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Mastering.Apache.Spark.2.x
The book opens with an overview of the Spark ecosystem. The book will introduce you to Project Catalyst and Tungsten. You will understand how Memory Management and Binary Processing, Cache-aware Computation, and Code Generation are used to speed things up dramatically. The book goes on to show how to incorporate H20 and Deeplearning4j for machine learning and Juypter Notebooks, Zeppelin, Docker and Kubernetes for cloud-based Spark. During the course of the book, you will also learn about the latest enhancements in Apache Spark 2.2, such as using the DataFrame and Dataset APIs exclusively, building advanced, fully automated Machine Learning pipelines with SparkML and perform graph analysis using the new GraphFrames API.
Mastering Apache Spark(掌握Apache Spark)英文版.pdf
Mastering Apache Spark(掌握Apache Spark)英文版.pdf
Mastering Apache Spark 2.x Second Edition
Mastering Apache Spark <em>2.x</em> Second Edition pdf 格式
Mastering OpenCV 3 - Second Edition.pdf
Preface Mastering OpenCV3, Second Edition contains seven chapters, where each chapter is a tutorial for an entire project from start to finish, based on OpenCV's C++ interface, including the full source code. The author of each chapter was chosen for their well-regarded online contributions to the OpenCV community on that topic, and the book was reviewed by one of the main OpenCV developers. Rather than explaining the basics of OpenCV functions, this book shows how to apply OpenCV to solve whole problems, including several 3D camera projects (augmented reality, and 3D structure from Motion) and several facial analysis projects (such as skin detection, simple face and eye detection, complex facial feature tracking, 3D head orientation estimation, and face recognition), therefore it makes a great companion to the existing OpenCV books.
Mastering ROS for Robotics Programming 原版PDF by Joseph
Mastering ROS for Robotics Programming is an advanced guide of ROS that is very suitable for readers who already have a basic knowledge in ROS. ROS is widely used in robotics companies, universities, and robotics research institutes for designing, building, and simulating a robot model and interfacing it into real hardware. ROS is now an essential requirement for Robotic engineers; this guide can help you acquire knowledge of ROS and can also help you polish your skills in ROS using interactive examples. Even though it is an advanced guide, you can see the basics of ROS in the first chapter to refresh the concepts. It also helps ROS beginners. The book mainly focuses on the advanced concepts of ROS, such as ROS Navigation stack, ROS MoveIt!, ROS plugins, nodelets, controllers, ROS Industrial, and so on.
Mastering OpenStack - Second Edition
2017年5月的新书,pdf版。 Book Description In this <em>second</em> <em>edition</em>, you will get to grips with the latest features of OpenStack. Starting with an overview of the OpenStack architecture, you'll see how to adopt the DevOps style of automation while deploying and operating in an OpenStack environment. We'll show you how to create your own OpenStack private cloud. Then you'll learn about various hypervisors and container technology supported by OpenStack. You'll get an understanding about the segregation of compute nodes based on reliability and availability needs. We'll cover various storage types in OpenStack and advanced networking aspects such as SDN and NFV. Next, you'll understand the OpenStack infrastructure from a cloud user point of view. Moving on, you'll develop troubleshooting skills, and get a comprehensive understanding of services such as high availability and failover in OpenStack. Finally, you will gain experience of running a centralized logging server and monitoring OpenStack services. The book will show you how to carry out performance tuning based on OpenStack service logs. You will be able to master OpenStack benchmarking and performance tuning. By the end of the book, you'll be ready to take steps to deploy and manage an OpenStack cloud with the latest open source technologies.
Mastering Kubernetes 2nd edition.pdf
最新版的<em>mastering</em> kubernetes 2nd第二版,2018年4月出版,高清,附带书签。精通kubernetes必备书籍
Mastering Apache Spark 2.x - Second Edition
Mastering Apache Spark <em>2.x</em> - Second Edition by Romeo Kienzler English | 26 July 2017 | ISBN: 1786462745 | ASIN: B01MR4YF5G | 354 Pages | AZW3 | 13.74 MB Advanced analytics on your Big Data with latest Apache Spark <em>2.x</em> About This Book An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in Spark. Master the art of real-time processing with the help of Apache Spark <em>2.x</em> Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J Study highly optimised unified batch and real-time data processing using SparkSQL and Structured Streaming Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud Understand internal details of cost based optimizers used in Catalyst, SystemML and GraphFrames Learn how specific parameter settings affect overall performance of an Apache Spark cluster Leverage Scala, R and python for your data science projects In Detail Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark to the next level by teaching you how to expand Spark's functionality and implement your data flows and machine/deep learning programs on top of the platform. The book commences with an overview of the Spark ecosystem. It will introduce you to Project Tungsten and Catalyst, two of the major advancements of Apache Spark <em>2.x</em>. You will understand how memory management and binary processing, cache-aware computation, and code generation are used to speed things up dramatically. The book extends to show how to incorporate H20, SystemML, and Deeplearning4j for machine learning, and Jupyter Notebooks and Kubernetes/Docker for cloud-based Spark. During the course of the book, you will learn about the latest enhancements to Apache Spark <em>2.x</em>, such as interactive querying of live data and unifying DataFrames and Datasets. You will also learn about the updates on the APIs and how DataFrames and Datasets affect SQL, machine learning, graph processing, and streaming. You will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.
mastering apache spark 2.x second edition
<em>spark</em> 学习英文书籍,主要入门并掌握基本的知识。<em>spark</em>作为大数据工具,值得工程技术人员深入学习。
Mastering ROS for Robotics Programming - Second Edition
Mastering ROS for Robotics Programming - Second Edition,2018年出版!
Mastering Bootstrap 4 无水印原版pdf
Mastering Bootstrap 4 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
Mastering Machine Learning with scikit-learn [2017,第二版]
Mastering Machine Learning with scikit-learn - Second Edition by Gavin Hackeling English | 24 July 2017 | ASIN: B06ZYRPFMZ | ISBN: 1783988363 | 254 Pages | AZW3 | 5.17 MB Key Features Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networks Learn how to build and evaluate performance of efficient models using scikit-learn Practical guide to master your basics and learn from real life applications of machine learning Book Description Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model. This book examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks. It discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, recognize images, detect ads, and more. You will learn to use scikit-learn's API to extract features from categorical variables, text and images; evaluate model performance, and develop an intuition for how to improve your model's performance. By the end of this book, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach. What you will learn Review fundamental concepts such as bias and variance Extract features from categorical variables, text, and images Predict the values of continuous variables using linear regression and K Nearest Neighbors Classify documents and images using logistic regression and support vector machines Create ensembles of estimators using bagging and boosting techniques Discover hidden structures in data using K-Means clustering Evaluate the performance of machine learning systems in common tasks About the Author Gavin Hackeling is a data scientist and author. He was worked on a variety of machine learning problems, including automatic speech recognition, document classification, object recognition, and semantic segmentation. An alumnus of the University of North Carolina and New York University, he lives in Brooklyn with his wife and cat. Table of Contents The Fundamentals of Machine Learning Simple linear regression Classification and Regression with K Nearest Neighbors Feature Extraction and Preprocessing From Simple Regression to Multiple Regression From Linear Regression to Logistic Regression Naive Bayes Nonlinear Classification and Regression with Decision Trees From Decision Trees to Random Forests, and other Ensemble Methods The Perceptron From the Perceptron to Support Vector Machines From the Perceptron to Artificial Neural Networks Clustering with K-Means Dimensionality Reduction with Principal Component Analysis
Mastering+Bootstrap+4,+2nd+Edition-Packt+Publishing(2018).epub
Bootstrap is a free CSS and JavaScript framework that allows developers to rapidly build responsive web interfaces. The framework was first conceived by Mark Otto and Jacob Thornton while working at Twitter in 2010. Since its release as an open source project in August of 2011, Bootstrap has become a household name among frontend web developers. The framework’s ease-of-use along with its cross-browser compatibility, support for mobile user interfaces, and responsive web design capabilities, make it an essential building block for any modern web application. Totaling over 600 contributors, and more than 34,000 GitHub forks, Bootstrap has become the world’s most popular responsive web development framework. However, despite its popularity, there are relatively few advanced resources on the fourth, and latest, version of Bootstrap. As such, the motivation behind this book is to provide a comprehensive, step-by-step guide for developers that wish to build a complete, production-ready, website using Bootstrap 4. Once you turn the final pages of this book, you should be <em>mastering</em> the framework’s ins and outs, and building highly customizable and optimized web interfaces. You will know how to both extend the framework, integrate it with third-party components and frameworks, as well as optimize and automate your Bootstrapped builds.
Packt.Mastering.Flask.Web.Development.2nd.Edition
Packt.Mastering.Flask.Web.Development.2nd.Edition
Mastering QGIS(2nd) 无水印pdf
Mastering QGIS(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Mastering Unity 2017 Game Development with C#(2nd) 无水印pdf转化版
Mastering Unity 2017 Game Development with C#(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Mastering Qt 5, 2nd Edition
Mastering Qt 5: Create stunning cross-platform applications using C++ with Qt Widgets and QML with Qt Quick, 2nd Edition – August 27, 2018 An In-depth guide updated with the latest version of Qt 5.11 including new features such as Quick Controls and Qt Gamepad Key Features •Unleash the power of Qt 5.11 with C++ •Build applications using Qt Widgets (C++) or Qt Quick (QML) •Create cross-platform applications for mobile and desktop platforms with Qt 5 Book Description Qt 5.11 is an app development framework that provides a great user experience and develops full capability applications with Qt Widgets, QML, and even Qt 3D. Whether you're building GUI prototypes or fully-fledged cross-platform GUI applications with a native look and feel, Mastering Qt 5 is your fastest, easiest, and most powerful solution. This book addresses various challenges and teaches you to successfully develop cross-platform applications using the Qt framework, with the help of well-organized projects. Working through this book, you will gain a better understanding of the Qt framework, as well as the tools required to resolve serious issues, such as linking, debugging, and multithreading. You'll start off your journey by discovering the new Qt 5.11 features, soon followed by exploring different platforms and learning to tame them. In addition to this, you'll interact with a gamepad using Qt Gamepad. Each chapter is a logical step for you to complete in order to master Qt. By the end of this book, you'll have created an application that has been tested and is ready to be shipped. What you will learn •Create stunning UIs with Qt Widgets and Qt Quick 2 •Develop powerful, cross-platform applications with the Qt framework •Design GUIs with the Qt Designer and build a library in it for UI previews •Handle user interaction with the Qt signal or slot mechanism in C++ •Prepare a cross-platform project to host a third-party library •Use the Qt Animation framework to display stunning effects •Deploy mobile apps with Qt and embedded platforms •Interact with a gamepad using Qt Gamepad Who this book is for Mastering Qt 5 is for developers and programmers who want to build GUI-based applications. C++ knowledge is necessary, and knowing QT basics will help you get the most out of this book. Table of Contents 1.Get Your Qt Feet Wet 2.Discovering qmake Secrets 3.Dividing Your Project and Ruling Your Code 4.Conquering the Desktop UI 5.Dominating the Mobile UI 6.Even Qt Deserves a Slice of Raspberry Pi 7.Third-Party Libraries without a Headache 8.Animations - Its Alive, Alive! 9.Keeping Your Sanity with Multithreading 10.Need IPC? Get Your Minions to Work 11.Having Fun with Multimedia and Serialization 12.You Shall (Not) Pass with QTest 13.All Packed and Ready to Deploy 14.Qt Hat Tips and Tricks
Mastering Python Networking 2nd Edition
Mastering Python Networking 2nd Edition
Mastering Unity 2D Game Development 无水印pdf
Mastering Unity 2D Game Development 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Mastering PostgreSQL 11 2nd Edition
This <em>second</em> <em>edition</em> of Mastering PostgreSQL 11 helps you build dynamic database solutions for enterprise applications using the latest release of PostgreSQL, which enables database analysts to design both the physical and technical aspects of the system architecture with ease. This book begins with an introduction to the newly released features in PostgreSQL 11 to help you build efficient and fault-tolerant PostgreSQL applications. You'll examine all of the advanced aspects of PostgreSQL in detail, including logical replication, database clusters, performance tuning, monitoring, and user management. You will also work with the PostgreSQL optimizer, configuring PostgreSQL for high speed, and see how to move from Oracle to PostgreSQL. As you progress through the chapters, you will cover transactions, locking, indexes, and optimizing queries to improve performance. Additionally, you'll learn to manage network security and explore backups and replications, while understanding the useful extensions of PostgreSQL so that you can optimize the speed and performance of large databases. By the end of this book, you will be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.
Mastering OpenStack - Second Ed.epub(精通OpenStack第二版)
The book will show you how to carry out performance tuning based on OpenStack service logs. You will be able to master OpenStack benchmarking and performance tuning. By the end of the book, you\\\'ll be ready to take steps to deploy and manage an OpenStack cloud with the latest open source technologies
Mastering Flask Web Development, 2nd Edition
Table of Contents Getting Started Creating Models with SQLAlchemy Creating Views with Templates Creating Controllers with Blueprints Advanced Application Structure Securing Your App Using NoSQL with Flask Building RESTful APIs Creating Asynchronous Tasks with Celery Useful Flask Extensions Building Your Own Extension Testing Flask Apps Deploying Flask Apps
Mastering Machine Learning With Scikit-learn Second Edition(2017年第二版 pdf)
Mastering Machine Learning With Scikit-learn的第二版,英文
Mastering OpenCV 3, Second Edition
Mastering OpenCV 3, Second Edition, Get hands-on with practical Computer Vision using OpenCV 3. Second <em>edition</em>: April 2017
Mastering Machine Learning With scikit-learn(中文版-带书签)
使用python scikit-learn进行数据挖掘。 本书内容简介 第1章 机器学习基础 第2章 线性回归 第3章 特征提取与处理 第4章 从线性回归到逻辑回归 第5章 决策树——非线性回归与分类 第6章 K-Means聚类 第7章 用PCA降维 第8章 感知器 第9章 从感知器到支持向量机 第10章 从感知器到人工神经网络
Mastering Docker - Third Edition
Book Description Docker has been a game-changer when it comes to how modern applications are deployed and created. It has now grown into a key driver of innovation beyond system administration, with an impact on the world of web development. But how can you make sure you're keeping up with the innovations it's driving, or be sure you're using it to its full potential? Mastering Docker shows you how; this book not only demonstrates how to use Docker more effectively, but also helps you rethink and reimagine what's possible with it. You will cover concepts such as building, managing, and storing images, along with best practices to make you confident, before delving more into Docker security. You'll find everything related to extending and integrating Docker in new and innovative ways. Docker Compose, Docker Swarm, and Kubernetes will help you take control of your containers in an efficient manner. By the end of the book, you will have a broad, yet detailed, sense of what's possible with Docker, and how seamlessly it fits in with a range of other platforms and tools.
Mastering Unity 2D Game Development - Second Edition
高清第二版Unity 5
Python for Finance - Second Edition 【含代码】
Python for Finance - Second Edition English | 2017 | ISBN-10: 1787125696 | 586 pages | PDF/MOBI/EPUB (conv) | 4.5 Mb Learn and implement various Quantitative Finance concepts using the popular Python libraries About This Book Understand the fundamentals of Python data structures and work with time-series data Implement key concepts in quantitative finance using popular Python libraries such as NumPy, SciPy, and matplotlib A step-by-step tutorial packed with many Python programs that will help you learn how to apply Python to finance Who This Book Is For This book assumes that the readers have some basic knowledge related to Python. However, he/she has no knowledge of quantitative finance. In addition, he/she has no knowledge about financial data. What You Will Learn Become acquainted with Python in the first two chapters Run CAPM, Fama-French 3-factor, and Fama-French-Carhart 4-factor models Learn how to price a call, put, and several exotic options Understand Monte Carlo simulation, how to write a Python program to replicate the Black-Scholes-Merton options model, and how to price a few exotic options Understand the concept of volatility and how to test the hypothesis that volatility changes over the years Understand the ARCH and GARCH processes and how to write related Python programs In Detail This book uses Python as its computational tool. Since Python is free, any school or organization can download and use it. This book is organized according to various finance subjects. In other words, the first <em>edition</em> focuses more on Python, while the <em>second</em> <em>edition</em> is truly trying to apply Python to finance. The book starts by explaining topics exclusively related to Python. Then we deal with critical parts of Python, explaining concepts such as time value of money stock and bond evaluations, capital asset pricing model, multi-factor models, time series analysis, portfolio theory, options and futures. This book will help us to learn or review the basics of quantitative finance and apply Python to solve various problems, such as estimating IBM's market risk, running a Fama-French 3-factor, 5-factor, or Fama-French-Carhart 4 factor model, estimating the VaR of a 5-stock portfolio, estimating the optimal portfolio, and constructing the efficient frontier for a 20-stock portfolio with real-world stock, and with Monte Carlo Simulation. Later, we will also learn how to replicate the famous Black-Scholes-Merton option model and how to price exotic options such as the average price call option. Style and approach This book takes a step-by-step approach in explaining the libraries and modules in Python, and how they can be used to implement various aspects of quantitative finance. Each concept is explained in depth and supplemented with code examples for better understanding.
Mastering Microservices with Java 无水印pdf
Mastering Microservices with Java 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Learning Ceph(2nd) 无水印pdf
Learning Ceph(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Mastering Xamarin.Forms(2nd) epub
Mastering Xamarin.Forms(2nd) 英文epub 第2版 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
Mastering Bitcoin: Programming the Open Blockchain
Mastering Bitcoin 2017年 第二版 PDF格式  比特幣技術核心, 比特幣參考實現方案, 電子錢包, 比特幣交易和網絡協議 區块鏈的應用等等。
mastering java 11 第二版
JAVA 11,是一个长期支持版本,自带的ZGC具有不低于2ms的延迟,绝对惊叹。本书详细介绍了JAVA9-11以来的新特性,是掌握JAVA11的必备书籍,PDF电子版,高清,可以复制,粘贴代码。
Learning Node.js_2nd Edition (无水印)
英文原版,第二版,无水印。
Selenium WebDriver 3 Practical Guide 2nd.Edition 2018年9月最新版本 文字可拷贝
Selenium WebDriver 3 Practical Guide 2nd.Edition 2018年9月最新版本 文字可拷贝
Packt.Mastering.PostgreSQL10
Packt.Mastering.PostgreSQL.10.2018.1.pdf 很不错的关于postgresql数据库的书籍
Mastering Node.js(PDF版免积分下载)
免积分<em>下载</em>地址:https://xiaoding.pipipan.com/fs/1927055-239430257 复制粘贴连接打开即可<em>下载</em>
eBook:Mastering Selenium WebDriver
Mastering Selenium WebDriver是packtpub 在2015年8月出版的新书,本资源压缩包里包含pdf、epub、mobi电子书和代码,希望对自动化测试工程师有用。
Node.js Design Patterns, 2nd Edition
Node.js的设计模式,方便大家更好的使用node.js,写出更合理的项目代码
Python Machine Learning Second Edition
Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow Sebastian Raschka Vahid Mirjalili
Mastering Rust(PDF英文文字版)+源码.rar
Discover the powerful, hidden features of Rust you need to build robust, concurrent, and fast applications About This Book ? Learn how concurrency works in Rust and why it is safe ? Get to know the different philosophies of error handling and how to use them wisely ? After reading this book, you will be able to migrate your legacy C or C++ application to a Rust environment Who This Book Is For The target audience would be readers having knowledge of other programming languages and are able to work fluently in the operating system of their choice, be it Linux, OS X or Windows. Since Rust is a rather new language, they are interested in programming beyond simply using it for work. The book focuses on intermediate and advanced features of Rust. What You Will Learn ? Implement unit testing patterns with the standard Rust tools ? Get to know the different philosophies of error handling and how to use them wisely ? Appreciate Rust's ability to solve memory allocation problems safely without garbage collection ? Get to know how concurrency works in Rust and use concurrency primitives such as threads and message passing ? Use syntax extensions and write your own ? Create a Web application with Rocket ? Use Diesel to build safe database abstractions In Detail If concurrent programs are giving you sleepless nights, Rust is your go-to language. Being one of the first ever comprehensive books on Rust, it is filled with real-world examples and explanations, showing you how you can build scalable and reliable programs for your organization. We’ll teach you intermediate to advanced level concepts that make Rust a great language. Improving performance, using generics, building macros, and working with threads are just some of the topics we’ll cover. We’ll talk about the official toolsets and ways to discover more. The book contains a mix of theory interspersed with hands-on tasks, so you acquire the skills as well as the knowledge. Since programming cannot be learned by just reading, we provide exercises (and solutions) to hammer the concepts in. After reading this book, you will be able to implement Rust for your enterprise project, deploy the software, and will know the best practices of coding in Rust. Style and approach This book is your one stop guide to the Rust programming language and covers advanced-level concepts in a detailed manner using real-world examples.
Python for Finance(2nd) 无水印pdf
Python for Finance(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
Mastering Embedded Linux Programming(2nd) 无水印pdf
Mastering Embedded Linux Programming(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
postgis in action 2nd(pdf,mobi,epub) 2015-04
2015年4月第二版,目前国内没有翻译版本,纯英文,含dpf/epub/mobi三种格式,希望能供需要的小伙伴查阅使用. 贴上英文内容简介: About the book Processing data tied to location and topology requires specialized know-how. PostGIS is a free spatial database extender for PostgreSQL, every bit as good as proprietary software. With it, you can easily create location-aware queries in just a few lines of SQL code and build the back end for a mapping, raster analysis, or routing application with minimal effort. PostGIS in Action, Second Edition teaches you to solve real-world geodata problems. It first gives you a background in vector-, raster-, and topology-based GIS and then quickly moves into analyzing, viewing, and mapping data. You’ll learn how to optimize queries for maximum speed, simplify geometries for greater efficiency, and create custom functions for your own applications. You’ll also learn how to apply your existing GIS knowledge to PostGIS and integrate with other GIS tools. Familiarity with relational database and GIS concepts is helpful but not required. What’s inside An introduction to spatial databases Geometry, geography, raster, and topology spatial types, functions, and queries Applying PostGIS to real-world problems Extending PostGIS to web and desktop applications Updated for PostGIS <em>2.x</em> and PostgreSQL 9.x About the authors Regina Obe and Leo Hsu are database consultants and authors. Regina is a member of the PostGIS core development team and the Project Steering Committee.
Mastering OpenCV 3 - Second Edition.azw3格式电子书下载
Mastering OpenCV 3 - Second Edition by Daniel Lélis Baggio English | 4 May 2017 | ASIN: B01N7G0BKE | 250 Pages | AZW3 | 4.82 MB Key Features Updated for OpenCV 3, this book covers new features that will help you unlock the full potential of OpenCV 3 Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware applications Each chapter is a tutorial for an entire project from start to finish, showing you how to apply OpenCV to solve complete problems Book Description As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision. This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You’ll learn how to make AI that can remember and use neural networks to help your applications learn. By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3. What you will learn Execute basic image processing operations and cartoonify an image Build an OpenCV project natively with Raspberry Pi and cross-compile it for Raspberry Pi.text Extend the natural feature tracking algorithm to support the tracking of multiple image targets on a video Use OpenCV 3’s new 3D visualization framework to illustrate the 3D scene geometry Create an application for Automatic Number Plate Recognition (ANPR) using a support vector machine and Artificial Neural Networks Train and predict pattern-recognition algorithms to decide whether an image is a number plate Use POSIT for the six degrees of freedom head pose Train a face recognition database using deep learning and recognize faces from that database
Mastering Bootstrap 4, 2nd Edition-Packt Publishing(2018) PDF (英文版)
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mastering enterprise javabeans
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Mastering OpenStack (Second Edition)
无水印,数字版,有目录。 Mastering OpenStack - Second Edition: Design, deploy, and manage clouds in mid to large IT infrastructures Paperback – April 26, 2017 Discover your complete guide to designing, deploying, and managing OpenStack-based clouds in mid-to-large IT infrastructures with best practices, expert understanding, and more About This Book Design and deploy an OpenStack-based cloud in your mid-to-large IT infrastructure using automation tools and best practices Keep yourself up-to-date with valuable insights into OpenStack components and new services in the latest OpenStack release Discover how the new features in the latest OpenStack release can help your enterprise and infrastructure Who This Book Is For This book is for system administrators, cloud engineers, and system architects who would like to deploy an OpenStack-based cloud in a mid-to-large IT infrastructure. This book requires a moderate level of system administration and familiarity with cloud concepts. What You Will Learn Explore the main architecture design of OpenStack components and core-by-core services, and how they work together Design different high availability scenarios and plan for a no-single-point-of-failure environment Set up a multinode environment in production using orchestration tools Boost OpenStack's performance with advanced configuration Delve into various hypervisors and container technology supported by OpenStack Get familiar with deployment methods and discover use cases in a real production environment Adopt the DevOps style of automation while deploying and operating in an OpenStack environment Monitor the cloud infrastructure and make decisions on maintenance and performance improvement
Mastering Blockchain-Packt Publishing(2017)
This book has one goal: to provide a comprehensive introduction to the theoretical and practical aspects of blockchain technology. This book contains all the material that is required to fully understand blockchain technology. After reading this book, readers will be able to develop a deep understanding of inner workings of blockchain technology and will be able to develop blockchain applications. This book covers all topics relevant to blockchain technology, including cryptography, cryptocurrenices, Bitcoin, Ethereum, and various other platforms and tools used for blockchain development. It is recommended that readers have a basic understanding of computer science and basic programming experience in order to benefit fully from this book. However, if that is not the case then still this book can be read easily, as relevant background material is provided where necessary.
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Machine Learning with Spark - Second Edition by Rajdeep Dua English | 4 May 2017 | ASIN: B01DPR2ELW | 532 Pages | AZW3 | 9.6 MB Key Features Get to the grips with the latest version of Apache Spark Utilize Spark's machine learning library to implement predictive analytics Leverage Spark’s powerful tools to load, analyze, clean, and transform your data Book Description This book will teach you about popular machine learning algorithms and their implementation. You will learn how various machine learning concepts are implemented in the context of Spark ML. You will start by installing Spark in a single and multinode cluster. Next you'll see how to execute Scala and Python based programs for Spark ML. Then we will take a few datasets and go deeper into clustering, classification, and regression. Toward the end, we will also cover text processing using Spark ML. Once you have learned the concepts, they can be applied to implement algorithms in either green-field implementations or to migrate existing systems to this new platform. You can migrate from Mahout or Scikit to use Spark ML. By the end of this book, you will acquire the skills to leverage Spark's features to create your own scalable machine learning applications and power a modern data-driven business. What you will learn Get hands-on with the latest version of Spark ML Create your first Spark program with Scala and Python Set up and configure a development environment for Spark on your own computer, as well as on Amazon EC2 Access public machine learning datasets and use Spark to load, process, clean, and transform data Use Spark's machine learning library to implement programs by utilizing well-known machine learning models Deal with large-scale text data, including feature extraction and using text data as input to your machine learning models Write Spark functions to evaluate the performance of your machine learning models
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Author: Yves Hilpisch Pub Date: 2019 ISBN: 978-1492024330 Pages: 720 Language: English Format: EPUB The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the <em>second</em> <em>edition</em> of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
Mastering Bitcoin
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mastering cmake.pdf
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Key Features 免费<em>下载</em>地址:https://u15597525.ctfile.com/fs/15597525-227624829 Get up to date with the defining characteristics of Spring Boot 2.0 in Spring Framework 5 Learn to perform Reactive programming with SpringBoot This book covers the latest features, tools, and practices including Spring MVC, REST, Security, AMPQ messaging, and more Book Description Spring Boot provides a variety of features that address today's business needs with a powerful database and state of the art MVC framework. This practical guide will help you get up and running with all the latest features of Spring Boot. The book starts off by helping you build a simple app, then show you how to bundle and deploy it to the cloud. From here, we take you through reactive programming showing you how to interact with controllers and templates and handle data access. Once you're done, you can start testing using unit tests, slice, and embedded spring boot tests. We also go into detail about developer tools, messaging, web sockets, security, and deployment. So if you want a good understanding of the core app functionality using Spring Boot, this is the book for you. 免费<em>下载</em>地址:https://u15597525.ctfile.com/fs/15597525-227624829
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This introduction to programming places computer science in the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process. This approach fosters a variety of skills--critical reading, analytical thinking, creative synthesis, and attention to detail--that are important for everyone, not just future computer programmers.
R_Graphics,_Second_Edition.pdf
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The Reasoned Schemer (MIT Press) (The MIT Press) By 作者: Daniel P Friedman – William E Byrd – Oleg Kiselyov – Jason Hemann ISBN-10 书号: 0262535513 ISBN-13 书号: 9780262535519 Edition 版本: <em>second</em> <em>edition</em> 出版日期: 2018-03-09 pages 页数: (206) A new <em>edition</em> of a book, written in a humorous question-and-answer style, that shows how to implement and use an elegant little programming language for logic programming. The goal of this book is to show the beauty and elegance of relational programming, which captures the essence of logic programming. The book shows how to implement a relational programming language in Scheme, or in any other functional language, and demonstrates the remarkable flexibility of the resulting relational programs. As in the first <em>edition</em>, the pedagogical method is a series of questions and answers, which proceed with the characteristic humor that marked The Little Schemer and The Seasoned Schemer. Familiarity with a functional language or with the first five chapters of The Little Schemer is assumed. For this <em>second</em> <em>edition</em>, the authors have greatly simplified the programming language used in the book, as well as the implementation of the language. In addition to revising the text extensively, and simplifying and revising the “Laws” and “Commandments,” they have added explicit “Translation” rules to ease translation of Scheme functions into relations. Copyright Contents Foreword Preface Acknowledgements Since the First Edition 1.Playthings 2.Teaching 01d Toys New Tricks 3.Seeing 01d Friends in New Ways 4.Double Your Fun 5.Members Ornly 6.The Fun Never Ends… 7.A Bit Too Much 8.Just a Bit More 9.Thin Ice 10.Under the Hood A.Connecting the Wires B.Welcome to the Club Afterword Index
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