining tool for behavior-driven development (BDD). Along the way, you will explore the philosophy behind automated testing best practices. The automated test runner is one of the most important innovations within software engineering. But for many programmers, automated testing remains a mystery, and knowing how to write good tests is akin to sorcery. As the chapters of this book unfold, you will see how the humble test runner is an elegant and simple piece of software. Each chapter picks a single feature to build, like the it function or the beforeEach Table of ContentsPart 1: Building the Core of a Test Framework In this part we build a barebones implementation of a test runner.Chapter 1: Creating an NPM Package of My Very Own, You will create a new NPM package for concise-test, including an entry-point for the test runner.Chapter 2: Building it to Define a Testwe’ll implement the it function for defining tests, and start printing out some useful test run information on screen.Chapter 3: Grouping Tests with Describe, we’ll add support for grouping tests with the describe function, and we’ll continue to build out test reporting on screen. Chapter 4: Promoting Conciseness with BeforeEach and AfterEachWe continue our quest for concise testing facilities with the addition of beforeEach and afterEach functions. Chapter 5: Improving Legibility with Expect, We finish off the core of our API by building an abstraction over throw new Error. Part 2: Constructing a Usable Framework In this part we add features that you’ll use on a daily basis. Chapter 6: Formatting Expectation ErrorsWe write a formatter for stack traces to help pinpoint failures quickly. Chapter 7. Automatically Discovering Test FilesWe’ll add test file discovery to our test runner, and add support for running a single file through a command line argument. Chapter 8: Focusing on Tests with It.Only and Describe.Only, We split out runner into two phases: a discovery phase and an execution phase. In between them, we insert a filter phase to support running only a subset of phases. Chapter 9: Supporting Asynchronous Tests, We add the ability to wait on tests that return Promise objects, and timing out tests with it.timesOutAfter. Chapter 10: Reportingwe use a pub-sub model to build a plug-in system for reporters. Part 3: Extending for Power Users In this part we continue to add advanced features. Chapter 11: Sharing Behavior with it.BehavesLike, We borrow an important feature from Ruby: inheritance for describe blocks, which gives us a flexible mechanism for removing duplication between test groups. Chapter 12: Tagging Tests We create a mechanism for running a group of tests based on their tag. Chapter 13 : Skipping Tests we introduce a number of ways to skip tests, including tests without bodies, and it.skip plus describe.skip functions. Chapter 14 : Randomizing TestsWe add a runtime flag for randomizing the order of tests, which is a useful technique for catching invisible dependencies between tests. Part 4: Test Doubles and MocksChapter 15. Understanding test doubleswe create a function that can be used as a test spy and stub.Chapter 16. Module MocksWe create a system for mocking out entire modules, which is a useful technique when creating component doubles when testing React.

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Book SynopsisThis book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing. It covers how to use Spark's structured APIs to perform complex data transformations and analyses you can use to implement end-to-end analytics workflows.This book covers Spark 3's new features, theoretical foundations, and application architecture. The first section introduces the Apache Spark ecosystem as a unified engine for large scale data analytics, and shows you how to run and fine-tune your first application in Spark. The second section centers on batch processing suited to end-of-cycle processing, and data ingestion through files and databases. It explains Spark DataFrame API as well as structured and unstructured data with Apache Spark. The last section deals with scalable, high-throughput, fault-tolerant streaming processing workloads to process real-time data. Here you'll learn about Apache Spark Streaming's execution model, the architecture of Spark STable of ContentsPart I. Apache Spark Batch Data ProcessingChapter 1: Introduction to Apache Spark for Large-Scale Data Analytics1.1. What is Apache Spark? 1.2. Spark Unified Analytics1.3. Batch vs Streaming Data1.4. Spark EcosystemChapter 2: Getting Started with Apache Spark2.2. Scala and PySpark Interfaces2.3. Spark Application Concepts2.4. Transformations and Actions in Apache Spark2.5. Lazy Evaluation in Apache Spark2.6. First Application in Spark2.7. Apache Spark Web UIChapter 3: Spark Dataframe APIChapter 4: Spark Dataset APIChapter 5: Structured and Unstructured Data with Apache Spark5.1. Data Sources5.2. Generic Load/Save Functions5.3. Generic File Source Options5.4. Parquet Files5.5. ORC Files5.6. JSON Files5.7. CSV Files5.8. Text Files5.9. Hive Tables5.10. JDBC To Other DatabasesChapter 6: Spark Machine Learning with MLlibPart II. Spark Data StreamingChapter 7: Introduction to Apache Spark Streaming7.1. Apache Spark Streaming’s Execution Model7.2. Stream Processing Architectures7.3. Architecture of Spark Streaming: Discretized Streams7.4. Benefits of Discretized Stream Processing7.4.1. Dynamic Load Balancing7.4.2. Fast Failure and Straggler RecoveryChapter 8: Structured Streaming8.1. Streaming Analytics8.2. Connecting to a Stream8.3. Preparing the Data in a Stream8.4. Operations on a Streaming DatasetChapter 9: Structured Streaming Sources9.1. File Sources9.2. Apache Kafka Source9.3. A Rate SourceChapter 10: Structured Streaming Sinks10.1. Output Modes10.2. Output Sinks10.3. File Sink10.4. The Kafka Sink10.5. The Memory Sink 10.6. Streaming Table APIs10.7. Triggers10.8. Managing Streaming Queries10.9. Monitoring Streaming Queries10.9.1. Reading Metrics Interactively10.9.2. Reporting Metrics programmatically using Asynchronous APIs10.9.3. Reporting Metrics using Dropwizard10.9.4. Recovering from Failures with Checkpointing10.9.5. Recovery Semantics after Changes in a Streaming QueryChapter 11: Future Directions for Spark Streaming11.1. Backpressure11.2. Dynamic Scaling11.3. Event time and out-of-order data11.4. UI enhancements11.5. Continuous ProcessingChapter 12: Watermarks. A deep survey of temporal progress metrics

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Book Synopsis1. An Introduction to Data Analysis .- 2. Introduction to the Python's World.- 3. The NumPy Library .- 4. The pandas Library-- An Introduction.- 5. pandas: Reading and Writing Data .- 6. pandas in Depth: Data Manipulation .- 7. Data Visualization with matplotlib .- 8. Machine Learning with scikit-learn.- 9. Deep Learning with TensorFlow.- 10. An Example - Meteorological Data.- 11. Embedding the JavaScript D3 Library in IPython Notebook.- 12. Recognizing Handwritten Digits.- 13. Textual data Analysis with NLTK.- 14. Image Analysis and Computer Vision with OpenCV.- Appendix A.- Appendix B.Table of ContentsPython Data Analytics1. An Introduction to Data Analysis 2. Introduction to the Python's World3. The NumPy Library 4. The pandas Library-- An Introduction5. pandas: Reading and Writing Data 6. pandas in Depth: Data Manipulation 7. Data Visualization with matplotlib 8. Machine Learning with scikit-learn9. Deep Learning with TensorFlow10. An Example - Meteorological Data11. Embedding the JavaScript D3 Library in IPython Notebook12. Recognizing Handwritten Digits13. Textual data Analysis with NLTK 14. Image Analysis and Computer Vision with OpenCV Appendix A Appendix B

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Book SynopsisThis book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior. The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs. Next, you'll learn to use various debugging patterns through Python case studies that model abnormal software behavior. You'll also be exposed to Python debugging techniques specific to cloud native and machine learning environments and explore how recent advances in AI/ML can help in Python debugging. Over the course of the book, case studies will show you how to resolve issues around environmental problems, crashes, hangs, resource spikes, leaks, and performancedegradatioTable of ContentsChapter 1: Fundamental Vocabulary.- Chapter 2: Pattern-Oriented Debugging.- Chapter 3: Elementary Diagnostics Patterns.- Chapter 4: Debugging Analysis Patterns.- Chapter 5: Debugging Implementation Patterns.- Chapter 6: IDE Debugging in Cloud.- Chapter 7: Debugging Presentation Patterns.- Chapter 8: Debugging Architecture Patterns.- Chapter 9: Debugging Design Patterns.- Chapter 10: Debugging Usage Patterns.- Chapter 11: Case Study: Resource Leaks.- Chapter 12: Case Study: Deadlock.- Chapter 13: Challenges of Python Debugging in Cloud Computing.- Chapter 14: Challenges of Python Debugging in AI and Machine Learning.- Chapter 15: What AI and Machine Learning Can Do for Python Debugging.- Chapter 16: The List of Debugging Patterns.

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Book SynopsisMigrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Naïve Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary toapply these methods using PySpark, the industry standard for building scalable ML data pipelines. What You Will LearnMaster the fundamentals of supervised learning, unsupervised learning, NLP, and recommender systemsUnderstand the differences between PySpark, scikit-learn, and pandasPerform linear regression, logistic regression, and decision tree regression with pandas, scikit-learn, and PySparkDistinguish between the pipelines of PySpark and scikit-learnWho This Book Is ForData scientists, data engineers, and machine learning practitioners who have some familiarity with Python, but who are new to distributed machine learning and the PySpark framework.Table of ContentsChapter 1: An Easy Transition.- Chapter 2: Selecting Algorithms.- Chapter 3: Multiple Linear Regression with Pandas, Scikit-Learn, and PySpark.- Chapter 4: Decision Trees for Regression with Pandas, Scikit-Learn, and PySpark.- Chapter 5: Random Forests for Regression with Pandas, Scikit-Learn, and PySpark.- Chapter 6: Gradient-Boosted Tree Regression with Pandas, Scikit-Learn and PySpark.- Chapter 7: Logistic Regression with Pandas, Scikit-Learn and PySpark.-  Chapter 8: Decision Tree Classification with Pandas, Scikit-Learn and PySpark.- Chapter 9: Random Forest Classification with Scikit-Learn and PySpark.- Chapter 10: Support Vector Machine Classification with Pandas, Scikit-Learn and PySpark.- Chapter 11: Naïve Bayes Classification with Pandas, Scikit-Learn and PySpark.- Chapter 12: Neural Network Classification with Pandas, Scikit-Learn and PySpark.- Chapter 13: Recommender Systems with Pandas, Surprise and PySpark.- Chapter 14: Natural Language Processing with Pandas, Scikit-Learn and PySpark.- Chapter 15: K-Means Clustering with Pandas, Scikit-Learn and PySpark.- Chapter 16: Hyperparameter Tuning with Scikit-Learn and PySpark.- Chapter 17: Pipelines with Scikit-Learn and PySpark.- Chapter 18: Deploying Models in Production with Scikit-Learn and PySpark.  

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Book SynopsisFinally, a book on creative programming, written directly for artists and designers! This second edition offers expanded and updated content incorporating the latest advancements and trends in the field of creative programming, also for creatives who want to work directly with P5.js and online. It delves deeper into the intricacies of computational art. Itincludes fresh case studies that explore real-world applications of coding art, inspiring readers to think beyond traditional boundaries. Rather than following a computer science curriculum, this book is aimed at creatives who are working in the intersection of design, art, and education. Following a real-world use case of computation art, you'll see how it relates back to the four key pillars, and addresses potential pitfalls and challenges in the creative process. All code examples are presented in a fully integrated Processing example library, making it easy for readers to get started.This unique and finely balanced approach betwTable of ContentsIntroductionPart I: Creative CodingIn the first main part of this book, we present a four-step working process when code is involved in art practice.Chapter 1: Idea to VisualsIn this chapter we show how creatives can translate their ideas into simple visual elements, and then work with these elements creatively, by animating them in motions and interaction. In this part, we move quickly from shaping up visual elements in static to animate and scale them in variants and complexity. We also make the comparatively large step to interaction as input for animating visual elements already in this first step. This allows creatives to directly experience the power and expressivity of a computational creative tool like Processing. We don’t hold back in this first step, because we see interaction (and ultimately data) as the important differentiator and driver behind the power of computational in creative practice. Even the raw understanding of interaction in code can help creatives ideate with minimal computation at an early stage of a project.Chapter 2: Composition and StructureIn this chapter, we align the structure of code and the visual structure to reinforce the initial momentum with transparent concepts in code. In this step, we list different code examples that are related to repetition and variation. These are all features related to the creation and manipulation of a Gestalt, introduced as the “many things as one” concept in the book. The reader learns about the shift from an individual element in repetition to many things in layers and alignment. While we introduce fewer new elements from Processing, we maintain the momentum for the reader in showing how they can, with a few lines of code, amplify the expressivity of their first tryouts. The divergence from traditional creative programming books is most visible in the second step, we leave the path of explaining Processing and let the creative process take charge.Chapter 3: Refinement and DepthIn this chapter, we use randomness and noise as sources for depth and entropy and explain how to refine and deepen the idea regarding controlling, selecting, and making choices. In this part, we specifically introduce new data structures as means to simplify and extend the design of aesthetics, rhythms and smoothness. We also return to interactivity at this developed stage and use interactivity as input to bring creative concepts closer to refinement and depth. Chapter 4: Completion and ProductionIn this chapter, we look at the backstage of coding an art piece for presentation and “show-time”. We show how to leverage the diversity of art code on other platforms like the web or in mobile applications. In this step, we also specify how to backstage, test and control the creative work in a less risky way on the final production stage.Part II: An Example: MOUNTROTHKOIn the second part of this book, we present a large example for computational art, MOUNTROTHKO (2018). This part shows how we applied many aspects of the first part of the book in a real project. We emphasize that what we write about in this book is what we also practice: we unfold MOUNTROTHKO from the very beginning by showing the conceptual and visual starting points. Then we walk through the four steps of the whole creative process in close relation to this example. In MOUNTROTHKO, certain steps were taken going back and forth, or in iteration, which underlines how the book is practically meaningful as a process reference.Chapter 5: InspirationChapter 6: From idea to completionPart III: Coding PracticeIn the last part of this book, we address common pitfalls and challenges of the creative process and formulate suggestions and tips for creatives based on our experience over the years. We indicate main problems that creatives might have in practice: how to help yourself, how to get help from others, and how to find and work with experts from other fields. Finally, we outline a continuation of the learning path for creatives alongside reading and making: this book ideally represents the starting of a personal creative journey working with both art and code.Chapter 7: Dealing with Problems Chapter 8: Learning PathChapter 9: Creative ProcessesConclusionEpilogue

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Book SynopsisLearn to implement web designs using HTML5 and CSS3. This book focuses on the need for responsive web design and how you can leverage HTML5 and CSS3 to create interactive websites that work in the real world. You do not need be a technology expert or have a prior coding background to benefit from this book. All you need is a want to learn and a curious mind to explore the full spectrum of features HTML5 and CSS3have to offer. You'll see how to migrate legacy websites to responsive websites in a very easy-to-understand, step-by-step, manner. Additionally, you will learn to use supportive software to create, run, and debug any issues that may arise during the development process. This book will also show you how to implement websites that work on multiple devices, and on various browsers such as Opera, Chrome, internet Explorer, or Edge. All this will be explored with supporting files, open-source software, as well as a practical guide to creating your demo website along with learning Table of ContentsChapter 1 Introduction to Web Development.- Chapter 2 HTML5 and Responsive Web Design.- Chapter 3 Cascading Style Sheets & Layouts.- Chapter 4 Media Queries.- Chapter 5 CSS Selectors, Color Modes & More.- Chapter 6 Animations & Transitions in CSS3.- Chapter 7 Background and Shadows in CSS.- Chapter 8 Forms with HTML.- Chapter 9 Cross Browser Challenges and How to resolve it.

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Book SynopsisDive into the diverse facets of the Laravel ecosystem. This comprehensive guide will put you on the fast track to becoming an expert in Laravel development. Starting with the fundamentals, you'll explore essential concepts, enabling you to grasp the framework's structure. Subsequent chapters cover intricate topics, such as advanced routing techniques, database management, and eloquent object relational mapping (ORM), allowing developers to build robust applications. The book offers comprehensive insights into building secure applications with authentication and authorization mechanisms, as well as constructing efficient APIs and employing caching techniques for enhanced performance. Chapters on real-time applications and queues offer practical knowledge to optimize application responsiveness. Advanced package development and performance monitoring provide valuable tools for developing high-quality Laravel packages and debugging. You'll also gain expertise in internationalization, frontTable of ContentsChapter 1: Understanding the Laravel Ecosystem.- Chapter 2: Advanced Routing Techniques.- Chapter 3: Database Management and Eloquent ORM.- Chapter 4: Authentication and Authorization.- Chapter 5: Building APIs with Laravel.- Chapter 6: Caching and Performance Optimization.- Chapter 7: Advanced Middleware Techniques.- Chapter 8: Real-Time Applications with Laravel.- Chapter 9: Testing and Test-Driven Development.- Chapter 10: Queues and Job Scheduling.- Chapter 11: Advanced Package Development.-Chapter 12: Performance Monitoring and Debugging.- Chapter 13: Scaling Laravel Applications.- Chapter 14: Security Best Practices.- Chapter 15: Advanced Performance Optimization.- Chapter 16: Continuous Integration and Deployment.- Chapter 17: Laravel and Microservices.- Chapter 18: Advanced Laravel Debugging and Troubleshooting.-Chapter 19: Building Internationalized Applications with Laravel.- Chapter 20: Advanced Frontend Development with Laravel.- Chapter 21: Advanced Error Handling and Exception Management.- Chapter 22: Advanced Database Techniques and Optimization.- Chapter 23: Laravel and Serverless Computing.- Chapter 24: Building Progressive Web Applications (PWAs) with Laravel.- Chapter 25: Advanced UI/UX Design Patterns for Laravel.- Chapter 26: Advanced Analytics and Reporting in Laravel.- Chapter 27: Building Microservices with Laravel and Docker.- Chapter 28: Advanced Third-Party Integrations.- Chapter 29: Securing Laravel Applications.- Chapter 30: Advanced DevOps and Infrastructure Automation Appendix A: Laravel Cheat Sheet .- Appendix B: Recommended Resources.- Appendix C: Glossary of Terms

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Book SynopsisComputer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition's publication. All code used in the book has also been fully updated. This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and you'll gain a thorough understanding of them. The book's source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Upon completing this book, you'll have the knowledge and skills to build your own computer vision applications using neural networksWhat You Will LearnUnderstand image processing, manipulation techniques, and feature extractionmethodsWork with convolutional neural networks (CNN), single-shot deteTable of Contents

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Book SynopsisLearn to write algorithms and program in the new field of quantum computing. This second edition is updated to equip you with the latest knowledge and tools needed to be a complex problem-solver in this ever-evolving landscape. The book has expanded its coverage of current and future advancements and investments by IT companies in this emerging technology. Most chapters are thoroughly revised to incorporate the latest updates to IBM Quantum's systems and offerings, such as improved algorithms, integrating hardware advancements, software enhancements, bug fixes, and more. You'll examine quantum computing in the cloud and run experiments there on a real quantum device. Along the way you'll cover game theory with the Magic Square, an example of quantum pseudo-telepathy. You'll also learn to write code using QISKit, Python SDK, and other APIs such as QASM and execute it against simulators (local or remote) or a real quantum computer. Then peek inside the inner workings of the Bell states fTable of ContentsChapter 1: Quantum Fields - The Building Blocks of Reality Enter Max Planck, the Father of Quantum MechanicsPlanck Hits the Jackpot, Einstein collects a Novel PrizeQuantum Mechanics comes in many flavors. Which is your favorite?Many Worlds InterpretationSupplementary InterpretationsFrom Quantum Mechanics to Quantum Fields: Evolution or RevolutionChapter 1 ExercisesChapter 2: Richard Feynman, Demigod of Physics, Father of the Quantum ComputerMysteries of QFT: The Plague on InfinitiesFeynman Diagrams: Formulas in DisguiseAntimatter as Time Reverse Matter and the Mirror UniverseChapter 2 ExercisesChapter 3: The Qubit Revolution is at Hand Your Friendly Neighborhood Quantum ComputerLinear Optics vs Super Conducting LoopsThe Many Flavors of QubitChapter 3 ExercisesChapter 4: Enter the IBM Quantum: A One of a Kind Platform for Quantum Computing in the Cloud Getting your feet wet with IBM QuantumOpus 1: Variations on Bell and GHZ StatesRemote Access via the REST APIChapter 4 Exercises Chapter 5: Mathematical Foundation: Time to Dust up that Linear AlgebraQubit 101: Vector, Matrices and Complex NumbersEuler’s Identity: A Wonderful MasterpieceAlgebraic Representation of the QubitChanging the State of a Qubit with Quantum GatesUniversal Quantum Computation delivers shortcuts over Classical ComputationChapter 5 ExercisesChapter 6: QISKit, Awesome SDK for Quantum Programming in PythonInstalling the QISKitYour First Quantum ProgramQuantum Assembly: The Power behind the ScenesChapter 6 Exercises Chapter 7: Start Your Engines: From Quantum Random Numbers to Teleportation, pit stop at Super Dense CodingQuantum Random Number GenerationSuper Dense CodingQuantum TeleportationChapter 8: Game Theory: With Quantum Mechanics Odds Are Always in Your FavorCounterfeit Coin PuzzleMermin-Peres Magic SquareAnswers for the Mermin-Peres Magic Square ExerciseChapter 9: Faster Search Plus Threatening the Foundation of Asymmetric Cryptography with Grover and ShorQuantum Unstructured SearchInteger Factorization with Shor’s AlgorithmChapter 10: Advanced Algorithms for Quantum ChemistryWhat in an Eigenvalue and why should I careVariational Quantum EigensolverMolecule Ground State ExperimentProtein Folding Experiment

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Book SynopsisIn this thoroughly revised edition, author and gawk lead developer Arnold Robbins describes the awk language and gawk program in detail, shows you how to use awk and gawk for problem solving, and then dives into specific features of gawk.

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Book SynopsisIn this practical book, author Susan Fowler presents a set of microservice standards in depth, drawing from her experience standardizing over a thousand microservices at Uber. You'll learn how to design microservices that are stable, reliable, scalable, fault tolerant, performant, monitored, documented, and prepared for any catastrophe.

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Book SynopsisThis book will demystify Angular as a framework, as well as provide clear instructions and examples on how to get started with writing scalable Angular applications.

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Book SynopsisIn Think Complexity, you'll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. Whether you're an intermediate-level Python programmer or a student of computational modeling, you'll delve into examples of complex systems through a series of worked examples, exercises and case studies.

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Book SynopsisUpdated for the latest React release, the second edition of this hands-on guide shows you how to build React components and organize them into maintainable large-scale apps. If you're familiar with JavaScript syntax, you're ready to get started.

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Book SynopsisBuild dynamic web applications with Express, a key component of the Node/JavaScript development stack. In this updated edition, author Ethan Brown teaches you Express fundamentals by walking you through the development of an example application.

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Book SynopsisWhy reinvent the wheel every time you run into a problem with JavaScript? This cookbook is chock-full of code recipes for common programming tasks, along with techniques for building apps that work in any browser. You'll get adaptable code samples that you can add to almost any project--and you'll learn more about JavaScript in the process.

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Book SynopsisWith this practical book, Android developers will learn how to make the transition from Java to Kotlin, including how Kotlin provides a true advantage for gaining control over asynchronous computations

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Book SynopsisHow can you realize MySQL's full power? With High Performance MySQL, you'll learn advanced techniques for everything from setting service-level objectives to designing schemas, indexes, and queries to tuning your server, operating system, and hardware to achieve your platform's full potential.

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Book SynopsisWhether you’re a beginner, switching to Java from another language, or just looking to brush up on your Java skills, this is the book you need. You’ll get a thorough grounding in the basics, including classes, objects, arrays, and exceptions. You'll also learn about more advanced topics: threads, algorithms, XML, JUnit testing, and much more.

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Book SynopsisPraise for the first edition:The well-written, comprehensive book[is] aiming to become a de facto reference for the language and its features and capabilities. The pace is appropriate for beginners; programming concepts are introduced progressively through a range of examples and then used as tools for building applications in various domains, including sophisticated data structures and algorithmsHighly recommended. Students of all levels, faculty, and professionals/practitioners.D. Papamichail, University of Miami in CHOICE Magazine Mark Lewis' Introduction to the Art of Programming Using Scala was the first textbook to use Scala for introductory CS courses. Fully revised and expanded, the new edition of this popular text has been divided into two books. Introduction to Programming and Problem-Solving Using Scala is designed to be used in first semester college classrooms to teach students beginning programming with Scala. TheTable of ContentsBasics of Computers, Computing, and Programming. Getting to Know the Tools. Scala Basics. Conditionals. Functions. Recursion for Iteration. Arrays and Lists in Scala. Loops. Text Files. Case Classes. GUIs. Graphics. Sorting and Searching. XML. Recursion.

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Book SynopsisThe Comprehensive, Expert Guide to C# Language Programming “This book has been a classic for years, and remains one of the most venerable and trusted titles in the world of C# content, and probably far beyond! . . . Mark is super smart, insists on understanding everything to the core, and has phenomenal insight into how things affect real developers. . . . He goes right to the essence and communicates with great integrity—no sugarcoating—and has a keen eye for practical value and real-world problems.” –Mads Torgersen, C# Program Manager, Microsoft Essential C# 7.0 is a well-organized, no-fluff guide to C# 7.0 for programmers at all levels of experience. Reflecting the most important C# features from 3.0 through 7.0 and including modern programming patterns, it will help you write code that’s simple, powerful, robust, secure, and maintainable. Author Mark Michaelis is a world-class C# expert: a long-time Microsoft MVP and Regional Director who also has served on Microsoft’s C# design review team. He presents a comprehensive tutorial and reference for the entire language, including expert coverage of key C# 7.0 enhancements, C# 7.0’s use with .NET Core/.NET Standard, and cross-platform compilation. He illustrates key C# constructs with succinct examples, and presents best-practice coding guidelines. To help you maintain existing code, separate indexes provide version-specific answers for C# 5.0, 6.0, and 7.0, and visual icons show when each language innovation was introduced. Make the most of C# 7.0 enhancements, including tuples, deconstructors, pattern matching, local functions, and ref returns Work efficiently with C# data types, operators, control flow, methods, and parameters Write more robust code with C# object-oriented constructs Implement reliable, effective exception handling Reduce code complexity with generics, delegates, lambda expressions, and events Leverage advanced dynamic and declarative programming techniques Query diverse data collections using LINQ with query expressions Create custom collections that operate against business objects Access .NET collections via collection interfaces and standard query operators Master multithreading and synchronization, including the async/await paradigm Optimize performance and interoperability with P/Invoke and unsafe code Run your code on Linux or macOS with C# 7.0 cross-platform compilation Includes C# 7.1, 7.2, and 7.3 language enhancements This guide offers you a complete foundation for successful development with modern versions of the C# language in any project or environment.Table of ContentsFigures xv Tables xvii Foreword xix Preface xxi Acknowledgments xxxiii About the Author xxxv Chapter 1: Introducing C# 1 Hello, World 2 C# Syntax Fundamentals 11 Working with Variables 20 Console Input and Output 24 Managed Execution and the Common Language Infrastructure 32 Multiple .NET Frameworks 37 Chapter 2: Data Types 43 Fundamental Numeric Types 44 More Fundamental Types 53 null and void 67 Conversions between Data Types 69 Chapter 3: More with Data Types 77 Categories of Types 77 Nullable Modifier 80 Tuples 83 Arrays 90 Chapter 4: Operators and Control Flow 109 Operators 110 Introducing Flow Control 126 Code Blocks ({}) 132 Code Blocks, Scopes, and Declaration Spaces 135 Boolean Expressions 137 Bitwise Operators (<<, >>, |, &, ^, ~) 147 Control Flow Statements, Continued 153 Jump Statements 165 C# Preprocessor Directives 171 Chapter 5: Methods and Parameters 181 Calling a Method 182 Declaring a Method 189 The using Directive 195 Returns and Parameters on Main() 200 Advanced Method Parameters 203 Recursion 215 Method Overloading 217 Optional Parameters 220 Basic Error Handling with Exceptions 225 Chapter 6: Classes 241 Declaring and Instantiating a Class 245 Instance Fields 249 Instance Methods 251 Using the this Keyword 252 Access Modifiers 259 Properties 261 Constructors 278 Static Members 289 Extension Methods 299 Encapsulating the Data 301 Nested Classes 304 Partial Classes 307 Chapter 7: Inheritance 313 Derivation 314 Overriding the Base Class 326 Abstract Classes 338 All Classes Derive from System.Object 344 Verifying the Underlying Type with the is Operator 345 Pattern Matching with the is Operator 346 Pattern Matching within a switch Statement 347 Conversion Using the as Operator 349 Chapter 8: Interfaces 353 Introducing Interfaces 354 Polymorphism through Interfaces 355 Interface Implementation 360 Converting between the Implementing Class and Its Interfaces 366 Interface Inheritance 366 Multiple Interface Inheritance 369 Extension Methods on Interfaces 369 Implementing Multiple Inheritance via Interfaces 371 Versioning 374 Interfaces Compared with Classes 375 Interfaces Compared with Attributes 377 Chapter 9: Value Types 379 Structs 383 Boxing 390 Enums 398 Chapter 10: Well-Formed Types 411 Overriding object Members 411 Operator Overloading 424 Referencing Other Assemblies 432 Defining Namespaces 442 XML Comments 445 Garbage Collection 449 Resource Cleanup 452 Lazy Initialization 461 Chapter 11: Exception Handling 465 Multiple Exception Types 465 Catching Exceptions 469 General Catch Block 473 Guidelines for Exception Handling 475 Defining Custom Exceptions 479 Rethrowing a Wrapped Exception 483 Chapter 12: Generics 487 C# without Generics 488 Introducing Generic Types 493 Constraints 506 Generic Methods 519 Covariance and Contravariance 524 Generic Internals 531 Chapter 13: Delegates and Lambda Expressions 537 Introducing Delegates 538 Declaring Delegate Types 542 Lambda Expressions 550 Anonymous Methods 556 Chapter 14: Events 575 Coding the Publish-Subscribe Pattern with Multicast Delegates 576 Understanding Events 591 Chapter 15: Collection Interfaces with Standard Query Operators 603 Collection Initializers 604 What Makes a Class a Collection: IEnumerable 607 Standard Query Operators 613 Anonymous Types with LINQ 646 Chapter 16: LINQ with Query Expressions 657 Introducing Query Expressions 658 Query Expressions Are Just Method Invocations 676 Chapter 17: Building Custom Collections 679 More Collection Interfaces 680 Primary Collection Classes 683 Providing an Indexer 702 Returning Null or an Empty Collection 705 Iterators 705 Chapter 18: Reflection, Attributes, and Dynamic Programming 721 Reflection 722 nameof Operator 733 Attributes 735 Programming with Dynamic Objects 759 Chapter 19: Multithreading 771 Multithreading Basics 774 Working with System.Threading 781 Asynchronous Tasks 789 Canceling a Task 810 The Task-based Asynchronous Pattern 816 Executing Loop Iterations in Parallel 846 Running LINQ Queries in Parallel 856 Chapter 20: Thread Synchronization 863 Why Synchronization? 864 Timers 893 Chapter 21: Platform Interoperability and Unsafe Code 897 Platform Invoke 898 Pointers and Addresses 910 Executing Unsafe Code via a Delegate 920 Chapter 22: The Common Language Infrastructure 923 Defining the Common Language Infrastructure 924 CLI Implementations 925 .NET Standard 928 Base Class Library 929 C# Compilation to Machine Code 929 Runtime 932 Assemblies, Manifests, and Modules 936 Common Intermediate Language 939 Common Type System 939 Common Language Specification 940 Metadata 941 .NET Native and Ahead of Time Compilation 942 Index 945 Index of 7.0 Topics 995 Index of 6.0 Topics 998 Index of 5.0 Topics 1001

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Book SynopsisBecome a Python programmer–and have fun doing it! Start writing software that solves real problems, even if you have absolutely no programming experience! This friendly, easy, full-color book puts you in total control of your own learning, empowering you to build unique and useful programs. Microsoft has completely reinvented the beginning programmer’s tutorial, reflecting deep research into how today’s beginners learn, and why other books fall short. Begin to Code with Python is packed with innovations, from its “Snaps” prebuilt operations to its “Make Something Happen” projects. Whether you’re a total beginner or you’ve tried before, this guide will put the power, excitement, and fun of programming where it belongs: in your hands! Easy, friendly, and you’re in control! Learn how to... Get, install, and use powerful free tools to create modern Python programs Learn key concepts from 170 sample programs, and use them to jumpstart your own Discover exactly what happens when a program runs Approach program development with a professional perspective Learn the core elements of the Python language Build more complex software with classes, methods, and objects Organize programs so they’re easy to build and improve Capture and respond to user input Store and manipulate many types of real-world data Define custom data types to solve specific problems Create interactive games that are fun to play Build modern web and cloud-based applications Use pre-built libraries to quickly create powerful software Get code samples, including complete apps, at: https://aka.ms/BegintoCodePython/downloads About This Book For absolute beginners who’ve never written a line of code For anyone who’s been frustrated with other beginning programming books or courses For people who’ve started out with other languages and now want to learn Python Works with Windows PC, Apple Mac, Linux PC, or Raspberry Pi Includes mapping of MTA exam objectives that are covered in this book, as well as an appendix with further explanation of some of the topics on the exam Table of ContentsPart 1: Programming fundamentals Chapter 1 Starting with Python Chapter 2 Python and Programming Chapter 3 Python program structure Chapter 4 Working with variables Chapter 5 Making decisions in programs Chapter 6 Repeating actions with loops Chapter 7 Using functions to simplify programs Chapter 8 Storing collections of data Part 2: Advanced programming Chapter 9 Use classes to store data Chapter 10 Use classes to create active objects Chapter 11 Object-based solution design Chapter 12 Python applications Part 3: Useful Python (Digital-only) Chapter 13 Python and Graphical User Interfaces Chapter 14 Python programs as network clients Chapter 15 Python programs as network servers Chapter 16 Create games with pygame

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Book SynopsisLearning Maya, the world's leading 3D animation and effects package, is a challenge, especially for those who want to master Maya's versatile programming features in addition to its built-in tools. Finally, here is a practical, step-by-step guide that shows how to use Maya to its fullest potential, beginning with the basics. Readers of Complete Maya Programming will first gain a thorough understanding of Maya's inner workings, and then learn how to customize and extend Maya with scripts and plugins that take control and productivity to new levels. Users new to programming can apply Maya's easy scripting language MEL (Maya Embedded Language), while more advanced users can work with the C++ API (Application Progamming Interface). Both a fundamental tutorial for Maya beginners and a solid reference for experienced developers, Complete Maya Programming is every user's guide to Maya mastery.Trade Review"David's book is an excellent learning tool and reference for novice and veteran Maya developers alike. Maya developers can become more productive with MEL and the Maya API by applying what they learn from this book." --Tracy Narine, Maya API Technical Lead, Alias"David Gould is an expert at using, programming, and teaching Maya, and it shows. People who need to program Maya will find this book essential. Even Maya users who don't intend to do extensive programming should read this book for a better understanding of what's going on under the hood. Compact yet thorough, it covers both MEL and the C++ API, and is written to be informative for both novice and expert programmers. Highly recommended!" --Larry Gritz, Exluna/NVIDIA, co-author of Advanced RenderMan"This book should be required reading for all Maya programmers, novice and expert alike. For the novice, it provides a thorough and wonderfully well thought-out hands-on tutorial and introduction to Maya. The book's greatest contribution, however, is that in it David shares his deep understanding of Maya's fundamental concepts and architecture, so that even the expert can learn to more effectively exploit Maya's rich and powerful programming interfaces." --Philip J. Schneider, Disney Feature Animation, co-author of Geometric Tools for Computer Graphics"Having provided a technical review of David Gould's Complete Maya Programming, I must say that this book is the definitive text for scripting and plug-in development for Maya. Never before has there been such a concise and clearly written guide to programming for Maya. Any user smart enough to pick up this book would be better off for it." --Chris Rock, technical director at "a Large Animation Studio in Northern California"If you ever wanted to open the Maya toolbox, this is your guide. With clear step-by-step instructions, you will soon be able to customize and improve the application, as well as create your own extensions, either through the MEL scripting language or the full C++ API." --Christophe Hery, Industrial Light & MagicTable of Contents1 Introduction; 2 Fundamental Maya Concepts; 3 MEL; 4 C++ API, Appendices: A: Additional Resources; B: MEL for C Programmers; C: Further Reading

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Book SynopsisTargeting Web 2.0 IT professionals and developers, this important resource provides essential information on IBM’s Enterprise Generation Language (EGL) and the exciting new EGL Rich UI for the IBM i platform. The first half explains how the EGL Rich UI takes advantage of the powerful EGL syntax to provide increased flexibility while designing complex interactive user interfaces from the ground up. This can allow for building Rich Internet Applications that take advantage of popular frameworks such as Dojo and services from Google, all integrated together with EGL Rich UI’s built-in widget library. Following is an exploration into harnessing IBM i, the new open and advanced business application server, through EGL’s ability to make simple connections from rich clients to back end business services.

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Book SynopsisUpdated with the latest innovations to this quintessential programming language, the new edition of this comprehensive resource to Command Language (CL) covers all aspects of the language from basics to advanced topics. New functions have been added to CL by IBM and this manual provides detailed coverage on topics such as the INCLUDE command, new constants, overlaid variables, pointers and based variables, the Power System, and the new operating system IBM i. There is now a section on programming subroutines, with practices and examples, as well as explanations for file handling commands and techniques.

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Book SynopsisSince its original publication, Programming in RPG IV has given thousands of students and professionals a strong foundation in the essentials of business programming using RPG IV. Now, the long-awaited Fifth Edition, retitled Programming in ILE RPG, produces the most significant update to this "gold standard" book in many years. The book has been reorganized and updated to the newest software release. It includes exclusive coverage of free-format RPG, new attention to SQL, and expanded emphasis on ILE modules, procedures, and service programs. All-new programming exercises and assignments add even more value for learning.The book includes complete coverage of the program development process, the newest development tools, RPG IV instructions and operations, creating and using files, program workflow and structured design, arithmetic operations and functions, accessing and updating database files, writing interactive applications, modular programming, service programs, error handling, subfiles, APIs, and more. This book is the one guide you need to learn how to be successful with all aspects of ILE RPG.Trade Review"RPG has been a mainstay on IBM i for many decades. With IBM i now supporting many open source languages, there will be a new cross-section of developers being exposed to the machine, and we need to teach them the latest features of RPG for fruitful coexistence. That's where this book shines. Jim and Bryan have expertly put together a book to meet the needs of one learning modern RPG, complete with 100% free-form and modular coding practices (e.g., service programs), . . . how to use the latest tools like RDi, . . . and commentary on best practices, so readers can make decisions based on sage advice." Aaron Bartell, Director of IBM i Innovation, Krengel Technology"We have been using the earlier versions of this book as part of our 'Introduction to RPG IV' classes for many years now. This latest version includes the modern free-format declarations and other recent language enhancements as well as covering essentials such as building and using Service Programs. It is an essential guide to the language as well as being a great reference document as students progress in their use of the language. Our only criticism is that this version renders our existing inventory obsolete! Highly recommended." Jon Paris and Susan Gantner, Partner400 owners and IBM i educators

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Book SynopsisFor problems that require extensive computation, a C++ program can race through billions of examples faster than most other computing choices. C++ enables mathematicians of virtually any discipline to create programs to meet their needs quickly, and is available on most computer systems at no cost. C++ for Mathematicians: An Introduction for Students and Professionals accentuates C++ concepts that are most valuable for pure and applied mathematical research.This is the first book available on C++ programming that is written specifically for a mathematical audience; it omits the language’s more obscure features in favor of the aspects of greatest utility for mathematical work. The author explains how to use C++ to formulate conjectures, create images and diagrams, verify proofs, build mathematical structures, and explore myriad examples. Emphasizing the essential role of practice as part of the learning process, the book is ideally designed for undergraduate coursework as well as self-study. Each chapter provides many problems and solutions which complement the text and enable you to learn quickly how to apply them to your own problems. Accompanying downloadable resources provide all numbered programs so that readers can easily use or adapt the code as needed. Presenting clear explanations and examples from the world of mathematics that develop concepts from the ground up, C++ for Mathematicians can be used again and again as a resource for applying C++ to problems that range from the basic to the complex.Trade Review“For a mathematician like myself, Scheinerman’s new book is ideal. It concentrates on the portion of C++ that will be most useful to a mathematician. While developing the necessary tools and syntax of C++, the book presents example programs relevant to interesting and somewhat sophisticated mathematical problems. The reader can proceed as far as he/she wants. Even just reading the first few chapters of the book and writing some programs using the constructs introduced, there is sufficient [material] for many purposes within undergraduate mathematics … The strength of this book is the intermingling of interesting mathematics with the ideas and syntax of the C++ language. … The writing is very fluent and does not bog down in endless detail as so many programming books do … In summary, I recommend this book highly to frustrated mathematicians wishing to learn C++ programming. You will really enjoy the well-chosen examples and the light touch in the exposition.” —Jeffrey Nunemacher, MAA ReviewsTable of ContentsPROCEDURES: The Basics. Numbers. Greatest Common Divisor. Random Numbers. Arrays. OBJECTS: Points in the Pane. Pythagorean Triples. Containers. Modular Arithmetic. Points in the Projective Plane. Permutations. Polynomials. Using Other Packages. Input/Output and Strings. APPENDICES: Your C++ Computing Environment. Using Doxygen. C++ Reference. Index.

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Book SynopsisThis textbook is about computer science. It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about.Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence.This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving.The authors cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.This textbook has three key features:- A strong focus on problem solving introduces students to the fundamental data structures and algorithms by providing a very readable text without introducing an overwhelming amount of new language syntax.- Algorithm analysis in terms of Big-O running time is introduced early and applied throughout.- Python is used to facilitate the success of beginning students in using and mastering data structures and algorithms.Table of ContentsIntroduction; Algorithm Analysis; Basic Data Structures; Recursion; Searching and Sorting; Trees; Graphs; Additional Topics.

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Book SynopsisA unique approach to “Intro CS.” In a nutshell, the authors of this book's objective is to provide an introduction to computer science as an intellectually rich and vibrant field rather than focusing exclusively on computer programming. While programming is certainly an important and pervasive element of their approach, they emphasize concepts and problem-solving over syntax and programming language features.This book is a companion to the course “CS for All” developed at Harvey Mudd College and subsequently adopted at a variety of colleges and universities. At Mudd, this course is taken by almost every first-year student - irrespective of the student’s ultimate major - as part of the college’s core curriculum. The offering is also taken by many students at the Claremont Colleges, including students majoring in the humanities, social sciences, and the arts. Thus, it serves as a first computing course for students regardless of their major.This book is intended to be used with the substantial resources that we have developed for the course. These resources include complete lecture slides, a rich collection of weekly assignments, some accompanying software, documentation, and papers that have been published about the course. The authors have deliberately kept this book relatively short and have endeavored to make it fun and readable.The content of this book is an accurate reflection of the content of the course rather than an intimidating encyclopedic tome that can’t possibly be covered in a single semester. The book has been written in the belief that a student can read all of it comfortably as the course proceeds.

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Book SynopsisIn this second edition of An Introduction to Stata Programming, the author introduces concepts by providing the background and importance for the topic, presents common uses and examples, then concludes with larger, more applied examples referred to as "cookbook recipes." This is a great reference for anyone who wants to learn Stata programming. For those learning, the author assumes familiarity with Stata and gradually introduces more advanced programming tools. For the more advanced Stata programmer, the book introduces Stata’s Mata programming language and optimization routines. Trade Review"… Baum’s An Introduction to Stata Programming (2nd Edition) combines a concise introduction into the Stata programming environment with a large number of applications to workflow, data management and estimation. …. An Introduction to Stata Programming (2nd Edition) is a well-organized book. We find it suitable for any Stata user on an intermediate or advanced level, a user which already has some experience with Stata and who wants go deeper into programming or who wants to extend Stata’s built-in commands for estimation and data management. In particular the large number of practical examples, mostly taken from economics and finance, help the reader a lot."—Oliver Kirchkamp and Hiltrud Niggemann in Journal of Statistical Software, April 2017Table of ContentsWhy should you become a Stata programmer? Some elementary concepts and tools. Do-file programming: Functions, macros, scalars, and matrices. Cookbook: Do-file programming I. Do-file programming: Validation, results, and data management. Cookbook: Do-file programming II. Do-file programming: Prefixes, loops, and lists. Cookbook: Do-file programming III. Do-file programming: Other topics. Cookbook: Do-file programming IV. Ado-file programming. Cookbook: Ado-file programming. Mata functions for do-file and ado-file programming. Cookbook: Mata function programming.

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Book SynopsisDESCRIPTION Gradle is the next step in JVM-based build tools. It draws on lessons learned from established build tools like Ant and Maven, incorporating and improving upon their best ideas, like full flexibility and convention over configuration. In Gradle, problem domains are declaratively modeled using a powerful Groovy DSL instead of cumbersome XML. As a result, builds are far more expressive, extensible, and testable. Gradle in Action is a comprehensive guide to end-to-end project automation with Gradle. Starting with the basics, this practical, easy-to-read book discusses how to build a full-fledged, real-world project. Along the way, it touches on advanced topics like testing, continuous integration, and monitoring code quality. It also covers tasks like setting up target environments and deploying software. RETAIL SELLING POINTS Practical real-world examples Gradle from the ground up Takes software delivery processes to the next level. AUDIENCE No prior experience with Groovy required. This book assumes basic knowledge of Java. ABOUT THE TECHNOLOGY Build automation is key to implementing Continuous Delivery, a hot topic these days. Enterprises want to ship software, fast and repeatable. Gradle, a powerful and expressive build tool, plays an important role as an enabling tool to support the build and deployment process.

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Book SynopsisDESCRIPTION JavaScript on the server? You bet! Node.js is a JavaScript framework that can be used to create scalable, high-performance web applications. Using asynchronous I/O, the server can do more than one thing at a time, a key requirement for real-time apps like chat, games, and live statistics. Node.js in Action, Second Edition is a thoroughly-revised new edition that starts at square one and guides readers through all the features, techniques, and concepts needed to build production-quality Node applications. The book dives into the many different uses of Node: traditional web applications, real-time web applications, non-web network applications, and even desktop applications. It also covers the ongoing development of Node via io.js and the emerging ECMAScript 6 features. KEY FEATURES • Simplifies web application development • Teaches Node.js from the ground up • Outlines valuable online resources • Application examples including chat, microblogging, and more AUDIENCE Perfect for a web developer transitioning from Rails, Django, or PHP. Requires basic knowledge of JavaScript. No prior experience with Node.js needed. ABOUT THE TECHNOLOGY Node.js is a JavaScript framework that can be used to create scalable, highperformance web applications. Using asynchronous I/O, the server can do more than one thing at a time, a key requirement for real-time apps like chat, games, and live statistics.

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Book Synopsis DESCRIPTION Functional programming is a deep and potentially mind-bending discipline. Fortunately, Java developers don't have to master every aspect of FP to get a big boost in the performance, readability, and maintainability of their applications. By learning a few core FP principles, they can write code that's less prone to side effects and unwanted dependencies and which is much better suited to the parallel processing required by modern multi-core and distributed systems. Also, because units of functional code are designed to be modular and independent, FP reduces or eliminates many of the bugs development teams routinely face when managing a large codebase. Functional Programming in Java teaches Java developers how to incorporate the most powerful benefits of functional programming into new and existing Java code. Written to meet the needs of professional Java developers who want to introduce functional programming principles into new and legacy projects, this book uses examples, exercises, and illustrations to teach core FP principles such as referential transparency, immutability, persistence, and laziness. They’ll discover which of the new functionally-inspired features of Java 8 will help in applying FP principles to code—as well as which to avoid. In the end, they’ll be able to think functionally about coding tasks in Java and use FP to make their applications easier to understand, optimize, maintain, and scale. KEY FEATURES • Increases productivity • Easy to grasp examples and illustrations • Written for professional Java developers AUDIENCE Readers need to be comfortable with Java programming. No previous experience with functional programming is required. ABOUT THE TECHNOLOGY Functional programming is gaining momentum, mainly through adoption of new languages such as Scala, Clojure or Groovy, and through the new popularity of older languages such as Haskell or Erlang. And functional programming is coming to Java 8 with the addition of features such as lambda expressions, and Streams.

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