Your one stop guide to automating infrastructure security using DevOps and DevSecOps Key Features * Secure and automate techniques to protect web, mobile or cloud services * Automate secure code inspection in C++, Java, Python, and JavaScript * Integrate security testing with automation frameworks like fuzz, BDD, Selenium and Robot Framework Book Description Security automation is the automatic handling of software security assessments tasks. This book helps you to build your security automation framework to scan for vulnerabilities without human intervention. This book will teach you to adopt security automation techniques to continuously improve your entire software development and security testing. You will learn to use open source tools and techniques to integrate security testing tools directly into your CI/CD framework. With this book, you will see how to implement security inspection at every layer, such as secure code inspection, fuzz testing, Rest API, privacy, infrastructure security, and web UI testing. With the help of practical examples, this book will teach you to implement the combination of automation and Security in DevOps. You will learn about the integration of security testing results for an overall security status for projects. By the end of this book, you will be confident implementing automation security in all layers of your software development stages and will be able to build your own in-house security automation platform throughout your mobile and cloud releases. What you will learn * Automate secure code inspection with open source tools and effective secure code scanning suggestions * Apply security testing tools and automation frameworks to identify security vulnerabilities in web, mobile and cloud services * Integrate security testing tools such as OWASP ZAP, NMAP, SSLyze, SQLMap, and OpenSCAP * Implement automation testing techniques with Selenium, JMeter, Robot Framework, Gauntlt, BDD, DDT, and Python unittest * Execute security testing of a Rest API Implement web application security with open source tools and script templates for CI/CD integration * Integrate various types of security testing tool results from a single project into one dashboard Who this book is for The book is for software developers, architects, testers and QA engineers who are looking to leverage automated security testing techniques.

Leverage the power of Java and deep learning to build production-grade Computer Vision applications Key Features * Build real-world Computer Vision applications using the power of neural networks * Implement image classification, object detection, and face recognition * Know best practices on effectively building and deploying deep learning models in Java Book Description Although machine learning is an exciting world to explore, you may feel confused by all of its theoretical aspects. As a Java developer, you will be used to telling the computer exactly what to do, instead of being shown how data is generated; this causes many developers to struggle to adapt to machine learning. The goal of this book is to walk you through the process of efficiently training machine learning and deep learning models for Computer Vision using the most up-to-date techniques. The book is designed to familiarize you with neural networks, enabling you to train them efficiently, customize existing state-of-the-art architectures, build real-world Java applications, and get great results in a short space of time. You will build real-world Computer Vision applications, ranging from a simple Java handwritten digit recognition model to real-time Java autonomous car driving systems and face recognition models. By the end of this book, you will have mastered the best practices and modern techniques needed to build advanced Computer Vision Java applications and achieve production-grade accuracy. What you will learn * Discover neural networks and their applications in Computer Vision * Explore the popular Java frameworks and libraries for deep learning * Build deep neural networks in Java * Implement an end-to-end image classification application in Java * Perform real-time video object detection using deep learning * Enhance performance and deploy applications for production Who this book is for This book is for data scientists, machine learning developers and deep learning practitioners with Java knowledge who want to implement machine learning and deep neural networks in the computer vision domain. You will need to have a basic knowledge of Java programming.

Discover Golang's GUI libraries such as Go-GTK (GIMP Toolkit) and Go-Qt and build beautiful, performant, and responsive graphical applications Key Features * Conceptualize and build state-of-art GUI applications with Golang (Go) * Tackle the complexity of varying GUI application sizes with a structured and scalable approach * Get hands-on experience of GUI development with Shiny, and labs/ui, Fyne, and Walk Book Description Go is often compared to C++ when it comes to low-level programming and implementations that require faster processing, such as Graphical User Interfaces (GUIs). In fact, many claim that Go is superior to C++ in terms of its concurrency and ease of use. Most graphical application toolkits, though, are still written using C or C++, and so they don't enjoy the benefits of using a modern programming language such as Go. This guide to programming GUIs with Go 1.11 explores the various toolkits available, including UI, Walk, Shiny, and Fyne. The book compares the vision behind each project to help you pick the right approach for your project. Each framework is described in detail, outlining how you can build performant applications that users will love. To aid you further in creating applications using these emerging technologies, you'll be able to easily refer to code samples and screenshots featured in the book. In addition to toolkit-specific discussions, you'll cover more complex topics, such as how to structure growing graphical applications, and how cross-platform applications can integrate with each desktop operating system to create a seamless user experience. By delving into techniques and best practices for organizing and scaling Go-based graphical applications, you'll also glimpse Go's impressive concurrency system. In the concluding chapters, you'll discover how to distribute to the main desktop marketplaces and distribution channels. By the end of this book, you'll be a confident GUI developer who can use the Go language to boost the performance of your applications. What you will learn * Understand the benefits and complexities of building native graphical applications * Gain insights into how Go makes cross-platform graphical application development simple * Build platform-native GUI applications using andlabs/ui * Develop graphical Windows applications using Walk * Create multiplatform GUI applications using Shiny, Nuklear, and Fyne * Use Go wrappers for GTK and Qt for GUI application development * Streamline your requirements to pick the correct toolkit strategy Who this book is for This book is designed for Go developers who are interested in building native graphical applications for desktop computers and beyond. Some knowledge of building applications using Go is useful, but not essential. Experience in developing GUIs is not required as the book explores the benefits and challenges they pose. This book will also be beneficial for GUI application developers who are interested in trying Go.

Master the art of implementing scalable and reactive microservices in your production environment with Java 11 Key Features * Use domain-driven designs to build microservices * Explore various microservices design patterns such as service discovery, registration, and API Gateway * Use Kafka, Avro, and Spring Streams to implement event-based microservices Book Description Microservices are key to designing scalable, easy-to-maintain applications. This latest edition of Mastering Microservices with Java, works on Java 11. It covers a wide range of exciting new developments in the world of microservices, including microservices patterns, interprocess communication with gRPC, and service orchestration. This book will help you understand how to implement microservice-based systems from scratch. You'll start off by understanding the core concepts and framework, before focusing on the high-level design of large software projects. You'll then use Spring Security to secure microservices and test them effectively using REST Java clients and other tools. You will also gain experience of using the Netflix OSS suite, comprising the API Gateway, service discovery and registration, and Circuit Breaker. Additionally, you'll be introduced to the best patterns, practices, and common principles of microservice design that will help you to understand how to troubleshoot and debug the issues faced during development. By the end of this book, you'll have learned how to build smaller, lighter, and faster services that can be implemented easily in a production environment. What you will learn * Use domain-driven designs to develop and implement microservices * Understand how to implement microservices using Spring Boot * Explore service orchestration and distributed transactions using the Sagas * Discover interprocess communication using REpresentational State Transfer (REST) and events * Gain knowledge of how to implement and design reactive microservices * Deploy and test various microservices Who this book is for This book is designed for Java developers who are familiar with microservices architecture and now want to effectively implement microservices at an enterprise level. Basic knowledge and understanding of core microservice elements and applications is necessary.

Integrate your React applications with React to build efficient web services. Key Features * Learn React by building applications with Create React App * Create interactive UIs exploring the latest feature of CRA 2.0 * Build Progressive Web Applications for a more seamless web Book Description If you're a power user and you aren’t happy always reusing default configurations, from previous applications with each new application, then all you need is Create React App (CRA), a tool in the React ecosystem designed to help you create boilerplate code for building a web frontend. This book will help you use CRA to write React programs without significant configuration-related difficulties. With this quick start guide, you will integrate your applications with React to build efficient professional web services.You will learn to design UIs with the features of CRA and template your React applications. By the end of the book, you will be sufficiently skilled to be able to build faster and effective React apps using CRA. What you will learn * Become familiar with React by building applications with Create React App * Make your frontend development hassle free * Create interactive UIs exploring the latest features of CRA 2 * Build modern, React projects with, SASS,and progressive web applications * Develop proxy backend servers and simulate interaction with a full backend * Keep your application fully tested and maintain confidence in your project Who this book is for The book is intended for the web developers who want to jump into building great frontend with React using easy templating solutions.

Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in Python Key Features * Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI * Build expert neural networks in Python using popular libraries such as Keras * Includes projects such as object detection, face identification, sentiment analysis, and more Book Description Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio. What you will learn * Learn various neural network architectures and its advancements in AI * Master deep learning in Python by building and training neural network * Master neural networks for regression and classification * Discover convolutional neural networks for image recognition * Learn sentiment analysis on textual data using Long Short-Term Memory * Build and train a highly accurate facial recognition security system Who this book is for This book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network projects in Python. Readers should already have some basic knowledge of machine learning and neural networks.

Discover the latest features of Spring framework by building robust, fast, and reactive web applications Key Features * Take advantage of all the features of Spring 5.0 with third party tools to build a robust back end * Secure Spring based web application using Spring Security framework with LDAP and OAuth protocol * Develop robust and scalable microservice based applications on Spring Cloud, using Spring Boot Book Description Spring makes it easy to create RESTful applications, merge with social services, communicate with modern databases, secure your system, and make your code modular and easy to test. With the arrival of Spring Boot, developers can really focus on the code and deliver great value, with minimal contour. This book will show you how to build various projects in Spring 5.0, using its features and third party tools. We'll start by creating a web application using Spring MVC, Spring Data, the World Bank API for some statistics on different countries, and MySQL database. Moving ahead, you'll build a RESTful web services application using Spring WebFlux framework. You'll be then taken through creating a Spring Boot-based simple blog management system, which uses Elasticsearch as the data store. Then, you'll use Spring Security with the LDAP libraries for authenticating users and create a central authentication and authorization server using OAuth 2 protocol. Further, you'll understand how to create Spring Boot-based monolithic application using JHipster. Toward the end, we'll create an online book store with microservice architecture using Spring Cloud and Net?ix OSS components, and a task management system using Spring and Kotlin. By the end of the book, you'll be able to create coherent and ?exible real-time web applications using Spring Framework. What you will learn * Build Spring based application using Bootstrap template and JQuery * Understand the Spring WebFlux framework and how it uses Reactor library * Interact with Elasticsearch for indexing, querying, and aggregating data * Create a simple monolithic application using JHipster * Use Spring Security and Spring Security LDAP and OAuth libraries for Authentication * Develop a microservice-based application with Spring Cloud and Netflix * Work on Spring Framework with Kotlin Who this book is for This book is for competent Spring developers who wish to understand how to develop complex yet flexible applications with Spring. You must have a good knowledge of Java programming and be familiar with the basics of Spring.

Understand how to apply distributed tracing to microservices-based architectures Key Features * A thorough conceptual introduction to distributed tracing * An exploration of the most important open standards in the space * A how-to guide for code instrumentation and operating a tracing infrastructure Book Description Mastering Distributed Tracing will equip you to operate and enhance your own tracing infrastructure. Through practical exercises and code examples, you will learn how end-to-end tracing can be used as a powerful application performance management and comprehension tool. The rise of Internet-scale companies, like Google and Amazon, ushered in a new era of distributed systems operating on thousands of nodes across multiple data centers. Microservices increased that complexity, often exponentially. It is harder to debug these systems, track down failures, detect bottlenecks, or even simply understand what is going on. Distributed tracing focuses on solving these problems for complex distributed systems. Today, tracing standards have developed and we have much faster systems, making instrumentation less intrusive and data more valuable. Yuri Shkuro, the creator of Jaeger, a popular open-source distributed tracing system, delivers end-to-end coverage of the field in Mastering Distributed Tracing. Review the history and theoretical foundations of tracing; solve the data gathering problem through code instrumentation, with open standards like OpenTracing, W3C Trace Context, and OpenCensus; and discuss the benefits and applications of a distributed tracing infrastructure for understanding, and profiling, complex systems. What you will learn * How to get started with using a distributed tracing system * How to get the most value out of end-to-end tracing * Learn about open standards in the space * Learn about code instrumentation and operating a tracing infrastructure * Learn where distributed tracing fits into microservices as a core function Who this book is for Any developer interested in testing large systems will find this book very revealing and in places, surprising. Every microservice architect and developer should have an insight into distributed tracing, and the book will help them on their way. System administrators with some development skills will also benefit. No particular programming language skills are required, although an ability to read Java, while non-essential, will help with the core chapters.

A comprehensive guide to mastering the most advanced Hadoop 3 concepts Key Features * Get to grips with the newly introduced features and capabilities of Hadoop 3 * Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystem * Sharpen your Hadoop skills with real-world case studies and code Book Description Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you’ll understand advanced concepts of the Hadoop ecosystem tool. You’ll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You’ll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you’ll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you’ll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you’ll be equipped to tackle a range of real-world problems in data pipelines. What you will learn * Gain an in-depth understanding of distributed computing using Hadoop 3 * Develop enterprise-grade applications using Apache Spark, Flink, and more * Build scalable and high-performance Hadoop data pipelines with security, monitoring, and data governance * Explore batch data processing patterns and how to model data in Hadoop * Master best practices for enterprises using, or planning to use, Hadoop 3 as a data platform * Understand security aspects of Hadoop, including authorization and authentication Who this book is for If you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. You’ll also find this book useful if you’re a Hadoop professional looking to strengthen your knowledge of the Hadoop ecosystem. Fundamental knowledge of the Java programming language and basics of Hadoop is necessary to get started with this book.

A comprehensive guide packed with the latest features of Dynamics 365 for customer relationship management Key Features * Create efficient client-side apps and customized plugins that work seamlessly * Learn best practices from field experience to use Dynamics 365 efficiently * Unleash the power of Dynamics 365 to maximize your organization’s profits Book Description Microsoft Dynamics 365 is an all-in-one business management solution that's easy to use and adapt. It helps you connect your finances, sales, service, and operations to streamline business processes, improve customer interactions, and enable growth. This book gives you all the information you need to become an expert in MS Dynamics 365. This book starts with a brief overview of the functional features of Dynamics 365. You will learn how to create Word and Excel templates using CRM data to enable customized data analysis for your organization. This book helps you understand how to use Dynamics 365 as an XRM Framework, gain a deep understanding of client-side scripting in Dynamics 365, and create client-side applications using JavaScript and the Web API. In addition to this, you will discover how to customize Dynamics 365, and quickly move on to grasp the app structure, which helps you customize Dynamics 365 better. You will also learn how Dynamics 365 can be seamlessly embedded into various productivity tools to customize them for machine learning and contextual guidance. By the end of this book, you will have mastered utilizing Dynamics 365 features through real-world scenarios. What you will learn * Manage various divisions of your organization using Dynamics 365 customizations * Explore the XRM Framework and leverage its features * Provide an enhanced mobile and tablet experience * Develop client-side applications using JavaScript and the Web API * Understand how to develop plugins and workflows using Dynamics 365 * Explore solution framework improvements and new field types Who this book is for Mastering Microsoft Dynamics 365 Customer Engagement is for you if you have knowledge of Dynamics CRM and want to utilize the latest features of Dynamics 365. This book is also for you if you’re a skilled developer looking to move to the Microsoft stack to build business solution software. Extensive Dynamics CRM development experience will be beneficial to understand the concepts covered in this book.

Plug the gaps in your network’s infrastructure with resilient network security models Key Features * Develop a cost-effective and end-to-end vulnerability management program * Explore best practices for vulnerability scanning and risk assessment * Understand and implement network enumeration with Nessus and Network Mapper (Nmap) Book Description Digitization drives technology today, which is why it’s so important for organizations to design security mechanisms for their network infrastructures. Analyzing vulnerabilities is one of the best ways to secure your network infrastructure. This Learning Path begins by introducing you to the various concepts of network security assessment, workflows, and architectures. You will learn to employ open source tools to perform both active and passive network scanning and use these results to analyze and design a threat model for network security. With a firm understanding of the basics, you will then explore how to use Nessus and Nmap to scan your network for vulnerabilities and open ports and gain back door entry into a network. As you progress through the chapters, you will gain insights into how to carry out various key scanning tasks, including firewall detection, OS detection, and access management to detect vulnerabilities in your network. By the end of this Learning Path, you will be familiar with the tools you need for network scanning and techniques for vulnerability scanning and network protection. This Learning Path includes content from the following Packt books: * Network Scanning Cookbook by Sairam Jetty * Network Vulnerability Assessment by Sagar Rahalkar What you will learn * Explore various standards and frameworks for vulnerability assessments and penetration testing * Gain insight into vulnerability scoring and reporting * Discover the importance of patching and security hardening * Develop metrics to measure the success of a vulnerability management program * Perform configuration audits for various platforms using Nessus * Write custom Nessus and Nmap scripts on your own * Install and configure Nmap and Nessus in your network infrastructure * Perform host discovery to identify network devices Who this book is for This Learning Path is designed for security analysts, threat analysts, and security professionals responsible for developing a network threat model for an organization. Professionals who want to be part of a vulnerability management team and implement an end-to-end robust vulnerability management program will also find this Learning Path useful.

Create a real-world application in Go and explore various frameworks and methodologies for full-stack development Key Features * Organize your isomorphic codebase to enhance the maintainability of your application * Build web APIs and middleware in the Go language by making use of the popular Gin framework * Implement real-time web application functionality with WebSockets Book Description The Go programming language has been rapidly adopted by developers for building web applications. With its impressive performance and ease of development, Go enjoys the support of a wide variety of open source frameworks, for building scalable and high-performant web services and apps. Hands-On Full Stack Development with Go is a comprehensive guide that covers all aspects of full stack development with Go. This clearly written, example-rich book begins with a practical exposure to Go development and moves on to build a frontend with the popular React framework. From there, you will build RESTful web APIs utilizing the Gin framework. After that, we will dive deeper into important software backend concepts, such as connecting to the database via an ORM, designing routes for your services, securing your services, and even charging credit cards via the popular Stripe API. We will also cover how to test, and benchmark your applications efficiently in a production environment. In the concluding chapters, we will cover isomorphic developments in pure Go by learning about GopherJS. As you progress through the book, you'll gradually build a musical instrument online store application from scratch. By the end of the book, you will be confident in taking on full stack web applications in Go. What you will learn * Understand Go programming by building a real-world application * Learn the React framework to develop a frontend for your application * Understand isomorphic web development utilizing the GopherJS framework * Explore methods to write RESTful web APIs in Go using the Gin framework * Learn practical topics such as ORM layers, secure communications, and Stripe's API * Learn methods to benchmark and test web APIs in Go Who this book is for Hands-On Full Stack Development with Go will appeal to developers who are looking to start building amazing full stack web applications in Go. Basic knowhow of Go language and JavaScript is expected. The book targets web developers who are looking to move to the Go language.

Learn how to build complete machine learning systems with IBM Cloud and Watson Machine learning services Key Features * Implement data science and machine learning techniques to draw insights from real-world data * Understand what IBM Cloud platform can help you to implement cognitive insights within applications * Understand the role of data representation and feature extraction in any machine learning system Book Description IBM Cloud is a collection of cloud computing services for data analytics using machine learning and artificial intelligence (AI). This book is a complete guide to help you become well versed with machine learning on the IBM Cloud using Python. Hands-On Machine Learning with IBM Watson starts with supervised and unsupervised machine learning concepts, in addition to providing you with an overview of IBM Cloud and Watson Machine Learning. You'll gain insights into running various techniques, such as K-means clustering, K-nearest neighbor (KNN), and time series prediction in IBM Cloud with real-world examples. The book will then help you delve into creating a Spark pipeline in Watson Studio. You will also be guided through deep learning and neural network principles on the IBM Cloud using TensorFlow. With the help of NLP techniques, you can then brush up on building a chatbot. In later chapters, you will cover three powerful case studies, including the facial expression classification platform, the automated classification of lithofacies, and the multi-biometric identity authentication platform, helping you to become well versed with these methodologies. By the end of this book, you will be ready to build efficient machine learning solutions on the IBM Cloud and draw insights from the data at hand using real-world examples. What you will learn * Understand key characteristics of IBM machine learning services * Run supervised and unsupervised techniques in the cloud * Understand how to create a Spark pipeline in Watson Studio * Implement deep learning and neural networks on the IBM Cloud with TensorFlow * Create a complete, cloud-based facial expression classification solution * Use biometric traits to build a cloud-based human identification system Who this book is for This beginner-level book is for data scientists and machine learning engineers who want to get started with IBM Cloud and its machine learning services using practical examples. Basic knowledge of Python and some understanding of machine learning will be useful.

Leverage the power of MongoDB 4.x to build and administer fault-tolerant database applications Key Features * Master the new features and capabilities of MongoDB 4.x * Implement advanced data modeling, querying, and administration techniques in MongoDB * Includes rich case-studies and best practices followed by expert MongoDB developers Book Description MongoDB is the best platform for working with non-relational data and is considered to be the smartest tool for organizing data in line with business needs. The recently released MongoDB 4.x supports ACID transactions and makes the technology an asset for enterprises across the IT and fintech sectors. This book provides expertise in advanced and niche areas of managing databases (such as modeling and querying databases) along with various administration techniques in MongoDB, thereby helping you become a successful MongoDB expert. The book helps you understand how the newly added capabilities function with the help of some interesting examples and large datasets. You will dive deeper into niche areas such as high-performance configurations, optimizing SQL statements, configuring large-scale sharded clusters, and many more. You will also master best practices in overcoming database failover, and master recovery and backup procedures for database security. By the end of the book, you will have gained a practical understanding of administering database applications both on premises and on the cloud; you will also be able to scale database applications across all servers. What you will learn * Perform advanced querying techniques such as indexing and expressions * Configure, monitor, and maintain a highly scalable MongoDB environment * Master replication and data sharding to optimize read/write performance * Administer MongoDB-based applications on premises or on the cloud * Integrate MongoDB with big data sources to process huge amounts of data * Deploy MongoDB on Kubernetes containers * Use MongoDB in IoT, mobile, and serverless environments Who this book is for This book is ideal for MongoDB developers and database administrators who wish to become successful MongoDB experts and build scalable and fault-tolerant applications using MongoDB. It will also be useful for database professionals who wish to become certified MongoDB professionals. Some understanding of MongoDB and basic database concepts is required to get the most out of this book.

The Breakfast Club meets Guardians of the Galaxy in this YA sci-fi adventure by debut author M. K. England.Hotshot pilot Nax Hall has a history of making poor life choices. So it’s not exactly a surprise when he’s kicked out of the elite Ellis Station Academy in less than twenty-four hours. But Nax’s one-way trip back to Earth is cut short when a terrorist group attacks the Academy.Nax and three other washouts escape—barely—but they’re also the sole witnesses to the biggest crime in the history of space colonization. And the perfect scapegoats.On the run, Nax and his fellow failures plan to pull off a dangerous heist to spread the truth. Because they may not be “Academy material,” and they may not even get along, but they’re the only ones left to step up and fight.Full of high-stakes action, subversive humor, and underdogs becoming heroes, this YA sci-fi adventure is perfect for fans of Illuminae, Heart of Iron, or the cult classic TV show Firefly and is also a page-turning thrill ride that anyone—not just space nerds—can enjoy.

本故事为鲁迅创作的作品之一。这篇小说取材于女娲造人和补天的神话。小说开篇写女娲从梦中惊醒，烦闷、懊恼，自然界则是一片春回大地的绚烂景象。和风吹拂，女娲百无聊赖，心神不安，青春焕发，精力饱满而无处发泄。她走向海边，无意识捏弄软泥，于是创造了人。女娲因生命力受压抑而发挥了劳动创造精神，创造了人类，补好了崩裂的天。这是作者对封建思想意识礼教道德的勇敢挑战和彻底否定，体现了强烈的反封建精神。全书为日文版。难词标注假名，供日语学习者学习使用。

Laura Elizabeth Howe Richards (1850 – 1943) was an American writer. She born in Boston, Massachusetts, to a high-profile family. During her life, she wrote over 90 books, including children's, biographies,poetry, and others. A well-known children's poem for which she is noted is theliterary nonsense verse Eletelephony. Her father was Dr. Samuel Gridley Howe, an abolitionist and the founder of thePerkins Institution and Massachusetts School for the Blind. Samuel Gridley Howe's famous pupil Laura Bridgman was Laura's namesake.Julia Ward Howe, Laura's mother, was famous for writing the words to The Battle Hymn of the Republic. In 1871 Laura married Henry Richards. He would accept a management position in 1876 at his family's paper mill at Gardiner, Maine, where the couple moved with their three children.In 1917 Laura won a Pulitzer Prize for Julia Ward Howe, 1819-1910, a biography, which she co-authored with her sister, Maud Howe Elliott. Her children's book Tirra Lirra won the Lewis Carroll Shelf Award in 1959. A pre-kindergarten to second grade Elementary School in Gardiner, Mainehonors her name. Works:? St. Nicholas Magazine (contributed poetry)? Baby's Rhyme Book (1878)? Babyhood: Rhymes and Stories, Pictures and Silhouettes for Our Little Ones (1878)? Baby's Story Book (1878)? Five Mice in a Mouse Trap (1880)? The Little Tyrant (1880)? Our Baby's Favorite (1881)? Sketches and Scraps (1881)? Baby Ways (1881)? The Joyous Story of Toto (1885)? Beauty and the Beast (retelling, 1886)? Four Feet, Two Feet, and No Feet (1886)? Hop o' My Thumb (retelling, 1886)? Kaspar Kroak's Kaleidoscope (1886)? L.E.R. (privately printed, 1886)? Tell-Tale from Hill and Dale (1886)? Toto's Merry Winter (1887)? Julia Ward Howe Birthday-Book (1889)? In My Nursery (1890)? Captain January (later made into a movie with Shirley Temple, 1891)? Star Bright (Captain January sequel, 1927)? The Hildegarde Series? Queen Hildegarde (1889)? Hildegarde's Holiday (1891)? Hildegarde's Home (1892)? Hildegarde's Neighbors (1895)? Hildegarde's Harvest (1897)? The Melody Series? Melody (1893)? Marie (1894)? Bethsada Pool (1895)? Rosin the Beau (1898)? The Margaret Series? Three Margarets (1897)? Margaret Montfort (1898)? Peggy (1899)? Rita (1900)? Fernley House (1901)? The Merryweathers (1904)? Glimpses of the French Court (1893)? When I Was Your Age (1893)? Narcissa, or the Road to Rome (1894)? Five Minute Stories (1895)? Jim of Hellas, or In Durance Vile (1895)? Nautilus (1895)? Isla Heron (1896)? "Some Say" and Neighbors in Cyrus (1896)? The Social Possibilities of a Country Town (1897)? Love and Rocks (1898)? Chop-Chin and the Golden Dragon (1899)? Quicksilver Sue (1899)? The Golden-Breasted Kootoo (1899)? Sundown Songs (1899)? For Tommy and Other Stories (1900)? Snow-White, or The House in the Wood (1900)? Geoffrey Strong (1901)? Mrs. Tree (1902)? The Hurdy-Gurdy (1902)? More Five Minute Stories (1903)? The Green Satin Gown (1903)? The Tree in the City (1903)? Mrs. Tree's Will (1905)? The Armstrongs (1905)? The Piccolo (1906)? The Silver Crown, Another Book of Fables (1906)? At Gregory's House (1907)? Grandmother, the Story of a Life that Never was Lived (1907)? Ten Ghost Stories (1907)? The Pig Brother, and Other Fables and Stories (1908)? The Wooing of Calvin Parks (1908)? A Happy Little Time (1910)? Up to Calvin's (1910)? On Board the Mary Sands (1911)? Jolly Jingles (1912)? Miss Jimmy (1913)? The Little Master (1913)? Three Minute Stories (1914)? The Pig Brother Play-Book (1915)? Fairy Operettas (1916)? Pippin, a Wandering Flame (1917)? A Daughter of Jehu (1918)? To Arms! Songs of the Great War (1918)? Honor Bright: A Story for Girls (1920)? In Blessed Cyrus (1921)? The Squire (1923)? Acting Charades (1924)? Seven Oriental Operettas (1924)? Honor Bright's New Adventure (1925)? Biographies

Kapitalist üretim tarz?n?n egemen oldu?u toplumlar?n zenginli?i, "muazzam bir meta birikimi" olarak kendini g?sterir, bunun birimi tek bir metad?r. Ara?t?rmalar?m?z?n, bu nedenle, meta?n tahlili ile ba?lamas? gerekir. Meta, her ?eyden ?nce, bizim d???m?zda bir nesnedir ve, ta??d??? ?zellikleriyle, ?u ya da bu türden insan gereksinmelerini gideren bir ?eydir. Bu gereksinmelerin niteli?i, ?rne?in ister mideden, ister hayalden ??km?? olsun, bir ?ey de?i?tirmez. Burada nesnenin, bu gereksinmeleri, ge?im arac? olarak do?rudan do?ruya m?, yoksa üretim arac? olarak dolayl? yoldan m?, nas?l giderdi?i de bizi ilgilendirmemektedir. Demir, ka??t vb. gibi her yararl? ?eye, iki g?rü? a??s?ndan, nitelik ve nicelik a??s?ndan bak?labilir. Her yararl? ?ey, bir?ok ?zelliklerin bir bütünüdür ve bunun i?in ?e?itli y?nlerden yararl? olabilir. ?eylerin ?e?itli kullan?mlar?n? bulup ortaya ??karmak tarihin i?idir. Yararl? nesnelerin niceli?ini ?l?mek i?in toplumca benimsenen ?l?üleri saptamak da b?yledir. Bu ?l?ülerin farkl? olu?unun nedeni, k?smen ?l?ülecek nesnelerin niteliklerinin farkl? olu?u, k?smen de al??kanl?klard?r. Bir ?eyin yararl?l???, onu, bir kullan?m-de?eri haline getirir. Ama bu yararl?l?k, belirsiz bir ?ey de?ildir. Meta?n fiziksel ?zellikleriyle s?n?rl? oldu?u i?in, o, metadan ayr? bir varl??a sahip de?ildir. Demir olsun, bu?day olsun ya da elmas olsun, bir meta, bu nedenle, maddi bir ?ey oldu?u i?in, bir kullan?m-de?eridir, yararl? bir ?eydir. Meta?n bu ?zelli?i, o meta?n yararl? niteliklerinden yararlanmak i?in gerekli olan emek miktar?na ba??ml? de?ildir. Karl Marx, “Das Kapital’i bundan yakla??k 150 y?l ?nce yazd?. Bugüne kadar üzerinde yüzlerce yorum yap?l?p binlerce kitap yay?nland?. Peki ama, Karl Marx Das Kapital’de ger?ekte neyi ve hangi sistemi anlatmaya ?al???yordu? Yahudilikle ba?lant?lar? neydi? ??ddia edildi?i gibi baz? büyük bankerlerle ve bizatihi Kapitalizmin kendisiyle bir ili?kisi var m?yd?? Karl Marx’a ait oldu?u iddia edilen ünlü yahudi banker ailesi, Rothschild ailesinden geliyor oldu?unu iddia eden bir soy a?ac? ?izimi ger?ekte var m?yd?? Halihaz?rda “Komunizm“ ve paralelindeki “Marksizm” ve buna paralel olan “Sosyalizm”; tarihte Kapitalizm’e kar?? bir kar?? devrim hareketi olarak, bir Anti-Tez olarak, yine bu büyük bankerler ve tüm dünya genelinde ana kapital’i kontrol eden bu yahudi aileleri taraf?ndan m? ortaya ??kart?lm??t? ve Marx, bunun ger?ekle?mesinde ?ncü bir rol mü oynam??t?? Bu eseri yazarken, Bundan sonraki ü? d?rt y?l boyunca, büyük yap?t? bütünlü?ü i?inde be? alt? kez üst üste okudum. Marx'?n ba?vurdu?u geni? ekonomi literatürünün de i?ine dald?m. Marx'a y?neltilen burjuva, akademik ve sosyal demokrat ele?tirileri inceledim; Kautsky, Lenin, Hilferding, Luxemburg, Buharin ve ba?kalar?n?n Das Kapital'e ili?kin geli?tirdikleri yorumlarla da tan??t?m. Ba?lang?? noktam olan ?iir ve esteti?i gerilerde b?rakarak, tüm entellektüel tutkumu, ticari dola??m, toprak rant?, tar?mda sermayenin yo?unla?mas?, k?r oran?n?n dü?mesi ve i??i s?n?f?n?n yoksulla?mas?na ili?kin mali doktrinlere ve bu bahts?z bilimin di?er y?nlerine y?nelttim. Ricardo, Sismondi, Sombart, B?hm-Bawerk ve Keynes'in ilk zamanlar?ndaki ?al??malar?ndan, tekrar ve tekrar Das Kapital'e d?ndüm ve bu sistemleri ve bilimsel uzant?lar?n? bu eserde das kapital’e gore yeniden yorumlad?m. Tüm bu yorumlamalar ve bunlara ili?kin kafan?zdaki pek ?ok soru i?aretinin cevaplar?n? bu eserde bulacaks?n?z.. ?? K?saca Karl Marx [1818-1883] ?Karl Marx, 5 may?s 1818 do?umlu filozof, siyaset bilimci ve devrimci karakter. Tam ad?yla Karl Heinrich Marx, komünizmin fikri babas? ve teorideki kurucusu kabul edilir. Fikirleri Lenin gibi bir?ok devrimciyi etkilemi?tir. 14 mart 1883 tarihinde Londra'da ?lmü?tür. Karl Marx'?n herkes?e bilinen dev eseri 'Das Kapital'dir. Ekonomi Politi?in Ele?tirisi alt ba?l?kl? bu kitap, Karl Marx'?n en ?nemli yap?tlar?ndand?r. Toplam ü? cilttir. 2. ve 3. ciltler Marx'?n ?lümünden sonra, dostu ve ?al??ma arkada?? 'Friedrich Engels' taraf?ndan notlar?n?n düzenlenmesi sayesinde yay?nlanabilmi?tir. ? ?Karl Marx'?n di?er baz? eserleri: ?- 1844 Elyazmalar? (1844) ?- Kutsal Aile (1845) ?- Feuerbach ?zerine Tezler (1845) ?- Alman ?deolojisi (1845-1846) ?- Felsefenin Sefaleti (1847) ?- Komünist Manifesto (1847-1848) ?- ?cretli Emek ve Sermaye (1848-1849) ?- Fransa'da S?n?f Sava??mlar? (1850) ?- Louis Bonaparte'in 18 Brumaire'i (1852) ?- Grundrisse (1857-1858) ?- Ekonomi Politi?in Ele?tirisine Katk? (1859) ?- Art?-De?er Teorileri (1862-1863) ?- Fransa'da ?? Sava? (1871) ?- Gotha Program?'n?n Ele?tirisi (1875)

Una novela que sigue siendo de actualidad. Gastón,un joven adinerado que despilfarra gran parte de la fortuna que le ha heredadosu madre, descubre que puede vivir de una manera distinta, recuperar lo que ha perdido y de paso, encontrarse con el amor y honestidad que no había experimentado antes. Escrita de forma sencilla y accesible, "El tesoro de Gastón" es una de las muchas fabulosas obras escritas por la condesa Emilia Pardo Bazán.

ONCE upon a time, a long while ago—in fact long before Egypt had risen to power and before Rome or Greece had ever been heard of—and that was some time before you were born, you know—there was a king who reigned over a very large and powerful kingdom. Now this king was rather old, he had founded his kingdom himself, and he had reigned over it nine hundred and ninety-nine and a half years already. As I have said before, it was a very large kingdom, for it contained, among other things, the whole of the western half of the world. The rest of the world was divided into smaller kingdoms, and each kingdom was ruled over by separate princes, who, however, were none of them so old as Intafernes, as he was called.

In preparing this brief account of the chief incidents in Our Lord's Life, the writer has endeavoured to keep as close as possible to the sacred text; its divine simplicity being far preferable to any other style of writing the story. The easiest words and those most familiar to children have generally been used and every effort has been made to adapt the volume to the intelligence of the young with the view of instilling into their minds the love of our Saviour for mankind as shown in the beautiful story of His life. ? KING DAVID. In ages past God made the world: the earth, the sea, the hills, the streams, the trees; the fish, birds and beasts; last of all He made Adam, the first man, and Eve his wife, and they lived in the Garden of Eden. They were quite good at first, but tempted by Satan they ate the fruit of a tree God told them not to eat, and that brought sin into the world; they could not live for ever now, they must die; but that their souls might go to heaven, God's own Son said He would come down on earth and die to save them. God said His Son should be born of Abraham's nation, and should be one of the sons of the line of King David, who sang the sweet psalms in praise of God. Abraham was a good man, so good that God called him His friend; and from him came the people called Jews. David was one of their kings. God always keeps His word, but He makes men wait till it is His time to do as He says; and it was a long, long time after Abraham and David that our Lord came to live among men. At last God sent His angel Gabriel to a young maiden, named Mary, who lived at a town called Nazareth, to tell her that God loved her, and that she should have God's Son for her own son. Our Lord would be her little babe. When Mary saw the angel she was at first afraid, but he said to her, "Fear not, Mary," and he told her that she must call the child's name Jesus—that means Saviour—for He would save the people from their sins. Then Mary must have been glad. She said, "I am God's servant; may His will be done." Mary was to be the wife of her cousin Joseph—they were both of David's family—so the angel went and told him too, that Mary should have God's Son for her own, and that he must call the child Jesus.