Objects are the central concept of languages like Java, Python, C#. Applying best practices for object design means that your code will be easy to read, write, and maintain. Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time. Examples are in an instantly-familiar pseudocode, teaching techniques you can apply to any OO language, from C++ to PHP.

《妖怪大全：中国·世界篇》共收录世界各地277种妖怪，包括107种中国妖怪和170种世界其他国家和地区的妖怪。 “中国篇”讲述了白泽、毕方等上古神兽，中国的百鬼以及出没于市井乡野间的各类神仙妖怪的故事。 “世界篇”讲述了希腊诸神、爱尔兰小矮妖、巴西鸟人和越南稻子精灵等世 界各地神灵精怪的故事。
从中国到世界，水木茂用诙谐幽默的文字和夸张细致的画风，为读者勾勒出一幅妙趣横生的妖怪画卷。
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编辑推荐：
★日本鬼怪漫画之父水木茂， 继《妖怪大全》后又一力作。
★收录中国107种妖怪，亚洲、欧洲、美洲、大洋洲、非洲等地170种妖怪。
★277个妖怪故事，结合文献、传说与田野调查，“水木茂式幽默”趣味解读妖怪文化。
★277幅妖怪画作，铜版画式背景细腻厚重，漫画式人物生动诙谐，全面呈现“水木茂式点描线条画”。
★书中不仅有蠢萌版《山海经》神兽，还有痴情的夜叉，讲诚信的土地爷，无厘头的冥界之鬼，恶作剧的欧洲妖精、无私奉献的稻子精灵。
★水木茂穷尽一生用画笔捕捉妖怪，研究妖怪传说。他笔下的妖怪，形象诙谐，个性鲜明，再加上用他特有的幽默口吻娓娓道来的民间传说和神话，细细读来，不禁令人莞尔。

小野寺理纱（宫崎葵饰）四年前在婚礼上遭遇新郎逃婚，现如今心情已经平复，一直跟父母生活在一起。其父亲俊作（松重丰饰）曾经是糕点生产公司的营业部部长，现因人事变动被调到了其他的部门，而该部门新上任的部长就是俊作曾经的下属兵头幸太郎（永山瑛太饰）。其母真知子（松坂庆子饰）是一个性格开朗的家庭主妇，经常去仓桥响子（一路真辉饰）开的插花班上课。仓桥响子的前夫村上洋一（六平直政饰）是俊作的发小兼前辈，他经营了一家小酒馆，俊作是他家的常客。
四年前父亲俊作为了想和女儿女婿住在一起建了一栋双户型的别墅，然而因为理纱被逃婚，现在就理纱、俊作以及真知子，这一家三口住在别墅里。某天理纱说自己被求婚了，要带个对象回来给俊作和真知子看看，谁知带回来的人竟然是兵头幸太郎。之前的下属，现如今成了自己的上司兼准女婿……
理纱和幸太郎的感情究竟会如何发展？理纱、幸太郎会和俊作及真知子同住在一个屋檐下吗？

刚升上高中一年级的浅草绿，是个强调“设定即生命”的动画迷。虽然在素描本上描绘了各种各样的创想，却因独自行动就无法下决心的个性，而迟迟未能开始制作动画。同时，身为人气读者模特儿，被父母期待成为演员的同级生水崎燕，其实志愿成为动画师。拥有制片人气质的金森沙耶加，很快注意到了两位同级生的才能。三人为了展现脑内的“最强世界”，共同创立了映像研……

一个中年文艺工作者的肖像或他的自我发现之旅，经由情感与创作，对自我，生活，艺术与周遭世界的进一步认知。

Deep Learning for Vision Systems teaches you to apply deep learning techniques to solve real-world computer vision problems. In his straightforward and accessible style, DL and CV expert Mohamed Elgendy introduces you to the concept of visual intuition—how a machine learns to understand what it sees. Then you’ll explore the DL algorithms used in different CV applications. You’ll drill down into the different parts of the CV interpreting system, or pipeline. Using Python, OpenCV, Keras, Tensorflow, and Amazon’s MxNet, you’ll discover advanced DL techniques for solving CV problems.
Applications of focus include image classification, segmentation, captioning, and generation as well as face recognition and analysis. You’ll also cover the most important deep learning architectures including artificial neural networks (ANNs), convolutional networks (CNNs), and recurrent networks (RNNs), knowledge that you can apply to related deep learning disciplines like natural language processing and voice user interface. Real-life, scalable projects from Amazon, Google, and Facebook drive it all home. With this invaluable book, you’ll gain the essential skills for building amazing end-to-end CV projects that solve real-world problems.
What's inside
Introduction to computer vision
Deep learning and neural networks
Transfer learning and advanced CNN architectures
Image classification and captioning
Object detection with YOLO, SSD and R-CNN
Style transfer
AI ethics
Real-world projects

本书收录了加缪的女儿卡特琳娜•加缪珍藏的家庭照片、报纸影像、手稿等资料，记录了加缪如何从阿尔及利亚的贫穷少年，一步一步走上诺贝尔奖台，并最终以荒诞的方式告别人世的传奇一生。展现了阿尔贝•加缪作为小说家、剧作家、哲学家、记者，乃至丈夫和父亲的不同侧面，丰满地呈现了一个从孤独走向团结，在荒诞中坚持人生理念，传播精神力量的伟大人物。

Probabilistic Deep Learning with Python shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty and potential errors in their results.
Starting by applying the underlying maximum likelihood principle of curve fitting to deep learning, readers will move on to using the Python-based Tensorflow Probability framework, and set up Bayesian neural networks that can state their uncertainties.

How can you use data in a way that protects individual privacy, but still ensures that data analytics will be useful and meaningful? With this practical book, data architects and engineers will learn how to implement and deploy anonymization solutions within a data collection pipeline. You’ll establish and integrate secure, repeatable anonymization processes into your data flows and analytics in a sustainable manner.
Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing data, based on data collection models and use cases enabled by real business needs. These examples come from some of the most demanding data environments, using approaches that have stood the test of time.

Core Kubernetes is a reference guide designed to teach operators, SREs, and developers how to improve reliability and performance of Kubernetes-based systems. In it, Kubernetes experts Chris Love and Jay Vyas provide a guided tour through all major aspects of Kubernetes, from managing iptables to setting up dynamically scaled clusters that respond to changes in load. You’ll understand the unique security concerns of container-based applications, discover tips to minimize costly unused capacity, and get pro tips for maximizing performance. This awesome collection of undocumented internals, expert techniques, and practical guidance has invaluable information you won’t find anywhere else.
what's inside
Kubernetes base components
Kubernetes networking
Storage and the Container Storage Interface
External load balancing and ingress
Kubernetes security
Different ways of creating a Kubernetes cluster
Configuring Kubernetes to use a GPU

Seriously Good Software takes you on a journey through software development best practices as you develop a simple inefficient implementation into a robust, professional-quality application. The deceptively-simple problem—balancing water levels in multiple connected containers—presents some interesting complexities as you optimize the code for speed, efficiency, and durability. Author Marco Faella’s passion for teaching shines bright as you learn to assess performance and write thread-safe code that’s easily readable, testable, and maintainable. Along the way, you’ll gain a keen sense of the trade-offs inherent to every programming task, no matter how simple.
Each chapter contains hands-on exercises with complete, clear solutions that relate the techniques to real-world applications. Occasional pop quizzes ensure you’ve got a firm grasp on the concepts as you go along. When you’re done with this book, evaluating software qualities, considering tradeoffs and operational constraints, and asking all the right questions will be a reflex!
what's inside
Evaluating software qualities
Distinguishing between qualities that are internal, external, functional, and non-functional
Assessing tradeoffs and interactions between software qualities
Fulfilling different quality objectives for a single unifying task
Hands-on exercises and detailed solutions
Exercises covering the inner workings of the Java API

Learn dbatools in a Month of Lunches is a practical hands-on guide to automating SQL Server with PowerShell and the awesome dbatools module. You’ll master techniques you can immediately put into practice, from daily duties like backups and restores right through to performing security audits. Stabilize and standardize your SQL server environment, and simplify your tasks by building automation, alerting, and reporting with this powerful tool. Each lesson delivers another skill that you can use to speed through your core tasks as a SQL Server DBA!
what's inside
Installing dbatools in secure environments
Bulk-import any type of data into SQL Server
Instance-to-instance and customized migrations
Schedule and monitor PowerShell tasks in SQL Server Agent

★ 垮掉派的《圣经》，重新定义美国文学的世纪经典
★ “垮掉的一代”研究专家陈杰教授全新译本，刘涛在世界读书日分享并倾情朗读
★ 关联阅读：乔伊斯·约翰逊《小人物：“垮掉的一代”回忆录》
★ 随书附赠：“在路上”硫酸纸书签
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“生命是神圣的，每时每刻都弥足珍贵。我要继续追逐我的星辰。”
在人生正处于低谷时，纽约的年轻作家萨尔结识了来自西部的青年迪恩，被其无拘无束的探险精神和活力四射的疯狂举止所吸引，从此踏上了横跨大陆的冒险之旅。在1947年开始的四年间，萨尔四次西行，并同迪恩一道远赴墨西哥。他们或开车或搭便车，一路上浏览风土人情、品尝世间百态，体验各种不同的人生，经历身体的狂欢和灵魂的探索。萨尔最后找到自己心爱的姑娘并安顿下来，而迪恩则一如既往地踽踽独行。
*******************
这本书改变了我的人生，就像它改变了我们每个人的人生。
——鲍勃·迪伦，美国音乐家，2016年诺贝尔文学奖得主
数百万家咖啡吧因凯鲁亚克而开张，数万亿的李维斯牛仔裤因他而被男男女女抢购……伍德斯托克音乐节因他而诞生。
——威廉·巴勒斯，“垮掉的一代”代表作家
在过去的二十年中有一点变得越来越清晰，那就是美国的文化结构在“萨尔·帕拉迪塞”和“迪恩·莫里亚蒂”动身上路之后就与过去截然不同了。
——安·查特斯，凯鲁亚克传记作者
《在路上》是杰克·凯鲁亚克的第二部小说，它的出版是一个历史性事件……是凯鲁亚克本人在多年前命名且作为其主要代表的“垮掉的一代”的最清晰、最重要的表述。就如同《太阳照常升起》比二十年代任何一部小说都更能被认为是“迷惘的一代”的宣言一样，《在路上》将被视为“垮掉的一代”的宣言。
——《纽约时报》
杰克·凯鲁亚克的《在路上》是二十世纪中期的《哈克贝里·费恩历险记》。凯鲁亚克用公路替代了河流，用飞速的汽车替代了缓慢的木筏，用追寻自由的嬉普士替代了追寻自由的黑奴……当哈克和吉姆从美国辽阔的主动脉漂流而下，当萨尔·帕拉迪塞和迪恩·莫里亚蒂从美国的腹地呼啸而过的时候，他们都在重塑美国文学之路。
——《纽约时报书评》

故事改编自太宰治未完成遗作小说，讲述了拥有好几个情妇的文艺杂志主编田岛周二为了和她们分手，希望贪恋钱财的永井キヌ子假扮他的妻子。这对“假夫妇”将上演什么样的故事呢~

故事发生于东京，在全球最大体育盛事WSG即将召开之际，知名企业的高官却接连在赞助商酒会现场遭到绑架，而自新名古屋站至东京的最高时速1000km的真空超导磁悬浮列车也被卷入其中，一场牵动国际目光的重大案件就此展开。

这套聚焦于兴亡的世界史，由日本一流的历史学者撰写，在“世界”和“历史”两个方面刷新着我们的认知。这里有教科书中不会记载的世界和时代，也能看到非历史学家眼中的历史，正是由于这样的安排，让这套书成为一部“动态的世界史”。在首辑推出的九本中，杉山正明的蒙古史讲述世界从蒙古时代 开始真正全球化，林佳世子的奥斯曼帝国史则分析多民族共存的伊斯兰世界如何实现长期安定，石泽良昭笔下的东南亚仿佛一个自给自足的世外桃源，森安孝夫眼中的安史之乱也成为整个欧亚大陆的转折点，等等。这些不同的历史视野，融入一个共同的文明系谱，成为人类能够安心共享的知识体系。
过去的历史全集大多是涵盖整个时代、历史分期清晰的作品，换句话说，是非常静止的历史。与此相对，就像“兴亡”这个词所象征的，我们希望本系列一定要讲出世界的动态历史。在此意义上，希望它会让读者感受到很新、很有野心的题目。
——青柳正规（《兴亡的世界史》主编）
讲谈社邀请了日本一批顶尖学者，试图写出一部日本学者——通过世界史呈现日本的立场和角度——眼中的世界史。世界太大，历史太长，每卷只能叙述世界史的一个断面，聚焦全球变迁的一个时段，不过，就是这些精心选择的断面，也呈现了世界史的一些“重大时刻”和“关键事件”，因而使整个世界的历史因果链得以理解。
——葛兆光（复旦大学教授）
今天越复杂，越该回头看看历史！潮起潮落，盛衰轮转，帝国的时代一一过去，但是经验与教训却并没有过时。新的篇章正在开始，历史并未终结，这个时候，回望历史，或许会让现在与未来变得清晰，至少，让更多的人清醒。
——白岩松（著名主持人）
日本人愿意称自己为“边境”人，在很长的时间内，是世界历史的“边民”。他们身处世界尽头，千年以降遥望东西海平线上轮番上演的海市蜃楼，心有戚戚焉。由他们书写的世界史尤其是古代史，与亲身创造人类恢弘历史的那些民族的后人书写的，带有使命与愿景的历史不同——他们缺少体感，但也正因了缺少体感而少了许多偏见。
——高晓松（著名文化人、主持人）
这是一部东方视角的世界帝国史，它写出了飞速变化的时代潮流，让你感受那种在恰当的时机勃然兴起的畅快，也能看到每个帝国在漫长的衰亡过程中，其实蕴含着向下一个出口突围的机遇——很遗憾，它们基本上都错过了。
——罗振宇（罗辑思维创始人）

14世纪初的游牧小国，一跃成为囊括巴尔干半岛、阿拉伯世界和北非的大帝国。1453年，它攻陷君士坦丁堡，灭亡存在千年的拜占庭帝国；1529年，它陈兵维也纳城下，震撼哈布斯堡家族和整个欧洲。
凭借官僚统治制度，奥斯曼帝国维持辽阔疆域内部500年的和平，发展出绚丽多彩的奥斯曼文化。然而，随着民族时代的到来，奥斯曼体制于19世纪初期崩溃。本书从1050年的安托利亚局势讲起，直至1922苏丹国被废，娓娓道来小亚细亚半岛千年历史变动。奥斯曼帝国并非只是伊斯兰国家，而是“天下”，是拜占庭帝国，以及巴尔干、安纳托利亚和阿拉伯地区文化传统的继承者。

In Designing Cloud Data Platforms, you’ll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform. Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes flexibility and manageability and reduces costs. Starting with foundational principles, you’ll learn how to get data into your platform from different databases, files, and APIs, the essential practices for organizing and processing that raw data, and how to best take advantage of the services offered by major cloud vendors. As you progress past the basics you’ll take a deep dive into advanced topics to get the most out of your data platform, including real-time data management, machine learning analytics, schema management, and more.
what's inside
The tools of different public cloud for implementing data platforms
Best practices for managing structured and unstructured data sets
Machine learning tools that can be used on top of the cloud
Cost optimization techniques

Fully updated and upgrade for the latest version of Spring, Spring Microservices in Action, Second Edition is an expanded revision of a Manning bestseller. In it, you’ll learn how to build microservice-based applications using Java and the Spring platform and how to efficiently monitor and log your microservices operations. Throughout the book, carefully selected real-life examples expose microservice-based patterns for configuring, routing, scaling, and deploying your services. You'll see how Spring's intuitive tooling can help augment and refactor existing applications with microservices and how Spring Cloud Gateway makes it easy to handle multiple APIs with a single tool. You’ll also pick up best practices for using Spring with modern deployment platforms based on Kubernetes and Istio.
what's inside
Core microservice design principles
Microservices best practices
Using docker containers to run microservices
Managing configuration with Spring Cloud Config and Hashicorp Vault for sensitive information
Client-side resiliency with Hystrix, and Ribbon
Managing application metrics with Prometheus and Grafana
Intelligent routing using Spring Cloud Gateway
Distributed tracing with Spring Cloud Sleuth, Zipkin and ELK Stack
Deploying Spring Cloud applications with Kubernetes and Istio

Many organizations are running applications in cloud native environments, using containers and orchestration to facilitate scalability and resilience. But how do you know whether your deployment is secure? To fully grasp the security implications of containers and their operation, you need an understanding of what they are and how they work.
This practical book dives into the underlying technologies and components that these systems rely on to leave you better equipped to assess the security risks and potential solutions applicable to your environment. Author Liz Rice explores the building blocks and security boundaries commonly used in container-based systems and how they’re constructed in Linux.