本故事为世界经典童话之一。安徒生童话《白雪皇后》是安徒生作品中经典的作品之一，又译冰雪女王、白雪女王、冰雪皇后、雪之女王、雪后等，曾被多个国家翻拍成不同版本的电影以及动画。童话中讲述魔鬼的一面镜子的两片碎片注入小男孩加伊（又译凯、凯伊）的内心和眼睛，从而使他变得冷酷无情，并被白雪皇后带入她的冰宫，小女孩格尔达（又译盖尔达）是加伊的好朋友，格尔达亲自寻找白雪皇后并解除加伊身上的诅咒，路上遇到重重困难终被克服。全书为日文版。难词标注假名，供日语学习者学习使用。

本故事为日本经典童话之一。《桃太郎》是日本著名民间故事，讲述从桃子里诞生的桃太郎，用糯米团子收容了小白狗、小猴子和雉鸡后，一起前往鬼岛为民除害的故事。全书为日文版。难词标注假名，供日语学习者学习使用。

本故事为蒲松龄创作的聊斋志异作品之一。描述一个奔波在野林荒坟音的妇人，被逼得现了狐狸的原形，钻进在破庙中躲风雨的穷书生王生的袍子下面，躲过了灭顶之灾。数十年后，王生官拜侍御，生一子，名元丰，从小痴傻。忽一日，一村妇，愿将女儿小翠许给元丰为妻。王生夫妇大喜，盛仪迎娶小翠。小翠美若天仙，可给王生家却带来不少的麻烦。全书为日文版。难词标注假名，供日语学习者学习使用。

《明天》讲诉了发生在还具有一点儿古风的鲁镇上在特定的“三个晚上两白天”这个时间段的故事，故事围绕着主人公寡妇单四嫂子失去自己的儿子宝儿这个事件展开全篇的事件叙述。《明天》是鲁迅先生创作的一篇小说，这篇小说之所以叫做明天，无论站在何时说这个词，它都代表将来，非现在。无论作者或主人公，都想在摆脱现实，逃往明天。至于原因，原文斑斑可寻。全书为日文版。难词标注假名，供日语学习者学习使用。

《幸福的家庭》主要讲的是在旧社会一知识分子，为赚稿费养家糊口，于是便打算投稿写一篇符合大众口味的文章。以描写知识分子想象中的幸福家庭的模样及生活方式。知识分子虚构了一个接受了民主思想的恩爱夫妻，过着浪漫、幸福的婚姻生活。与虚构小说情节鲜明对比的是：该知识分子生活困顿，过着为三餐温饱、柴米油盐而烦恼的生活。全书为日文版。难词标注假名，供日语学习者学习使用。

《白光》是现代文学家鲁迅于1922年创作的短篇小说，作者通过讲述在科举考试中一个屡屡落第的文人陈士成，听信祖宗传言，受白光的启示在院子里挖银子未果，精神迷幻，到大山里寻宝却坠湖而死的故事，批判了封建社会病态的科考制度，揭示了十年苦读反而无用的读书人的悲惨命运。全书为日文版。难词标注假名，供日语学习者学习使用。

本故事为鲁迅创作的作品之一。村里撑船的七斤，革命时进城，被人剪去了辫子。这天他在城里的咸亨酒店听说皇帝坐了龙庭，要辫子，这消息让他烦心，更让他妻子惶恐。跟七斤有过节的赵七爷特意来恐吓七斤一家，说没了辫子就是要杀头。十多天后，七斤夫妇看出了破绽，于是七斤渐渐在村里恢复了被尊重的地位，一家的生活也回到常态。全书为日文版。难词标注假名，供日语学习者学习使用。

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。

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras Key Features *Implement machine learning algorithms to build, train, and validate algorithmic models *Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions *Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics Book Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies. This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You’ll practice the ML work?ow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies. Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym. What you will learn *Implement machine learning techniques to solve investment and trading problems *Leverage market, fundamental, and alternative data to research alpha factors *Design and fine-tune supervised, unsupervised, and reinforcement learning models *Optimize portfolio risk and performance using pandas, NumPy, and scikit-learn *Integrate machine learning models into a live trading strategy on Quantopian *Evaluate strategies using reliable backtesting methodologies for time series *Design and evaluate deep neural networks using Keras, PyTorch, and TensorFlow *Work with reinforcement learning for trading strategies in the OpenAI Gym Who this book is for Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory.

Implement defensive techniques in your ecosystem successfully with Python Key Features * Identify and expose vulnerabilities in your infrastructure with Python * Learn custom exploit development . * Make robust and powerful cybersecurity tools with Python Book Description With the current technological and infrastructural shift, penetration testing is no longer a process-oriented activity. Modern-day penetration testing demands lots of automation and innovation; the only language that dominates all its peers is Python. Given the huge number of tools written in Python, and its popularity in the penetration testing space, this language has always been the first choice for penetration testers. Hands-On Penetration Testing with Python walks you through advanced Python programming constructs. Once you are familiar with the core concepts, you’ll explore the advanced uses of Python in the domain of penetration testing and optimization. You’ll then move on to understanding how Python, data science, and the cybersecurity ecosystem communicate with one another. In the concluding chapters, you’ll study exploit development, reverse engineering, and cybersecurity use cases that can be automated with Python. By the end of this book, you’ll have acquired adequate skills to leverage Python as a helpful tool to pentest and secure infrastructure, while also creating your own custom exploits. What you will learn * Get to grips with Custom vulnerability scanner development * Familiarize yourself with web application scanning automation and exploit development * Walk through day-to-day cybersecurity scenarios that can be automated with Python * Discover enterprise-or organization-specific use cases and threat-hunting automation * Understand reverse engineering, fuzzing, buffer overflows , key-logger development, and exploit development for buffer overflows. * Understand web scraping in Python and use it for processing web responses * Explore Security Operations Centre (SOC) use cases * Get to understand Data Science, Python, and cybersecurity all under one hood Who this book is for If you are a security consultant , developer or a cyber security enthusiast with little or no knowledge of Python and want in-depth insight into how the pen-testing ecosystem and python combine to create offensive tools , exploits , automate cyber security use-cases and much more then this book is for you. Hands-On Penetration Testing with Python guides you through the advanced uses of Python for cybersecurity and pen-testing, helping you to better understand security loopholes within your infrastructure .

Explore powerful Azure DevOps solutions to develop and deploy your software faster and more efficiently. Key Features * Build modern microservice-based systems with Azure architecture * Learn to deploy and manage cloud services and virtual machines * Configure clusters with Azure Service Fabric for deployment Book Description This Learning Path helps you understand microservices architecture and leverage various services of Microsoft Azure Service Fabric to build, deploy, and maintain highly scalable enterprise-grade applications. You will learn to select an appropriate Azure backend structure for your solutions and work with its toolkit and managed apps to share your solutions with its service catalog. As you progress through the Learning Path, you will study Azure Cloud Services, Azure-managed Kubernetes, and Azure Container Services deployment techniques. To apply all that you’ve understood, you will build an end-to-end Azure system in scalable, decoupled tiers for an industrial bakery with three business domains. Toward the end of this Learning Path, you will build another scalable architecture using Azure Service Bus topics to send orders between decoupled business domains with scalable worker roles processing these orders. By the end of this Learning Path, you will be comfortable in using development, deployment, and maintenance processes to build robust cloud solutions on Azure. This Learning Path includes content from the following Packt products: * Learn Microsoft Azure by Mohamed Wali * Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein * Microservices with Azure by Namit Tanasseri and Rahul Rai What you will learn * Study various Azure Service Fabric application programming models * Create and manage a Kubernetes cluster in Azure Kubernetes Service * Use site-to-site VPN and ExpressRoute connections in your environment * Design an Azure IoT app and learn to operate it in various scenarios * Implement a hybrid Azure design using Azure Stack * Build Azure SQL databases with Code First Migrations * Integrate client applications with Web API and SignalR on Azure * Implement the Azure Active Directory (Azure AD) across the entire system Who this book is for If you are an IT system architect, network admin, or a DevOps engineer who wants to implement Azure solutions for your organization, this Learning Path is for you. Basic knowledge of the Azure Cloud platform will be beneficial.

Your hands-on reference guide to developing, training, and optimizing your machine learning models Key Features * Your guide to learning efficient machine learning processes from scratch * Explore expert techniques and hacks for a variety of machine learning concepts * Write effective code in R, Python, Scala, and Spark to solve all your machine learning problems Book Description Machine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques. This book guides you to do just that in a very compact manner. After giving a quick overview of what machine learning is all about, Machine Learning Quick Reference jumps right into its core algorithms and demonstrates how they can be applied to real-world scenarios. From model evaluation to optimizing their performance, this book will introduce you to the best practices in machine learning. Furthermore, you will also look at the more advanced aspects such as training neural networks and work with different kinds of data, such as text, time-series, and sequential data. Advanced methods and techniques such as causal inference, deep Gaussian processes, and more are also covered. By the end of this book, you will be able to train fast, accurate machine learning models at your fingertips, which you can easily use as a point of reference. What you will learn * Get a quick rundown of model selection, statistical modeling, and cross-validation * Choose the best machine learning algorithm to solve your problem * Explore kernel learning, neural networks, and time-series analysis * Train deep learning models and optimize them for maximum performance * Briefly cover Bayesian techniques and sentiment analysis in your NLP solution * Implement probabilistic graphical models and causal inferences * Measure and optimize the performance of your machine learning models Who this book is for If you’re a machine learning practitioner, data scientist, machine learning developer, or engineer, this book will serve as a reference point in building machine learning solutions. You will also find this book useful if you’re an intermediate machine learning developer or data scientist looking for a quick, handy reference to all the concepts of machine learning. You’ll need some exposure to machine learning to get the best out of this book.

Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Key Features * Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras * Implement advanced concepts and popular machine learning algorithms in real-world projects * Build analytics, computer vision, and neural network projects Book Description Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects. What you will learn * Understand the Python data science stack and commonly used algorithms * Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window * Understand NLP concepts by creating a custom news feed * Create applications that will recommend GitHub repositories based on ones you’ve starred, watched, or forked * Gain the skills to build a chatbot from scratch using PySpark * Develop a market-prediction app using stock data * Delve into advanced concepts such as computer vision, neural networks, and deep learning Who this book is for This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.

《好简单！我是西班牙语入门学习书》是一本西班牙语入门学习书，为了方便学习者，字母、发音、单词、语法、句型、会话一本全部囊括其中，还配备了单词测验、填空、替换练习，随课测试自己的学习效果。1000个单词，2000句会话，内容丰富，编排清晰，是一本短时间内高效学习西班牙语的工具书。

　　《轻松玩转旅游日语大全集》是为想去旅行但不懂日语的人量身造的旅游日语工具书。 　　本书精选交通、住宿、物、餐饮等13大主题，193种旅行中一定会遇到的场景，除了具备一般教材中*正规、*完整的用法外，还特别为游客贴身设计了“懒人极短句”，又好说又准确。两种说法一起学，遇到任何情况、在任何场合都能应对自如。另外考虑到游客的需求，还特别将本书设计成了1书2用的形式，左页学习表达自己，右页学习听懂对方的回答及类似回答，能听、会说让你玩得更尽兴！而且每个句子都贴心地给出了罗马音标，翻就会说，扫描二维码还能听地道日语，现学现用就能畅游日本！另外本书还附赠标准日语发音光盘，方便学习地道的语音、语调！ 　　走遍日本，带上这本就GO！

《零起?马上口说德语》包含两大内容！? 正文部分是实用会话。该部分共有15个话题，2 000多句实用会话，网罗了生活中的方方面面，包括日常寒暄、居家生活、生活服务、交通出行、休闲娱乐、欢度节日、恋爱婚姻、交际往来、情感表达、电话交流、旅游度假、乘机事宜、宾馆住宿、时尚话题和职场工作等。? 附录部分简单介绍了德语中的人体部位、肢体动作、数字时间、水果蔬菜、公共设施、季节天气、各行各业等表达，旨在扩大读者的知识面，使读者更好地了解德国文化。

The last two things she ever expected – a man and a baby! Sacrificing her personal life to become a high-flying surgeon has left Joanna Martin with few regrets. She has learned not to risk her heart for any man – including her new senior registrar, Dylan Archer, even though her secret desire for him is as strong as her drive to succeed…. Dylan's determination to impress and break through his beautiful boss's cool exterior, both in and out of the operating theater, finally results in one night of passion. But convincing her that they could have a future together remains a challenge.Then Joanna discovers she is pregnant…

Escape to the Devon coast, with Part One of a brand-new four-part serial from the author of Willow Cottage. Daisy Wickens has returned to Ottercombe Bay, the picturesque Devon town where her mother died when she was a girl. She plans to leave as soon as her great uncle’s funeral is over, but Great Uncle Reg had other ideas. He’s left Daisy a significant inheritance – an old building in a state of disrepair, which could offer exciting possibilities, but to get it she must stay in Ottercombe Bay for twelve whole months. With the help of a cast of quirky locals, a few gin cocktails and a black pug with plenty of attitude, Daisy might just turn this into something special. But can she ever hope to be happy among the ghosts of her past? Authors and readers love Bella Osborne’s gorgeous novels: ‘I really enjoy Bella Osborne’s books’ – Katie Fforde ‘An absolutely glorious read full of laugh out loud moments and beautifully observed characters who spring to life on the page’ Phillipa Ashley ‘A warm and engaging story with relatable characters who will worm their way into your heart. A great read!’ – Talli Roland ‘Loved it! Believable characters, a sweetly told, lovely story… a great read’ – Jane Lovering ‘Romance, comedy, and mystery abound in this delightful British novel’ – I Read That Book! ‘A great read, with some really special moments… so beautiful and romantic’ – Annie’s Book Corner ‘A well-written and charming tale.’ – Paris Baker’s Book Nook ‘I wasn't expecting a debut novel to be this good’ – The Bookish & The Romantic 'Makes me feel like I should be reading it while wearing a tea dress, drinking posh coffee from a china cup and eating Victoria sandwich cake with a dainty little fork. It's charming, adorable, amusing and all those sorts of words' – Escape Into Words 'This book is perfect chick lit' – Gidget Girls Reading

Escape to the Devon coast, with Part Three of a brand-new four-part serial from the author of Willow Cottage. Daisy Wickens has returned to Ottercombe Bay, the picturesque Devon town where her mother died when she was a girl. She plans to leave as soon as her great uncle’s funeral is over, but Great Uncle Reg had other ideas. He’s left Daisy a significant inheritance – an old building in a state of disrepair, which could offer exciting possibilities, but to get it she must stay in Ottercombe Bay for twelve whole months. With the help of a cast of quirky locals, a few gin cocktails and a black pug with plenty of attitude, Daisy might just turn this into something special. But can she ever hope to be happy among the ghosts of her past? Authors and readers love Bella Osborne’s gorgeous novels: ‘I really enjoy Bella Osborne’s books’ – Katie Fforde ‘An absolutely glorious read full of laugh out loud moments and beautifully observed characters who spring to life on the page’ Phillipa Ashley ‘A warm and engaging story with relatable characters who will worm their way into your heart. A great read!’ – Talli Roland ‘Loved it! Believable characters, a sweetly told, lovely story… a great read’ – Jane Lovering ‘Romance, comedy, and mystery abound in this delightful British novel’ – I Read That Book! ‘A great read, with some really special moments… so beautiful and romantic’ – Annie’s Book Corner ‘A well-written and charming tale.’ – Paris Baker’s Book Nook ‘I wasn't expecting a debut novel to be this good’ – The Bookish & The Romantic 'Makes me feel like I should be reading it while wearing a tea dress, drinking posh coffee from a china cup and eating Victoria sandwich cake with a dainty little fork. It's charming, adorable, amusing and all those sorts of words' – Escape Into Words 'This book is perfect chick lit' – Gidget Girls Reading

Taming the boss… Neonatologist Gabriel Dalgleish is passionate about his tiny patients, and highly demanding about their care. It seems as if they are the only people he really cares for. Except for Maddie. The new medical secretary slips through Gabriel's defences, right to his vulnerable heart, making him realise everything he's missed out on in life. Yet Gabriel feels he can never be what Maddie and her young family deserve. Maddie must show him that he doesn't have to be the perfect father and husband – just a good one. All he needs to give them is his love.

‘Must read!’Closer ‘I love, love, LOVE Perfect Remains!’ Reader review ‘A superb debut!’ Reader review On a remote Highland mountain, the body of Elaine Buxton is burning. All that will be left to identify the respected lawyer are her teeth and a fragment of clothing. In the concealed back room of a house in Edinburgh, the real Elaine Buxton screams into the darkness… Detective Inspector Luc Callanach has barely set foot in his new office when Elaine’s missing persons case is escalated to a murder investigation. Having left behind a promising career at Interpol, he’s eager to prove himself to his new team. But Edinburgh, he discovers, is a long way from Lyon, and Elaine’s killer has covered his tracks with meticulous care. It’s not long before another successful woman is abducted from her doorstep, and Callanach finds himself in a race against the clock. Or so he believes … The real fate of the women will prove more twisted than he could have ever imagined. Fans of Angela Marson, Mark Billingham and M. J. Aldridge will be gripped by this chilling journey into the mind of a troubled killer.