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lgli/李保银 - 使用FastAPI构建Python微服务 (2022, ).pdf

使用FastAPI构建Python微服务李保银 Packt Publishing, Limited, Packt Publishing, [S.l.], 2022

是我自己翻译的不是官方翻译版本,下载的同学请在回复中反馈一下,让我知道自己的劳动帮助到了别人这本书教你关于FastAPI框架的组件以及如何使用一些第三方工具将这些组件应用于构建微服务应用程序。你需要具备Python编程背景,了解API开发原则以及创建企业级微服务应用程序的原则的理解。这不仅仅是一本参考书:它提供了一些代码蓝本,在详细阐述并演示每章节的主题的同时,还可以帮助你解决现实世界中应用程序的问题。

英语 [en] · 中文 [zh] · PDF · 24.4MB · 2022 · 📘 非小说类图书 · 🚀/lgli/zlib · Save

nexusstc/Kubernetes DevOps 完全秘籍（机翻）/8ebc7db23f069695f446d3381e842998.epub

Kubernetes DevOps 完全秘籍(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Leverage Kubernetes and container architecture to successfully run production-ready workloads Key Features Implement Kubernetes to orchestrate and scale applications proficiently Leverage the latest features of Kubernetes to resolve common as well as complex problems in a cloud-native environment Gain hands-on experience in securing, monitoring, and troubleshooting your application Book Description Kubernetes is a popular open source orchestration platform for managing containers in a cluster environment. With this Kubernetes cookbook, you'll learn how to implement Kubernetes using a recipe-based approach. The book will prepare you to create highly available Kubernetes clusters on multiple clouds such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Alibaba, and on-premises data centers. Starting with recipes for installing and configuring Kubernetes instances, you'll discover how to work with Kubernetes clients, services, and key metadata. You'll then learn how to build continuous integration/continuous delivery (CI/CD) pipelines for your applications, and understand various methods to manage containers. As you advance, you'll delve into Kubernetes' integration with Docker and Jenkins, and even perform a batch process and configure data volumes. You'll get to grips with methods for scaling, security, monitoring, logging, and troubleshooting. Additionally, this book will take you through the latest updates in Kubernetes, including volume snapshots, creating high availability clusters with kops, running workload operators, new inclusions around kubectl and more. By the end of this book, you'll have developed the skills required to implement Kubernetes in production and manage containers proficiently. What you will learn Deploy cloud-native applications on Kubernetes Automate testing in the DevOps workflow Discover and troubleshoot common storage issues Dynamically scale containerized services to manage fluctuating traffic needs Understand how to monitor your containerized DevOps environment Build DevSecOps into CI/CD pipelines Who this book is for This Kubernetes book is for developers, IT professionals, and DevOps engineers and teams who want to use Kubernetes to manage, scale, and orchestrate applications in their organization. Basic understanding of Kubernetes and containerization is necessary.

英语 [en] · 中文 [zh] · EPUB · 6.0MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc · Save

nexusstc/Angular 秘籍（机翻）/10181da984443a09077427c43ee593c8.epub

Angular 秘籍(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Discover actionable solutions to everyday problems in building applications with Angular and TypeScript, from app design to production deploymentKey FeaturesExplore recipes across core Angular topics to fill gaps in your knowledge of using Angular in productionDiscover industry best practices and tooling to enhance your development experience with AngularUnderstand advanced topics in Angular to help you become a proficient enterprise web developerBook DescriptionThe Angular framework, powered by Google, is the framework of choice for many web development projects built across varying scales. It's known to provide much-needed stability and a rich tooling ecosystem for building production-ready web and mobile apps. This recipe-based guide enables you to learn Angular concepts in depth using a step-by-step approach. You'll explore a wide range of recipes across key tasks in web development that will help you build high-performance apps. The book starts by taking you through core Angular concepts such as Angular components, directives, and services to get you ready for building frontend web apps. You'll develop web components with Angular and go on to cover advanced concepts such as dynamic components loading and state management with NgRx for achieving real-time performance. Later chapters will focus on recipes for effectively testing your Angular apps to make them fail-safe, before progressing to techniques for optimizing your app's performance. Finally, you'll create Progressive Web Apps (PWA) with Angular to provide an intuitive experience for users. By the end of this Angular book, you'll be able to create full-fledged, professional-looking Angular apps and have the skills you need for frontend development, which are crucial for an enterprise Angular developer.What you will learnGain a better understanding of how components, services, and directives work in AngularUnderstand how to create Progressive Web Apps using Angular from scratchBuild rich animations and add them to your Angular appsManage your app's data reactivity using RxJSImplement state management for your Angular apps with NgRxOptimize the performance of your new and existing web appsWrite fail-safe unit tests and end-to-end tests for your web apps using Jest and CypressGet familiar with Angular CDK components for designing effective Angular componentsWho this book is forThe book is for intermediate-level Angular web developers looking for actionable solutions to common problems in Angular enterprise development. Mobile developers using Angular technologies will also find this book useful. Working experience with JavaScript and TypeScript is necessary to understand the topics covered in this book more effectively.

中文 [zh] · 英语 [en] · EPUB · 10.8MB · 2021 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/Linux Shell 脚本学习手册（机翻）/dc1f02e990d8378deaa1618cddd13541.epub

Linux Shell 脚本学习手册(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Shell scripting is one of the most common and powerful ways to automate tasks in a Linux / Unix environment. With the help of real-world exercises, you will learn to leave the GUI behind, automate tasks, and unlock the true power of Bash.

英语 [en] · 中文 [zh] · EPUB · 1.5MB · 2018 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/CMake Cookbook 中文版/0df6c407cfbb24b5d65ea5377833bc53.epub

CMake Cookbook 中文版 it-ebooks iBooker it-ebooks, it-ebooks-2020, 2020

Learn CMake through a series of task-based recipes that provide you with practical, simple, and ready-to-use CMake solutions for your code Key Features Learn to configure, build, test, and package software written in C, C++, and Fortran Progress from simple to advanced tasks with examples tested on Linux, macOS, and Windows Manage code complexity and library dependencies with reusable CMake building blocks Book Description CMake is cross-platform, open-source software for managing the build process in a portable fashion. This book features a collection of recipes and building blocks with tips and techniques for working with CMake, CTest, CPack, and CDash. CMake Cookbook includes real-world examples in the form of recipes that cover different ways to structure, configure, build, and test small- to large-scale code projects. You will learn to use CMake's command-line tools and master modern CMake practices for configuring, building, and testing binaries and libraries. With this book, you will be able to work with external libraries and structure your own projects in a modular and reusable way. You will be well-equipped to generate native build scripts for Linux, MacOS, and Windows, simplify and refactor projects using CMake, and port projects to CMake. What you will learn Configure, build, test, and install code projects using CMake Detect operating systems, processors, libraries, files, and programs for conditional compilation Increase the portability of your code Refactor a large codebase into modules with the help of CMake Build multi-language projects Know where and how to tweak CMake configuration files written by somebody else Package projects for distribution Port projects to CMake Who this book is for If you are a software developer keen to manage build systems using CMake or would like to understand and modify CMake code written by others, this book is for you. A basic knowledge of C++, C, or Fortran is required to understand the topics covered in this book. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you

英语 [en] · 中文 [zh] · EPUB · 5.1MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/Linux 管理秘籍（机翻）/1e8109945a382585ba8e296b0fb1d1cf.epub

Linux 管理秘籍(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Introduction and Environment Setup Remote Administration with SSH Networking and Firewalls Services and Daemons Hardware and Disks Security, Updating, and Package Management Monitoring and Logging Permissions, SELinux, and AppArmor Containers and Virtualization Git, Configuration Management, and Infrastructure as Code Web Servers, Databases, and Mail Servers Troubleshooting and Workplace Diplomacy BSDs, Solaris, Windows, IaaS and PaaS, and DevOps

英语 [en] · 中文 [zh] · EPUB · 8.4MB · 2018 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/持续集成和交付实用手册（机翻）/2899b2e6b6a356525a273af679f28b61.epub

持续集成和交付实用手册(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Speed up the software delivery process and software productivity using the latest features of JenkinsAbout This BookTake advantage of a Continuous Integration and Continuous Delivery solution to speed up productivity and achieve faster software deliverySee all the new features introduced in Jenkins 2.x, such as Pipeline as code, Multibranch pipeline, Docker Plugin, and moreLearn to implement Continuous Integration and Continuous Delivery by orchestrating multiple DevOps tools using JenkinsWho This Book Is ForThe book is for those with little or no previous experience with Agile or CI and CD. It's a good starting point for anyone new to this field who wants to leverage the benefits of CI and CD to increase productivity and reduce delivery time. It's ideal for Build and Release engineers, DevOps engineers, SCM (Software Configuration Management) engineers, developers, testers, and project managers. If you're already using Jenkins for CI, you can take your project to the next level—CD.What You Will LearnGet to know some of the most popular ways to set up JenkinsSee all the new features introduced in the latest Jenkins, such as pipeline as code, Multibranch pipeline, and moreManage users, projects, and permissions in Jenkins to ensure better securityLeverage the power of plugins in JenkinsLearn how to create a CI pipeline using Jenkins Blue OceanCreate a distributed build farm using Docker and use it with JenkinsImplement CI and CD using JenkinsSee the difference between CD and Continuous DeploymentUnderstand the concepts of CIIn DetailIn past few years, agile software development has seen tremendous growth. There is a huge demand for software delivery solutions that are fast yet flexible to numerous amendments. As a result, Continuous Integration (CI) and Continuous Delivery (CD) methodologies are gaining popularity.This book starts off by explaining the concepts of CI and its significance in the Agile. Next, you'll learn how to configure and set up Jenkins in many different ways. The book exploits the concept of'pipeline as code'and various other features introduced in the Jenkins 2.x release to their full potential. We also talk in detail about the new Jenkins Blue Ocean interface and the features that help to quickly and easily create a CI pipeline. Then we dive into the various features offered by Jenkins one by one, exploiting them for CI and CD. Jenkins'core functionality and flexibility allows it to fit in a variety of environments and can help streamline the development process for all stakeholders. Next, you'll be introduced to CD and will learn how to achieve it using Jenkins.Through this book's wealth of best practices and real-world tips, you'll discover how easy it is to implement CI and CD using Jenkins.Style and approachThe book uses a simple Maven project to demonstrate the implementation of CI and CD using Jenkins. This step-by-step guide shows you how to implement CI/CD and can be used as a template to perform CI/CD in your projects.

英语 [en] · 中文 [zh] · EPUB · 10.5MB · 2017 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc · Save

nexusstc/Linux 架构实用手册（机翻）/510bac3423c325cdd39a39cee91de97c.epub

Linux 架构实用手册(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Explore practical use cases to learn everything from Linux components, and functionalities, through to hardware and software supportKey FeaturesGain a clear understanding of how to design a Linux environmentLearn more about the architecture of the modern Linux operating system(OS)Understand infrastructure needs and design a high-performing computing environmentBook DescriptionIt is very important to understand the flexibility of an infrastructure when designing an efficient environment. In this book, you will cover everything from Linux components and functionalities through to hardware and software support, which will help you to implement and tune effective Linux-based solutions.This book gets started with an overview of Linux design methodology. Next, you will focus on the core concepts of designing a solution. As you progress, you will gain insights into the kinds of decisions you need to make when deploying a high-performance solution using Gluster File System (GlusterFS). In the next set of chapters, the book will guide you through the technique of using Kubernetes as an orchestrator for deploying and managing containerized applications. In addition to this, you will learn how to apply and configure Kubernetes for your NGINX application. You'll then learn how to implement an ELK stack, which is composed of Elasticsearch, Logstash, and Kibana. In the concluding chapters, you will focus on installing and configuring a Saltstack solution to manage different Linux distributions, and explore a variety of design best practices. By the end of this book, you will be well-versed with designing a high-performing computing environment for complex applications to run on.By the end of the book, you will have delved inside the most detailed technical conditions of designing a solution, and you will have also dissected every aspect in detail in order to implement and tune open source Linux-based solutionsWhat you will learnStudy the basics of infrastructure design and the steps involvedExpand your current design portfolio with Linux-based solutionsDiscover open source software-based solutions to optimize your architectureUnderstand the role of high availability and fault tolerance in a resilient designIdentify the role of containers and how they improve your continuous integration and continuous deployment pipelinesGain insights into optimizing and making resilient and highly available designs by applying industry best practicesWho this book is forThis intermediate-level book is for Linux system administrators, Linux support engineers, DevOps engineers, Linux consultants or any open source technology professional looking to learn or expand their knowledge in architecting, designing and implementing solutions based on Linux and open source software. Prior experience in Linux is required.

英语 [en] · 中文 [zh] · EPUB · 2.7MB · 2019 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/Linux 内核编程（机翻）/305bb33c8ebf4239227b7e701d2021ea.epub

Linux 内核编程(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Learn how to write high-quality kernel module code, solve common Linux kernel programming issues, and understand the fundamentals of Linux kernel internalsKey FeaturesDiscover how to write kernel code using the Loadable Kernel Module frameworkExplore industry-grade techniques to perform efficient memory allocation and data synchronization within the kernelUnderstand the essentials of key internals topics such as kernel architecture, memory management, CPU scheduling, and kernel synchronizationBook DescriptionLinux Kernel Programming is a comprehensive introduction for those new to Linux kernel and module development. This easy-to-follow guide will have you up and running with writing kernel code in next-to-no time. This book uses the latest 5.4 Long-Term Support (LTS) Linux kernel, which will be maintained from November 2019 through to December 2025. By working with the 5.4 LTS kernel throughout the book, you can be confident that your knowledge will continue to be valid for years to come. You'll start the journey by learning how to build the kernel from the source. Next, you'll write your first kernel module using the powerful Loadable Kernel Module (LKM) framework. The following chapters will cover key kernel internals topics including Linux kernel architecture, memory management, and CPU scheduling. During the course of this book, you'll delve into the fairly complex topic of concurrency within the kernel, understand the issues it can cause, and learn how they can be addressed with various locking technologies (mutexes, spinlocks, atomic, and refcount operators). You'll also benefit from more advanced material on cache effects, a primer on lock-free techniques within the kernel, deadlock avoidance (with lockdep), and kernel lock debugging techniques. By the end of this kernel book, you'll have a detailed understanding of the fundamentals of writing Linux kernel module code for real-world projects and products.What you will learnWrite high-quality modular kernel code (LKM framework) for 5.x kernelsConfigure and build a kernel from sourceExplore the Linux kernel architectureGet to grips with key internals regarding memory management within the kernelUnderstand and work with various dynamic kernel memory alloc/dealloc APIsDiscover key internals aspects regarding CPU scheduling within the kernelGain an understanding of kernel concurrency issuesFind out how to work with key kernel synchronization primitivesWho this book is forThis book is for Linux programmers beginning to find their way with Linux kernel development. If you're a Linux kernel and driver developer looking to overcome frequent and common kernel development issues, or understand kernel intervals, you'll find plenty of useful information. You'll need a solid foundation of Linux CLI and C programming before you can jump in.

英语 [en] · 中文 [zh] · EPUB · 3.1MB · 2021 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/Ansible 快速启动指南（机翻）/2e51f8e1baade6bbbd6c88ad935b4837.epub

Ansible 快速启动指南(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Configure Ansible and start coding YAML playbooks using the appropriate modules Key Features Create and use Ansible Playbook to script and organise management tasks Benefit from the Ansible community roles and modules to resolve complex and niche tasks Write configuration management code to automate infrastructure Book Description Configuration Management (CM) tools help administrators reduce their workload. Ansible is one of the best Configuration Management tools, and can act as an orchestrator for managing other CMs. This book is the easiest way to learn how to use Ansible as an orchestrator and a Configuration Management tool. With this book, you will learn how to control and monitor computer and network infrastructures of any size, physical or virtual. You will begin by learning about the Ansible client-server architecture. To get started, you will set up and configure an Ansible server. You will then go through the major features of Ansible: Playbook and Inventory. Then, we will look at Ansible systems and network modules. You will then use Ansible to enable infrastructure automated configuration management, followed by best practices for using Ansible roles and community modules. Finally, you will explore Ansible features such as Ansible Vault, Ansible Containers, and Ansible plugins. What you will learn Implement Playbook YAML scripts and its capacities to simplify day-to-day tasks Setup Static and Dynamic Inventory Use Ansible predefined modules for Linux, Windows, networking, and virtualisation administration Organize and configure the host filesystem using storage and files modules Implement Ansible to enable infrastructure automated configuration management Simplify infrastructure administration Search and install new roles and enable them within Ansible Secure your data using Ansible Vault Who this book is for This book is targeted at System Administrators and Network Administrators who want to use Ansible to automate an infrastructure. No knowledge of Ansible is required. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you

英语 [en] · 中文 [zh] · EPUB · 1.2MB · 2018 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc · Save

nexusstc/精通 Kubernetes（机翻）/f4c2317d7bd9f0c1d6dc17ccd2f47d1d.epub

精通 Kubernetes(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

This new third edition of Mastering Kubernetes, updated with the latest tools and code, explores the newest features in Kubernetes 1.18 throughout the book to fully leverage the modularity and flexibility that Kubernetes offers to build and run large scale distributed applications

英语 [en] · 中文 [zh] · EPUB · 1.7MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc · Save

nexusstc/Python 智能项目（机翻）/fbb8d701e588c4624abb916b69483bf7.epub

Python 智能项目(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using PythonKey FeaturesA go-to guide to help you master AI algorithms and concepts8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillanceUse TensorFlow, Keras, and other Python libraries to implement smart AI applicationsBook DescriptionThis book will be a perfect companion if you want to build insightful projects from leading AI domains using Python.The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI.By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle.What you will learnBuild an intelligent machine translation system using seq-2-seq neural translation machinesCreate AI applications using GAN and deploy smart mobile apps using TensorFlowTranslate videos into text using CNN and RNNImplement smart AI Chatbots, and integrate and extend them in several domainsCreate smart reinforcement, learning-based applications using Q-LearningBreak and generate CAPTCHA using Deep Learning and Adversarial Learning Who this book is forThis book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and a familiarity with basic machine learning and deep learning concepts are expected to help you get the most out of the book

英语 [en] · 中文 [zh] · EPUB · 5.9MB · 2019 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc · Save

lgli/佚名 - Android系统编程移植、定制和调试Android HAL - Android System Programming Porting, customizing, and debugging Android HAL (2017, ).epub

Android系统编程移植、定制和调试(Android HAL - Android System Programming Porting, customizing, and debugging Android HAL) 佚名 Packt Publishing Limited, Packt Publishing, Birmingham, UK, 2017

google翻译中英双语

英语 [en] · 中文 [zh] · EPUB · 7.2MB · 2017 · 📘 非小说类图书 · 🚀/lgli/zlib · Save

upload/duxiu_main2/【星空藏书馆】/【星空藏书馆】等多个文件/Kindle电子书库（012）/2022更新/2022/7月/Machine Learning with Pytorch and Scikit-Learn (Sebastian Raschka, Yuxi (Hayden) Liu etc.) ).epub

MACHINE LEARNING WITH PYTORCH AND SCIKIT-LEARN : develop machine learning and deep learning... models with scikit-learn and pytorch. Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov Packt Publishing, Limited, Packt Publishing, Birmingham, 2022

PyTorch book of the bestselling and widely acclaimed Python Machine Learning series expanded to include transformers, XGBoost, and graph neural networks Key Features: Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book Description: Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, this book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach you the principles to build models and applications for yourself. Updated to cover deep learning using PyTorch, this book also introduces readers to the latest additions to scikit-learn. Moreover, this book covers various machine learning and deep learning techniques for text and image classification. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is also expanded to cover the latest trends in deep learning, including introductions to graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. What You Will Learn: Explore frameworks, models, and techniques for machines to 'learn' from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and graph neural networks Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for: If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning with Python and PyTorch deep learning code. This Python book is ideal for anyone who wants to teach computers how to learn from data. Working knowledge of the Python programming language, along with a good understanding of calculus and linear algebra is a must.

英语 [en] · 中文 [zh] · EPUB · 63.8MB · 2022 · 📘 非小说类图书 · 🚀/lgli/upload/zlib · Save

lgli/丹·图米(Dan Toomey) & chenjin5.com - 数据科学：R语言实战（异步图书） (2016, cj5).mobi

数据科学:R语言实战(异步图书) 丹·图米(Dan Toomey) & chenjin5.com cj5, Beijing; Köln, 2016

本书讲述的是R语言在数据科学中的应用,目标读者是从事不同行业的数据分析师、数据挖掘工程师、机器学习工程师、自然语言处理工程师、数据科学家,以及从事大数据和人工智能领域的工作者、学生、老师等。本书最大的优点在于其通俗易懂、容易上手,每一个实例都有现成的数据和源代码,读者不仅能理解整个案例的来龙去脉,还可以直接编译本书提供的所有源代码,从而了解怎么从实际问题转变成可实现的代码,感受R语言的魅力,让数据产生价值。这种学习和实践相结合的方式非常适合初学者和有一定经验的数据分析师。本书的内容涵盖了基于数据挖掘的常用模型,包括分类、聚类、关联分析、预测、异常检测等,还包括机器学习的常用算法和自然语言处理、数据可视化等内容。本书内容全面,做到了易读、易用、易理解、易实现、易上手,是不可多得的R语言书籍。

中文 [zh] · MOBI · 9.6MB · 2016 · 📘 非小说类图书 · 🚀/lgli/zlib · Save

nexusstc/Ansible 2 实战（机翻）/38fe45768a4ee17e6088acdaac9d3321.epub

Ansible 2 实战(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Anyone with responsibility for an IT infrastructure will benefit from the increased efficiency and reliability that can be delivered through automation with Ansible, an open-source, agentless tool that automates cloud provisioning, configuration management, application deployment, and many other infrastructures and application-related tasks.

英语 [en] · 中文 [zh] · EPUB · 1.0MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc · Save

nexusstc/Python 机器学习蓝图（机翻）/8baa082c220232c3dbb02d68df8a7428.epub

Python 机器学习蓝图(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and KerasKey FeaturesGet to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and KerasImplement advanced concepts and popular machine learning algorithms in real-world projectsBuild analytics, computer vision, and neural network projects Book DescriptionMachine 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 learnUnderstand the Python data science stack and commonly used algorithmsBuild 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 feedCreate applications that will recommend GitHub repositories based on ones you've starred, watched, or forkedGain the skills to build a chatbot from scratch using PySparkDevelop a market-prediction app using stock dataDelve into advanced concepts such as computer vision, neural networks, and deep learningWho this book is forThis 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.

英语 [en] · 中文 [zh] · EPUB · 7.1MB · 2016 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc · Save

lgli/奥]汉斯·尤尔根·舍尔希 - 由浅入深PostgreSQL (2018, 清华大学出版社出版).pdf

由浅入深PostgreSQL 奥汉斯·尤尔根·舍尔希清华大学出版社出版, Di 1 ban, Beijing, 2018

本书从一位资深PostgreSQL 专家在多年咨询、技术支持工作中的切身体会出发,深入介绍了开源数据库管理系统PostgreSQL 9.6 版本中的主要特性,其内容涵盖了作为一个PostgreSQL 数据库从业人员经常会接触到的主题:事务和锁定、索引的使用、高级SQL 处理、日志文件和统计信息、查询优化、存储过程、安全性、备份与恢复、复制、各类扩展、故障排查、系统迁移。作者通过亲身经历和直观的例子,详细介绍了PostgreSQL 主要特性的工作原理、常用配置以及常见的误区,是一本实用性很强的PostgreSQL 进阶指南,能帮助有一定PostgreSQL 知识的读者深入了解PostgreSQL 中更多更全面的高级特性。本书适合数据库管理人员和开发人员了解和学习PostgreSQL。通过阅读本书,读者可以对PostgreSQL有一个全面透彻的了解。

中文 [zh] · 英语 [en] · PDF · 5.7MB · 2018 · 📘 非小说类图书 · 🚀/duxiu/lgli/zlib · Save

nexusstc/Python 机器学习/a10e2f24433a12cbd9b60d22e82aaaff.epub

Python 机器学习 it-ebooks iBooker it-ebooks, it-ebooks-2017, 2017

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust statistical models, built for a range of datasetsBook DescriptionMachine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. What you will learnExplore how to use different machine learning models to ask different questions of your dataLearn how to build neural networks using Keras and TheanoFind out how to write clean and elegant Python code that will optimize the strength of your algorithmsDiscover how to embed your machine learning model in a web application for increased accessibilityPredict continuous target outcomes using regression analysisUncover hidden patterns and structures in data with clusteringOrganize data using effective pre-processing techniquesGet to grips with sentiment analysis to delve deeper into textual and social media dataWho this book is forIf you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.

英语 [en] · 中文 [zh] · EPUB · 6.2MB · 2017 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/精通 SVG（机翻）/820646b5e1db417db7fbccb3527a7d22.epub

精通 SVG(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Take the plunge and develop cross-browser-compatible and responsive web designs with SVG Key Features Master the art of custom animations and visualizations with SVG, CSS, and JavaScript Combine SVG with third-party libraries and frameworks such as React, JQuery, D3, and Snap.svg for GUI-rich apps Create an awesome user experience with high-performance graphics for your web applications Book Description SVG is the most powerful image format in use on the web. In addition to producing resolution-independent images for today's multi-device world, SVG allows you to create animations and visualizations to add to your sites and applications. The simplicity of cross-platform markup, mixed with familiar modern web languages, such as CSS and JavaScript, creates a winning combination for designers and developers alike. In this book, you will learn how to author an SVG document using common SVG features, such as elements and attributes, and serve SVG on the web using simple configuration tips for common web servers. You will also use SVG elements and images in HTML documents. Further, you will use SVG images for a variety of common tasks, such as manipulating SVG elements, adding animations using CSS, mastering the basic JavaScript SVG (API) using Document Object Model (DOM) methods, and interfacing SVG with common libraries and frameworks, such as React, jQuery, and Angular. You will then build an understanding of the Snap.svg and SVG.js APIs, along with the basics of D3, and take a look at how to implement interesting visualizations using the library. By the end of the book, you will have mastered creating animations with SVG. What you will learn Deliver the elements that make up an SVG image Replace your old CSS sprites with SVG Understand animation and data visualization with SVG are explained in pure JavaScript and using common libraries Use SVG to scale images across multiple devices easily Harness the power of CSS animations and transformations to manipulate your SVG images in a replicable, remixable way Interface SVG with common libraries and frameworks, such as jQuery, React, and Angular Who this book is for This book is for web developers and designers looking to add animation to their projects. Some experience with HTML, CSS, and JavaScript is required. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this bo ..

英语 [en] · 中文 [zh] · EPUB · 1.0MB · 2018 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

lgli/史天 & 肖力 & 等 & chenjin5.com - 基于Kubernetes的DevOps实践：容器加速软件交付 (2019, cj5).mobi

云计算技术实践系列丛书基于Kubernetes的DevOps实践容器加速软件交付史天 & 肖力 & 等 & chenjin5.com cj5, Yun ji suan ji shu shi jian xi lie cong shu, Di 1 ban, Beijing :, 2019

Learn to implement DevOps using Docker & Kubernetes.About This BookLearning DevOps, container, and Kubernetes within one book.Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently.A practical guide towards container management and orchestrationWho This Book Is ForThis book is targeted for anyone, who wants to learn containerization and clustering in a practical way using Kubernetes. No prerequisite skills required, however, essential DevOps skill and public/private Cloud knowledge will accelerate the reading speed. If you're advanced readers, you can also get a deeper understanding of all the tools and technique described in the book.What You Will LearnLearn fundamental and advanced DevOps skills and toolsGet a comprehensive understanding for containerLearn how to move your application to container worldLearn how to manipulate your application by KubernetesLearn how to work with Kubernetes in popular public cloudImprove time to market with Kubernetes and Continuous DeliveryLearn how to monitor, log, and troubleshoot your application with KubernetesIn DetailContainerization is said to be the best way to implement DevOps. Google developed Kubernetes, which orchestrates containers efficiently and is considered the frontrunner in container orchestration. Kubernetes is an orchestrator that creates and manages your containers on clusters of servers. This book will guide you from simply deploying a container to administrate a Kubernetes cluster, and then you will learn how to do monitoring, logging, and continuous deployment in DevOps. The initial stages of the book will introduce the fundamental DevOps and the concept of containers. It will move on to how to containerize applications and deploy them into. The book will then introduce networks in Kubernetes. We then move on to advanced DevOps skills such as monitoring, logging, and continuous deployment in Kubernetes. It will proceed to introduce permission control for Kubernetes resources via attribute-based access control and role-based access control. The final stage of the book will cover deploying and managing your container clusters on the popular public cloud Amazon Web Services and Google Cloud Platform. At the end of the book, other orchestration frameworks, such as Docker Swarm mode, Amazon ECS, and Apache Mesos will be discussed.Style and approachReaders will be taken through fundamental DevOps skills and Kubernetes concept and administration with detailed examples. It introduces comprehensive DevOps topics, including microservices, automation tools, containers, monitoring, logging, continuous delivery, and popular public cloud environments. At each step readers will learn how to leverage Kubernetes in their everyday lives and transform their original delivery pipeline for fast and efficient delivery.

中文 [zh] · 英语 [en] · MOBI · 23.5MB · 2019 · 📘 非小说类图书 · 🚀/duxiu/lgli/zlib · Save

upload/duxiu_main2/【星空藏书馆】/【星空藏书馆】等多个文件/图书馆12号/1.businessVIP全集等多个文件/00000000000000000----1839.05g/机械工业的书/extracted__AC18-人工智能.rar/AC18-人工智能/Python_深度学习实战：75个有关神经网络建模、强化学习与迁移学习的解决方案.pdf

Python 深度学习实战 : 75 个有关神经网络建模、强化学习与迁移学习的解决方案英德拉·丹·巴克,Indra den Bakker,程国建,周冠武北京：机械工业出版社, Di 1 ban, Beijing, 2018

Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this practical guide About This Book Practical recipes on training different neural network models and tuning them for optimal performance Use Python frameworks like TensorFlow, Caffe, Keras, Theano for Natural Language Processing, Computer Vision, and more A hands-on guide covering the common as well as the not so common problems in deep learning using Python Who This Book Is For This book is intended for machine learning professionals who are looking to use deep learning algorithms to create real-world applications using Python. Thorough understanding of the machine learning concepts and Python libraries such as NumPy, SciPy and scikit-learn is expected. Additionally, basic knowledge in linear algebra and calculus is desired. What You Will Learn Implement different neural network models in Python Select the best Python framework for deep learning such as PyTorch, Tensorflow, MXNet and Keras Apply tips and tricks related to neural networks internals, to boost learning performances Consolidate machine learning principles and apply them in the deep learning field Reuse and adapt Python code snippets to everyday problems Evaluate the cost/benefits and performance implication of each discussed solution In Detail Deep Learning is revolutionizing a wide range of industries. For many applications, deep learning has proven to outperform humans by making faster and more accurate predictions. This book provides a top-down and bottom-up approach to demonstrate deep learning solutions to real-world problems in different areas. These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics. The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras and CNTK is provided. The book includes recipes that are related to the basic concepts of neural networks. All techniques s, as well as classical networks topologies. The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not-so-common scenarios. Style and approach Unique blend of independent recipes arranged in the most logical manner Downloading the example code for ..

中文 [zh] · PDF · 45.4MB · 2018 · 📘 非小说类图书 · 🚀/duxiu/lgli/lgrs/nexusstc/upload/zlib · Save

lgli/null - Building Your First Mobile Game Using XNA 4.0.pdf

Building Your First Mobile Game Using XNA 4. 0 Brecht Kets, Thomas Goussaert Packt Publishing, Limited, Birmingham, England, 2013

Create action-packed 3D games with the Microsoft XNA Framework with this book and ebook.Key FeaturesLearn the structure of a 3D world and how to implement a variety of 3D techniques including terrain generation and 3D model rendering.Build three different types of 3D games step-by-step, including a first-person maze game, a battlefield tank game, and a 3D sidescrolling action game on the surface of Mars.Learn to utilize High Level Shader Language (HLSL) to add lighting and multi-texturing effects to your 3D scenes.Book DescriptionMove beyond the world of flat 2D-based game development and discover how to create your own exciting 3D games with Microsoft XNA 4.0. Create a 3D maze, fire shells at enemy tanks, and drive a rover on the surface of Mars while being attacked by alien saucers.'XNA 4 3D Game Development by Example: Beginner's Guide'takes you step-by-step through the creation of three different 3D video games with Microsoft XNA 4.0. Learn by doing as you explore the worlds of 3D graphics and game design.This book takes a step-by-step approach to building 3D games with Microsoft XNA, describing each section of code in depth and explaining the topics and concepts covered in detail. From the basics of a 3D camera system to an introduction to writing DirectX shader code, the games in this book cover a wide variety of both 3D graphics and game design topics. Generate random mazes, load and animate 3D models, create particle-based explosions, and combine 2D and 3D techniques to build a user interface.'XNA 4 3D Game Development by Example: Beginner's Guide'will give you the knowledge to bring your own 3D game creations to life.What you will learnThe core concepts of 3D graphics and how XNA describes the 3D worldBuild a 3D maze that the player can explore in search of the mysterious spinning cubeCreate 3D terrain based on a 2D height map image, adding texturing and lighting to the terrain s surfaceLoad, display and animate 3D modelsBuild a button-based user interface overlay for your 3D gameCreate a billboard particle system to produce dynamic explosionsBuild a skybox to give your worlds full 3D backgroundsDetect collisions between 3D objects and have your game react accordinglyWho this book is forThis book is intended for readers who want to create 3D games using the XNA Framework. Basic knowledge of the C# programming language and 2D XNA concepts are helpful, but not required.

英语 [en] · 中文 [zh] · PDF · 4.1MB · 2013 · 📘 非小说类图书 · 🚀/lgli/zlib · Save

lgli/null - Apache Solr 3 Enterprise Search Server.pdf

Apache Solr 3 Enterprise Search Server : Enhance Your Search with Faceted Navigation, Result Highlighting, Relevancy Ranked Sorting, and More David Smiley, Eric Pugh Packt Publishing, Limited, Packt Publishing, Birmingham, [U.K.], 2011

This is a practical hands-on book with clear instructions and lot of code examples. It takes a simple approach, guiding you through different architectural topics using realistic sample projects. A single project is implemented using different architectural styles to make the reader understand the details of each style. There are also many small independent code samples to explain design patterns, WCF, and localization. This book is for people familiar with the ASP.NET framework using either C# or VB.NET. You don't need to be an ASP.NET guru – the book is ideal for novice and intermediate developers. If reading about application architecture usually confuses you or sends you to sleep, then this book will be perfect for you! In short, any ASP.NET programmer who is confused or disoriented reading different books or materials on architectures wondering how and what to implement in their application, will definitely benefit from this book!

英语 [en] · 中文 [zh] · PDF · 8.9MB · 2011 · 📘 非小说类图书 · 🚀/lgli/zlib · Save

lgli/null - Apache Maven 2 Effective Implementation.pdf

Apache Maven 2 effective implementation build and manage applications with Maven, Continuum, and Archiva. - Description based on print version record. - Includes index Brett Porter, Maria Odea Ching Packt Publishing Ltd.; Packt Publishing, Libreka GmbH, Birmingham, U.K., 2009

In Detail A bad response time on a website can drive away visitors and prospective customers. To measure what a website can handle, there should be a way to simulate and analyze different load scenarios, this is where a load-testing tool like JMeter comes in. JMeter is a powerful desktop performance tool from the Apache Jakarta project, written in Java, for load-testing web pages, web applications, and other static and dynamic resources including databases, files, Servlets, Perl scripts, Java Objects, FTP Servers, and more. JMeter works by acting as the'client side'of an application, and measures response time. As such, it's one half of the testing arsenal; the other half consists of a tool to watch metrics on the server side, such as thread counts, CPU loads, resource usage, and memory usage. Although it can't behave like a browser to measure rich client-side logic such as JavaScripts or Applets, JMeter certainly measures the performance of the target server from the client's point of view. JMeter is able to capture test results that help you make informed decisions and benchmark your application. This book introduces you to JMeter (version 2.3) and test automation, providing a step-by-step guide to testing with JMeter. You will learn how to measure the performance of a website using JMeter. While it discusses test automation generally, the bulk of this book gives specific, vivid, and easy-to-understand walkthroughs of JMeter's testing tools showing what they can do, and when and how to use them. Learn to load-test your website, test its functional behaviour, and measure its performance by implementing the features of JMeter. Approach This book is focussed on learning and understanding JMeter. It starts with a basic introduction and installation, followed by using JMeter to test web applications. It proceeds to show how to use JMeter to perform load testing and also to test the functional behavior of the target web application. The discussion continues to include testing servers other than web application servers, and demonstrates the use of some of JMeter's built-in functions. This book aims to give readers an introductory view of JMeter, and gives a brief and realistic overview to those researching for an ideal testing tool to use in testing projects. The book is written in a straightforward, clear way, with plenty of step-by-step instructions and illustrative screenshots. Who this book is for The ideal readers or users of this book are experienced or novice testers who have been testing manually and now would like to automate their tests. Those testers who are already automating their testing using other tools or testing software may also want to use this book as they look for alternatives. This book would also be a good point for test Managers/Leaders to start doing research on the test automation tool that may best suit their testing needs and of course, their budget JMeter's target audience is the testing community, which is generally not the hangout of developers or technical people. Almost anything one would like to do in HTTP testing will be supported by JMeter without requiring any programming. The user need not have much technical knowledge to work with JMeter. It has a simple-to-use and intuitive drag-and-drop style GUI that helps any non-technical user to get started.

英语 [en] · 中文 [zh] · PDF · 9.1MB · 2009 · 📘 非小说类图书 · 🚀/lgli/zlib · Save

nexusstc/Kubernetes Windows 实用指南（机翻）/73a71aa340520bf36cf15ca4afbe3f4e.epub

Kubernetes Windows 实用指南(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

With the adoption of Windows containers in Kubernetes, you can now fully leverage the flexibility and robustness of the Kubernetes container orchestration system in the Windows ecosystem. This support will enable you to create new Windows applications and migrate existing ones to the cloud-native stack with the same ease as for Linux-oriented cloud applications. This practical guide takes you through the key concepts involved in packaging Windows-distributed applications into containers and orchestrating these using Kubernetes. You'll also understand the current limitations of Windows support in Kubernetes. As you advance, you'll gain hands-on experience deploying a fully functional hybrid Linux/Windows Kubernetes cluster for development, and explore production scenarios in on-premises and cloud environments, such as Microsoft Azure Kubernetes Service. By the end of this book, you'll be well-versed with containerization, microservices architecture, and the critical considerations for running Kubernetes in production environments successfully.

英语 [en] · 中文 [zh] · EPUB · 4.6MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc · Save

lgli/Vardan Grigoryan / Shunguang Wu - Expert C++.pdf

Expert C++ : become a profiecient programmer by learning coding best practices with C++17 and C++20's latest features VARDAN. WU GRIGORYAN (SHUNGUANG.); Shunguang Wu Packt Publishing, Limited, Packt Publishing, Birmingham, UK, 2020

C++经过多年的发展,目前的最新标准为C++20。自C++11以来,C++语言不断的增强特性集。在新标准中,您将了解到一系列新特性,如概念、模块、范围和协程。这本书将作为学习错综复杂的语言、技术、C++工具和C++ 20新特性的指南,同时也会帮助你了解,在构建软件时如何应用他们。本书将从C++的最新特性开始,然后转向高级技术,如多线程、并发性、调试、监视和高性能编程。本书将深入探讨面向对象的编程原理和C++标准模板库,并展示如何创建自定义模板。之后,将学习不同的方法,比如测试驱动开发(TDD)、行为驱动开发(BDD)和领域驱动设计(DDD),然后看看构建专业级应用程序所必需的编码最佳实践和设计模式。本书的最后,有关于人工智能和机器学习的C++最新进展的内容。这本书的末尾,还有实际应用程序开发方面的专业知识,包括设计复杂软件的过程。

英语 [en] · 中文 [zh] · PDF · 23.9MB · 2020 · 📘 非小说类图书 · 🚀/lgli/zlib · Save

nexusstc/Linux 快速学习手册（机翻）/4ba6778488f173dc33becdff92961ccb.epub

Linux 快速学习手册(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra, 2020

REF ORG BOOK: ISBN 13: 9781800566002

中文 [zh] · EPUB · 2.3MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/JIRA 测试管理实用手册（机翻）/e2b4aea7f29d18c2875e53b7cb908bcb.epub

JIRA 测试管理实用手册(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Learn best practices for testing with Jira and model industry workflows that can be used during the software development lifecycle Key Features Integrate Jira with test management tools such as Zephyr, Test Management, and SynapseRT Understand test case management, traceability, and test execution with reports Implement continuous integration using Jira, Jenkins, and automated testing tools Book Description Hands-On Test Management with Jira begins by introducing you to the basic concepts of Jira and takes you through real-world software testing processes followed by various organizations. As you progress through the chapters, the book explores and compares the three most popular Jira plugins-Zephyr, Test Management, and synapseRT. With this book, you'll gain a practical understanding of test management processes using Jira. You'll learn how to create and manage projects, create Jira tickets to manage customer requirements, and track Jira tickets. You'll also understand how to develop test plans, test cases, and test suites, and create defects and requirement traceability matrices, as well as generating reports in Jira. Toward the end, you'll understand how Jira can help the SQA teams to use the DevOps pipeline for automating execution and managing test cases. You'll get to grips with configuring Jira with Jenkins to execute automated test cases in Selenium. By the end of this book, you'll have gained a clear understanding of how to model and implement test management processes using Jira. What you will learn Understand QMS to effectively implement quality systems in your organization Explore a business-driven structured approach to Test Management using TMap NEXT Implement different aspects of test planning, test strategy, and test execution Organize and manage Agile projects in Scrum and Kanban Uncover Jira plugins available in the Atlassian Marketplace for testing and project management Configure a DevOps pipeline for continuous integration using Jira with Jenkins Who this book is for If you're a quality assurance professional, software project manager, or test manager interested in learning test management best practices in your team or organization, this book is for you. Prior knowledge of test management and Jenkins will be beneficial in understanding the concepts covered in this book. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www ..

英语 [en] · 中文 [zh] · EPUB · 2.6MB · 2019 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc · Save

nexusstc/Kubernetes 安全学习手册（机翻）/f651d8e8d4f978dc3f0094257f3f9e5b.epub

Kubernetes 安全学习手册(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Secure your container environment against cyberattacks and deliver robust deployments with this practical guide Key Features Explore a variety of Kubernetes components that help you to prevent cyberattacks Perform effective resource management and monitoring with Prometheus and built-in Kubernetes tools Learn techniques to prevent attackers from compromising applications and accessing resources for crypto-coin mining Book Description Kubernetes is an open source orchestration platform for managing containerized applications. Despite widespread adoption of the technology, DevOps engineers might be unaware of the pitfalls of containerized environments. With this comprehensive book, you'll learn how to use the different security integrations available on the Kubernetes platform to safeguard your deployments in a variety of scenarios. Learn Kubernetes Security starts by taking you through the Kubernetes architecture and the networking model. You'll then learn about the Kubernetes threat model and get to grips with securing clusters. Throughout the book, you'll cover various security aspects such as authentication, authorization, image scanning, and resource monitoring. As you advance, you'll learn about securing cluster components (the kube-apiserver, CoreDNS, and kubelet) and pods (hardening image, security context, and PodSecurityPolicy). With the help of hands-on examples, you'll also learn how to use open source tools such as Anchore, Prometheus, OPA, and Falco to protect your deployments. By the end of this Kubernetes book, you'll have gained a solid understanding of container security and be able to protect your clusters from cyberattacks and mitigate cybersecurity threats. What you will learn Understand the basics of Kubernetes architecture and networking Gain insights into different security integrations provided by the Kubernetes platform Delve into Kubernetes' threat modeling and security domains Explore different security configurations from a variety of practical examples Get to grips with using and deploying open source tools to protect your deployments Discover techniques to mitigate or prevent known Kubernetes hacks Who this book is for This book is for security consultants, cloud administrators, system administrators, and DevOps engineers interested in securing their container deployments. If you're looking to secure your Kubernetes clusters and cloud-based deployments, you'll find this book useful. A basic understanding of cloud c..

英语 [en] · 中文 [zh] · EPUB · 2.3MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/Linux 系统编程技巧（机翻）/5eb8f7dca1de4cd6426a4e64a39e5947.epub

Linux 系统编程技巧(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Find solutions to all your problems related to Linux system programming using practical recipes for developing your own system programs Key Features Develop a deeper understanding of how Linux system programming works Gain hands-on experience of working with different Linux projects with the help of practical examples Learn how to develop your own programs for Linux Book Description Linux is the world's most popular open source operating system (OS). Linux System Programming Techniques will enable you to extend the Linux OS with your own system programs and communicate with other programs on the system. The book begins by exploring the Linux filesystem, its basic commands, built-in manual pages, the GNU compiler collection (GCC), and Linux system calls. You'll then discover how to handle errors in your programs and will learn to catch errors and print relevant information about them. The book takes you through multiple recipes on how to read and write files on the system, using both streams and file descriptors. As you advance, you'll delve into forking, creating zombie processes, and daemons, along with recipes on how to handle daemons using systemd. After this, you'll find out how to create shared libraries and start exploring different types of interprocess communication (IPC). In the later chapters, recipes on how to write programs using POSIX threads and how to debug your programs using the GNU debugger (GDB) and Valgrind will also be covered. By the end of this Linux book, you will be able to develop your own system programs for Linux, including daemons, tools, clients, and filters. What you will learn Discover how to write programs for the Linux system using a wide variety of system calls Delve into the working of POSIX functions Understand and use key concepts such as signals, pipes, IPC, and process management Find out how to integrate programs with a Linux system Explore advanced topics such as filesystem operations, creating shared libraries, and debugging your programs Gain an overall understanding of how to debug your programs using Valgrind Who this book is for This book is for anyone who wants to develop system programs for Linux and gain a deeper understanding of the Linux system. The book is beneficial for anyone who is facing issues related to a particular part of Linux system programming and is looking for specific recipes or solutions

英语 [en] · 中文 [zh] · EPUB · 0.5MB · 2021 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/精通 Linux 安全和加固（机翻）/fde0bcfbcf6e5ddba375d33d97cc7804.epub

精通 Linux 安全和加固(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

原书:Mastering Linux Security and Hardening作者:Donald A. Tevault

英语 [en] · 中文 [zh] · EPUB · 3.0MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/Python 机器学习示例（机翻）/72f1f69914cdebfee57f7fffd05d239d.epub

Python 机器学习示例(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniquesKey FeaturesDive into machine learning algorithms to solve the complex challenges faced by data scientists todayExplore cutting edge content reflecting deep learning and reinforcement learning developmentsUse updated Python libraries such as TensorFlow, PyTorch, and scikit-learn to track machine learning projects end-to-endBook DescriptionPython Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML).With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements.At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries.Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP.By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems.What you will learnUnderstand the important concepts in ML and data scienceUse Python to explore the world of data mining and analyticsScale up model training using varied data complexities with Apache SparkDelve deep into text analysis and NLP using Python libraries such NLTK and GensimSelect and build an ML model and evaluate and optimize its performanceImplement ML algorithms from scratch in Python, TensorFlow 2, PyTorch, and scikit-learnWho this book is forIf you're a machine learning enthusiast, data analyst, or data engineer highly passionate about machine learning and want to begin working on machine learning assignments, this book is for you.Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial, although this is not necessary.

英语 [en] · 中文 [zh] · EPUB · 2.3MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc · Save

lgli/9787115565709_111285.pdf

Python预测分析实战 = Hands-on predictive analytics with Python (美)阿尔瓦罗·富恩特斯(Alvaro Fuentes)著人民邮电出版社, Di 1 ban, Beijing, 2022

Step-by-step Guide To Build High Performing Predictive Applications Key Features Use The Python Data Analytics Ecosystem To Implement End-to-end Predictive Analytics Projects Explore Advanced Predictive Modeling Algorithms With An Emphasis On Theory With Intuitive Explanations Learn To Deploy A Predictive Model's Results As An Interactive Application Book Description Predictive Analytics Is An Applied Field That Employs A Variety Of Quantitative Methods Using Data To Make Predictions. It Involves Much More Than Just Throwing Data Onto A Computer To Build A Model. This Book Provides Practical Coverage To Help You Understand The Most Important Concepts Of Predictive Analytics. Using Practical, Step-by-step Examples, We Build Predictive Analytics Solutions While Using Cutting-edge Python Tools And Packages. The Book's Step-by-step Approach Starts By Defining The Problem And Moves On To Identifying Relevant Data. We Will Also Be Performing Data Preparation, Exploring And Visualizing Relationships, Building Models, Tuning, Evaluating, And Deploying Model. Each Stage Has Relevant Practical Examples And Efficient Python Code. You Will Work With Models Such As Knn, Random Forests, And Neural Networks Using The Most Important Libraries In Python's Data Science Stack: Numpy, Pandas, Matplotlib, Seaborn, Keras, Dash, And So On. In Addition To Hands-on Code Examples, You Will Find Intuitive Explanations Of The Inner Workings Of The Main Techniques And Algorithms Used In Predictive Analytics. By The End Of This Book, You Will Be All Set To Build High-performance Predictive Analytics Solutions Using Python Programming. What You Will Learn Get To Grips With The Main Concepts And Principles Of Predictive Analytics Learn About The Stages Involved In Producing Complete Predictive Analytics Solutions Understand How To Define A Problem, Propose A Solution, And Prepare A Dataset Use Visualizations To Explore Relationships And Gain Insights Into The Dataset Learn To Build Regression And Classification Models Using Scikit-learn Use Keras To Build Powerful Neural Network Models That Produce Accurate Predictions Learn To Serve A Model's Predictions As A Web Application Who This Book Is For This Book Is For Data Analysts, Data Scientists, Data Engineers, And Python Developers Who Want To Learn About Predictive Modeling And Would Like To Implement Predictive Analytics Solutions Using Python's Data Stack. People From Other Backgrounds Who Would Like To Enter This Exciting Field Will Greatly Benefit From Reading This Book. All You Need Is To Be Proficient In Python Programming And Have A Basic Understanding Of Statistics And College-level Algebra.

英语 [en] · 中文 [zh] · PDF · 12.8MB · 2022 · 📘 非小说类图书 · 🚀/lgli/lgrs · Save

nexusstc/Kubernetes 微服务实用指南（机翻）/97230af7559a7dd69c7ca80259b6d46b.epub

Kubernetes 微服务实用指南(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Enhance Your Skills In Building Scalable Infrastructure For Your Cloud-based Applications Key Features Learn To Design A Scalable Architecture By Building Continuous Integration (ci) Pipelines With Kubernetes Get An In-depth Understanding Of Role-based Access Control (rbac), Continuous Deployment (cd), And Observability Monitor A Kubernetes Cluster With Prometheus And Grafana Book Description Kubernetes Is Among The Most Popular Open-source Platforms For Automating The Deployment, Scaling, And Operations Of Application Containers Across Clusters Of Hosts, Providing A Container-centric Infrastructure. Hands-on Microservices With Kubernetes Starts By Providing You With In-depth Insights Into The Synergy Between Kubernetes And Microservices. You Will Learn How To Use Delinkcious, Which Will Serve As A Live Lab Throughout The Book To Help You Understand Microservices And Kubernetes Concepts In The Context Of A Real-world Application. Next, You Will Get Up To Speed With Setting Up A Ci/cd Pipeline And Configuring Microservices Using Kubernetes Configmaps. As You Cover Later Chapters, You Will Gain Hands-on Experience In Securing Microservices, And Implementing Rest, Grpc Apis, And A Delinkcious Data Store. In Addition To This, You'll Explore The Nuclio Project, Run A Serverless Task On Kubernetes, And Manage And Implement Data-intensive Tests. Toward The Concluding Chapters, You'll Deploy Microservices On Kubernetes And Learn To Maintain A Well-monitored System. Finally, You'll Discover The Importance Of Service Meshes And How To Incorporate Istio Into The Delinkcious Cluster. By The End Of This Book, You'll Have Gained The Skills You Need To Implement Microservices On Kubernetes With The Help Of Effective Tools And Best Practices. What You Will Learn Understand The Synergy Between Kubernetes And Microservices Create A Complete Ci/cd Pipeline For Your Microservices On Kubernetes Develop Microservices On Kubernetes With The Go Kit Framework Using Best Practices Manage And Monitor Your System Using Kubernetes And Open-source Tools Expose Your Services Through Rest And Grpc Apis Implement And Deploy Serverless Functions As A Service Externalize Authentication, Authorization And Traffic Shaping Using A Service Mesh Run A Kubernetes Cluster In The Cloud On Google Kubernetes Engine Who This Book Is For This Book Is For Developers, Devops Engineers, Or Anyone Who Wants To Develop Large-scale Microservice-based Systems On Top Of Kubernetes. If You Are Looking To Use Kubernetes On Live Production Projects Or Want To Migrate Existing Systems To A Modern Containerized Microservices System, Then This Book Is For You. Coding Skills, Together With Some Knowledge Of Docker, Kubernetes, And Cloud Concepts Will Be Useful.

英语 [en] · 中文 [zh] · EPUB · 2.1MB · 2019 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc · Save

zlib/Computers/Computer Graphics & Design/Aaron Dietzen/使用 SketchUp 进行 3D 打印_119915160.epub

使用 SketchUp 进行 3D 打印 Aaron Dietzen Aka 'the Sketchup Guy' Packt Publishing Pvt Ltd, Packt Publishing, [S.l.], 2023

使用SketchUp生成可打印的模型,将您的项目从概念转化为现实

英语 [en] · 中文 [zh] · EPUB · 12.6MB · 2023 · 📘 非小说类图书 · 🚀/zlib · Save

nexusstc/精通 Python 金融编程（机翻）/ef7401d6c4e1af27c978ea09ace5d768.epub

精通 Python 金融编程 (Mastering Python for Finance) it-ebooks iBooker it-ebooks, it-ebooks-extra

Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applicationsKey FeaturesExplore advanced financial models used by the industry and ways of solving them using PythonBuild state-of-the-art infrastructure for modeling, visualization, trading, and moreEmpower your financial applications by applying machine learning and deep learningBook DescriptionThe second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples.You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and sklearn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance.By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.What you will learnSolve linear and nonlinear models representing various financial problemsPerform principal component analysis on the DOW index and its componentsAnalyze, predict, and forecast stationary and non-stationary time series processesCreate an event-driven backtesting tool and measure your strategiesBuild a high-frequency algorithmic trading platform with PythonReplicate the CBOT VIX index with SPX options for studying VIX-based strategiesPerform regression-based and classification-based machine learning tasks for predictionUse TensorFlow and Keras in deep learning neural network architectureWho this book is forIf you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.

英语 [en] · 中文 [zh] · EPUB · 4.2MB · 2019 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/Kubernetes 云原生指南（机翻）/e38760b31316c0fb47d1cf0ffd387b56.epub

Kubernetes 云原生指南(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Harness Kubernetes' extensibility to deploy modern patterns and learn to effectively handle production issues Key Features Build and run efficient cloud-native applications on Kubernetes using industry best practices Operate Kubernetes in a production environment, troubleshoot clusters, and address security concerns Deploy cutting-edge Kubernetes patterns such as service mesh and serverless to your cluster Book Description Kubernetes is a modern cloud native container orchestration tool and one of the most popular open source projects worldwide. In addition to the technology being powerful and highly flexible, Kubernetes engineers are in high demand across the industry. This book is a comprehensive guide to deploying, securing, and operating modern cloud native applications on Kubernetes. From the fundamentals to Kubernetes best practices, the book covers essential aspects of configuring applications. You'll even explore real-world techniques for running clusters in production, tips for setting up observability for cluster resources, and valuable troubleshooting techniques. Finally, you'll learn how to extend and customize Kubernetes, as well as gaining tips for deploying service meshes, serverless tooling, and more on your cluster. By the end of this Kubernetes book, you'll be equipped with the tools you need to confidently run and extend modern applications on Kubernetes. What you will learn Set up Kubernetes and configure its authentication Deploy your applications to Kubernetes Configure and provide storage to Kubernetes applications Expose Kubernetes applications outside the cluster Control where and how applications are run on Kubernetes Set up observability for Kubernetes Build a continuous integration and continuous deployment (CI/CD) pipeline for Kubernetes Extend Kubernetes with service meshes, serverless, and more Who this book is for This book is for developers, architects, DevOps engineers, or anyone interested in developing and managing cloud-native applications. Those already running cloud applications and looking for a better way to manage their platform or others interested in a career change given the recent popularity of Kubernetes will also find this book helpful. Some familiarity with cloud computing, containers and DevOps is required, but no prior knowledge of building production applications using Kubernetes is needed to get started with this book

英语 [en] · 中文 [zh] · EPUB · 1.3MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/Linux 内核编程第二部分（机翻）/b2d9418de5388a9e482f0f411237256d.epub

Linux 内核编程第二部分(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Discover How To Write High-quality Character Driver Code, Interface With Userspace, Work With Chip Memory, And Gain An In-depth Understanding Of Working With Hardware Interrupts And Kernel Synchronization Key Features: Delve Into Hardware Interrupt Handling, Threaded Irqs, Tasklets, Softirqs, And Understand Which To Use When Explore Powerful Techniques To Perform User-kernel Interfacing, Peripheral I/o And Use Kernel Mechanisms Work With Key Kernel Synchronization Primitives To Solve Kernel Concurrency Issues Book Description: Linux Kernel Programming Part 2 - Char Device Drivers And Kernel Synchronization Is An Ideal Companion Guide To The Linux Kernel Programming Book. This Book Provides A Comprehensive Introduction For Those New To Linux Device Driver Development And Will Have You Up And Running With Writing Misc Class Character Device Driver Code (on The 5.4 Lts Linux Kernel) In Next To No Time. You'll Begin By Learning How To Write A Simple And Complete Misc Class Character Driver Before Interfacing Your Driver With User-mode Processes Via Procfs, Sysfs, Debugfs, Netlink Sockets, And Ioctl. You'll Then Find Out How To Work With Hardware I/o Memory. The Book Covers Working With Hardware Interrupts In Depth And Helps You Understand Interrupt Request (irq) Allocation, Threaded Irq Handlers, Tasklets, And Softirqs. You'll Also Explore The Practical Usage Of Useful Kernel Mechanisms, Setting Up Delays, Timers, Kernel Threads, And Workqueues. Finally, You'll Discover How To Deal With The Complexity Of Kernel Synchronization With Locking Technologies (mutexes, Spinlocks, And Atomic/refcount Operators), Including More Advanced Topics Such As Cache Effects, A Primer On Lock-free Techniques, Deadlock Avoidance (with Lockdep), And Kernel Lock Debugging Techniques. By The End Of This Linux Kernel Book, You'll Have Learned The Fundamentals Of Writing Linux Character Device Driver Code For Real-world Projects And Products. What You Will Learn: Get To Grips With The Basics Of The Modern Linux Device Model (ldm) Write A Simple Yet Complete Misc Class Character Device Driver Perform User-kernel Interfacing Using Popular Methods Understand And Handle Hardware Interrupts Confidently Perform I/o On Peripheral Hardware Chip Memory Explore Kernel Apis To Work With Delays, Timers, Kthreads, And Workqueues Understand Kernel Concurrency Issues Work With Key Kernel Synchronization Primitives And Discover How To Detect And Avoid Deadlock Who This Book Is For: An Understanding Of The Topics Covered In The Linux Kernel Programming Book Is Highly Recommended To Make The Most Of This Book. This Book Is For Linux Programmers Beginning To Find Their Way With Device Driver Development. Linux Device Driver Developers Looking To Overcome Frequent And Common Kernel/driver Development Issues, As Well As Perform Common Driver Tasks Such As User-kernel Interfaces, Performing Peripheral I/o, Handling Hardware Interrupts, And Dealing With Concurrency Will Benefit From This Book. A Basic Understanding Of Linux Kernel Internals (and Common Apis), Kernel Module Development, And C Programming Is Required.

中文 [zh] · EPUB · 1.7MB · 2021 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

zlib/no-category/Jason McFeetors, Tanay Pant/使用 n8n 进行快速产品开发_117230832.pdf

使用 n8n 进行快速产品开发 Jason McFeetors; Tanay Pant Packt Publishing, Limited, Packt Publishing, Birmingham, 2022

(可能是机器翻译)探索 n8n 如何使你能够连接不同的系统和云服务,而无需聘请专家或跨多个技术栈开发技术技能集。本书将向你展示 n8n 如何减少开发新产品所需的时间,帮助你快速将其推向市场,而不是组建一个完整的开发团队。本官方 n8n 指南将帮助您以最佳方式采用和集成 n8n 到您的开发工作流程中。您将首先了解 n8n 在业务技术栈中的位置,以及它如何提供降低成本、提高效率和收入的机会。一旦您确定了可以在工作环境中利用 n8n 的连接性和自动化功能的机会,您将继续构建一个基于 n8n 的工具集,以提高您的运营盈利能力。在这本产品开发书的结尾,你将能够识别真实世界中创造收入、提高效率的机会,然后构建工具来利用这些机会。

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lgli/陈晓伟（译） - CMake菜谱（CMake Cookbook中文版） (书栈(BookStack.CN)).pdf

CMake菜谱(CMake Cookbook中文版) 陈晓伟(译) 书栈(BookStack.CN), Packt Publishing, Birmingham, 2018

使用CMake软件对项目模块,进行构建、测试和打包。

英语 [en] · 中文 [zh] · PDF · 10.2MB · 2018 · 📘 非小说类图书 · 🚀/lgli/zlib · Save

lgli/艾博拉·艾哈迈德（Ibrar Ahmed） & 格利高里·史密斯（Gregory Smith） & chenjin5.com - PostgreSQL 9X之巅（原书第2版） (数据库技术丛书) (2018, cj5_9677).mobi

PostgreSQL 9X之巅(原书第2版) (数据库技术丛书) 艾博拉·艾哈迈德(Ibrar Ahmed) & 格利高里·史密斯(Gregory Smith) & chenjin5.com cj5_9677, Shu ju ku ji shu cong shu, Di 1 ban, Beijing, 2018

Ben shu jiang xiang du zhe zhan shi ru he shi yong PostgreSQL 9.6 lai pei zhi xin an zhuang de shu ju ku he you hua xian you de shu ju ku fu wu qi

中文 [zh] · 英语 [en] · MOBI · 28.2MB · 2018 · 📘 非小说类图书 · 🚀/duxiu/lgli/zlib · Save

upload/duxiu_main/v/azw3/Selenium自动化测试：基于 Python 语言（异步图书）.azw3

Selenium自动化测试——基于 Python 语言(异步图书) 冈迪察·U(Unmesh Gundecha) 北京：人民邮电出版社, 2017

Selenium是一个主要用于Web应用程序自动化测试的工具集合,在行业内已经得到广泛的应用。本书介绍了如何用Python语言调用Selenium WebDriver接口进行自动化测试。主要内容为:基于Python 的 Selenium WebDriver 入门知识、第一个Selenium Python脚本、使用unittest 编写单元测试、生成HTML格式的测试报告、元素定位、Selenium Python API 介绍、元素等待机制、跨浏览器测试、移动端测试、编写一个iOS测试脚本、编写一个Android测试脚本、Page Object与数据驱动测试、Selenium WebDriver的高级特性、第三方工具与框架集成等核心技术。本书适合任何软件测试人员阅读,也适合作为大专院校师生的学习用书和培训学校的教材。

中文 [zh] · 英语 [en] · AZW3 · 3.7MB · 2017 · 📘 非小说类图书 · 🚀/duxiu/lgli/upload/zlib · Save

upload/duxiu_main/v/epub/Selenium自动化测试：基于 Python 语言（异步图书）.epub

Selenium自动化测试——基于 Python 语言冈迪察·U(Unmesh Gundecha) 北京：人民邮电出版社, 2017

Selenium是一个主要用于Web应用程序自动化测试的工具集合,在行业内已经得到广泛的应用。本书介绍了如何用Python语言调用Selenium WebDriver接口进行自动化测试。主要内容为:基于Python 的 Selenium WebDriver 入门知识、第一个Selenium Python脚本、使用unittest 编写单元测试、生成HTML格式的测试报告、元素定位、Selenium Python API 介绍、元素等待机制、跨浏览器测试、移动端测试、编写一个iOS测试脚本、编写一个Android测试脚本、Page Object与数据驱动测试、Selenium WebDriver的高级特性、第三方工具与框架集成等核心技术。本书适合任何软件测试人员阅读,也适合作为大专院校师生的学习用书和培训学校的教材。

中文 [zh] · 英语 [en] · EPUB · 2.9MB · 2017 · 📘 非小说类图书 · 🚀/duxiu/lgli/upload/zlib · Save

lgli/艾博拉·艾哈迈德（Ibrar Ahmed） & 格利高里·史密斯（Gregory Smith） - PostgreSQL 9X之巅（原书第2版） (数据库技术丛书).pdf

PostgreSQL 9X之巅(原书第2版) (数据库技术丛书) 艾博拉·艾哈迈德(Ibrar Ahmed) & 格利高里·史密斯(Gregory Smith) 北京:机械工业出版社, Shu ju ku ji shu cong shu, Di 1 ban, Beijing, 2018

Ben shu jiang xiang du zhe zhan shi ru he shi yong PostgreSQL 9.6 lai pei zhi xin an zhuang de shu ju ku he you hua xian you de shu ju ku fu wu qi

中文 [zh] · 英语 [en] · PDF · 6.7MB · 2018 · 📘 非小说类图书 · 🚀/duxiu/lgli/zlib · Save

upload/duxiu_main/v/mobi/Selenium自动化测试：基于 Python 语言（异步图书）.mobi

Selenium自动化测试——基于 Python 语言冈迪察·U(Unmesh Gundecha) 北京：人民邮电出版社, 2017

Selenium是一个主要用于Web应用程序自动化测试的工具集合,在行业内已经得到广泛的应用。本书介绍了如何用Python语言调用Selenium WebDriver接口进行自动化测试。主要内容为:基于Python 的 Selenium WebDriver 入门知识、第一个Selenium Python脚本、使用unittest 编写单元测试、生成HTML格式的测试报告、元素定位、Selenium Python API 介绍、元素等待机制、跨浏览器测试、移动端测试、编写一个iOS测试脚本、编写一个Android测试脚本、Page Object与数据驱动测试、Selenium WebDriver的高级特性、第三方工具与框架集成等核心技术。本书适合任何软件测试人员阅读,也适合作为大专院校师生的学习用书和培训学校的教材。

中文 [zh] · 英语 [en] · MOBI · 3.9MB · 2017 · 📘 非小说类图书 · 🚀/duxiu/lgli/upload/zlib · Save

lgli/林军 [林军] - 柳传志管理日志 (2013, 中信出版社).epub

柳传志管理日志林军 [林军] 北京：中信出版社, 2013

柳传志的管理思想最值得借鉴和学习的是,他每每能领先时代一步,不断有效升级。学习柳传志用于推动企业前进的理论和方法,成为中国乃至全球管理者的切实需要。本书第一次“管理日志”的形式,将柳传志的管理思想按阶段分为12个主题,从多个角度对柳传志的成功管理之道做了准确的归纳和睿智而又精辟的论断。

中文 [zh] · 英语 [en] · EPUB · 0.6MB · 2013 · 📘 非小说类图书 · 🚀/duxiu/lgli/zlib · Save

lgli/艾博拉·艾哈迈德（Ibrar Ahmed） & 格利高里·史密斯（Gregory Smith） & chenjin5.com - PostgreSQL 9X之巅（原书第2版） (数据库技术丛书) (2018, cj5_8248).mobi

PostgreSQL 9X之巅(原书第2版) (数据库技术丛书) 艾博拉·艾哈迈德(Ibrar Ahmed) & 格利高里·史密斯(Gregory Smith) & chenjin5.com cj5_8248, Shu ju ku ji shu cong shu, Di 1 ban, Beijing, 2018

Ben shu jiang xiang du zhe zhan shi ru he shi yong PostgreSQL 9.6 lai pei zhi xin an zhuang de shu ju ku he you hua xian you de shu ju ku fu wu qi

中文 [zh] · 英语 [en] · MOBI · 28.2MB · 2018 · 📘 非小说类图书 · 🚀/duxiu/lgli/zlib · Save

nexusstc/PHP8 编程提示、技巧和最佳实践（机翻）/a0df7ca5393660e4e7f41326e5bb8757.epub

PHP8 编程提示、技巧和最佳实践(机翻) it-ebooks iBooker it-ebooks, it-ebooks-extra

Become proficient in designing, developing and deploying effective software systems using the advanced constructs of Rust Key FeaturesImprove your productivity using the latest version of Rust and write simpler and easier codeUnderstand Rust's immutability and ownership principle, expressive type system, safe concurrencyDeep dive into the new doamins of Rust like WebAssembly, Networking and Command line toolsBook DescriptionRust is an empowering language that provides a rare combination of safety, speed, and zero-cost abstractions. Mastering Rust – Second Edition is filled with clear and simple explanations of the language features along with real-world examples, showing you how you can build robust, scalable, and reliable programs. This second edition of the book improves upon the previous one and touches on all aspects that make Rust a great language. We have included the features from latest Rust 2018 edition such as the new module system, the smarter compiler, helpful error messages, and the stable procedural macros. You'll learn how Rust can be used for systems programming, network programming, and even on the web. You'll also learn techniques such as writing memory-safe code, building idiomatic Rust libraries, writing efficient asynchronous networking code, and advanced macros. The book contains a mix of theory and hands-on tasks so you acquire the skills as well as the knowledge, and it also provides exercises to hammer the concepts in. After reading this book, you will be able to implement Rust for your enterprise projects, write better tests and documentation, design for performance, and write idiomatic Rust code.What you will learnWrite generic and type-safe code by using Rust's powerful type system How memory safety works without garbage collection Know the different strategies in error handling and when to use themLearn how to use concurrency primitives such as threads and channels Use advanced macros to reduce boilerplate code Create efficient web applications with the Actix-web frameworkUse Diesel for type-safe database interactions in your web applicationWho this book is forThe book is aimed at beginner and intermediate programmers who already have familiarity with any imperative language and have only heard of Rust as a new language. If you are a developer who wants to write robust, efficient and maintainable software systems and want to become proficient with Rust, this book is for you. It starts by giving a whirlwind tour of the important concepts of Rust and covers advanced features of the language in subsequent chapters using code examples that readers will find useful to advance their knowledge.

英语 [en] · 中文 [zh] · EPUB · 1.6MB · 2019 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

lgli/Dusty Phillips - Python 3 面向对象编程（第2版） (2018, 电子工业出版社).pdf

Python 3 面向对象编程(第2版) Dusty Phillips 电子工业出版社 Dian zi gong ye chu ban she, 2, 2015-08-20

《Python 3 面向对象编程(第2版)》主要介绍如何使用Python 3进行面向对象编程。第1~4章介绍面向对象这一编程范式的基本准则,以及Python是如何运用这些准则实现面向对象编程的;第5~8章介绍如何利用Python中的内置函数快速、简单地实现面向对象编程;第9~11章介绍许多面向对象编程中常用的设计模式,以及如何使用符合Python语言习惯的方式来实现这些设计模式;最后,第12、13章介绍Python 3中与并发编程相关的主题。《Python 3 面向对象编程(第2版)》中的每一章都会包含一节案例学习的内容,通过一个实践相关的案例将本章介绍的主要内容以及前面章节中介绍过的内容串联起来。除此之外,每一章最后的练习旨在指导你利用本章学习到的知识,使用面向对象编程改善以往项目中的代码,并进一步掌握如何在合适的时机使用Python 3进行面向对象编程。

中文 [zh] · 英语 [en] · PDF · 3.7MB · 2015 · 📘 非小说类图书 · 🚀/lgli/lgrs/zlib · Save