Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully About This Book Get to grips with the concepts of machine learning through exciting real-world examples Visualize and solve complex problems by using power-packed R constructs and its robust packages for machine learning Learn to build your own machine learning system with this example-based practical guide Who This Book Is For If you are interested in mining useful information from data using state-of-the-art techniques to make data-driven decisions, this is a go-to guide for you. No prior experience with data science is required, although basic knowledge of R is highly desirable. Prior knowledge in machine learning would be helpful but is not necessary. What You Will Learn Utilize the power of R to handle data extraction, manipulation, and exploration techniques Use R to visualize data spread across multiple dimensions and extract useful features Explore the underlying mathematical and logical concepts that drive machine learning algorithms Dive deep into the world of analytics to predict situations correctly Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action Write reusable code and build complete machine learning systems from the ground up Solve interesting real-world problems using machine learning and R as the journey unfolds Harness the power of robust and optimized R packages to work on projects that solve real-world problems in machine learning and data science In Detail Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages, and an active developer community, R empowers users to build sophisticated machine learning systems to solve real-world data problems. This book takes you on a data-driven journey that starts with the very basics of R and machine learning and gradually builds upon the concepts to work on projects that tackle real-world problems. You’ll begin by getting an understanding of the core concepts and definitions required to appreciate machine learning algorithms and concepts. Building upon the basics, you will then work on three different projects to apply the concepts of machine learning, following current trends and cover major algorithms as well as popular R packages in detail. These projects have been neatly divided into six different chapters covering the worlds of e-commerce, finance, and social-media, which are at the very core of this data-driven revolution. Each of the projects will help you to understand, explore, visualize, and derive insights depending upon the domain and algorithms. Through this book, you will learn to apply the concepts of machine learning to deal with data-related problems and solve them using the powerful yet simple language, R. Style and approach The book is an enticing journey that starts from the very basics to gradually pick up pace as the story unfolds. Each concept is first defined in the larger context of things succinctly, followed by a detailed explanation of their application. Each topic is explained with the help of a project that solves a real real-world problem involving hands-on work thus giving you a deep insight into the world of machine learning.

Discover the power of Drools 6 and Business Rules for developing complex scenarios in your applications About This Book Implement and model different rules using the DRL full syntax Model complex business decisions and domain models in order to automate and improve your operational decisions with the Drools framework A practical, fast-paced, hands-on guide to help you use the different components provided by the Drools Rule Engine Who This Book Is For This book is for Java developers and architects who need to have a deep understanding of how to create or integrate your applications with the Drools Rules Framework. The book assumes that you know the Java language well and also have experience with some widely used frameworks, such as Spring. You should also know the basics of Maven-based applications. What You Will Learn Automate your application’s decisions, such as promotion applying, discount policies, fraud detection, and more. Quickly get started with writing your first rules using the DRL full syntax. Discover the power of the new syntax components of the rule language. Define inferences in your business rules to simplify complex decisions. Write decision tables, templates,domain-specific languages, and scorecards, and learn how to map them to the Drools framework. Harness the full operational power of Drools through all of its configuration points. Use Drools configurations and architectures for different environments and scenarios. In Detail Mastering JBoss Drools 6 will provide you with the knowledge to develop applications involving complex scenarios. You will learn how to use KIE modules to create and execute Business Rules, and how the PHREAK algorithm internally works to drive the Rule Engine decisions. This book will also cover the relationship between Drools and jBPM, which allows you to enrich your applications by using Business Processes. You will be briefly introduced to the concept of complex event processing (Drools CEP) where you will learn how to aggregate and correlate your data based on temporal conditions. You will also learn how to define rules using domain-specific languages, such as spreadsheets, database entries, PMML, and more. Towards the end, this book will take you through the integration of Drools with the Spring and Camel frameworks for more complex applications. Style and approach Approached from a developer’s perspective, the book teaches you all the advanced concepts of Business Rules applicable examples with helpful screenshots, diagrams, tutorials, and examples.

Over 80 hands-on recipes to unleash full potential for Xamarin in development and monetization of feature-packed, real-world Android apps About This Book Create a number of Android applications using the Xamarin Android platform Extensively integrate your Android devices with other Android devices to enhance your app creation experience A comprehensive guide packed with real-world scenarios and pro-level practices and techniques to help you build successful Android apps Who This Book Is For If you are a Xamarin developer who wants to create complete Android applications with Xamarin, then this book is ideal for you. No prior knowledge of Android development is needed, however a basic knowledge of C# and .NET would be useful. What You Will Learn Install and use Xamarin.Android with Xamarin Studio and Visual Studio Design an app’s user interface for multiple device configurations Store and protect data in databases, files, and on the cloud Utilize lists and collections to present data to the user Communicate across the network using NFC or Bluetooth Perform tasks in the background and update the user with notifications Capture and play multimedia, such as video and audio, with the camera Implement In-App Billing and Expansion Files and deploy to the store In Detail Xamarin is used by developers to write native iOS, Android, and Windows apps with native user interfaces and share code across multiple platforms not just on mobile devices, but on Windows, Mac OS X, and Linux. Developing apps with Xamarin.Android allows you to use and re-use your code and your skills on different platforms, making you more productive in any development. Although it’s not a write-once-run-anywhere framework, Xamarin provides native platform integration and optimizations. There is no middleware; Xamarin.Android talks directly to the system, taking your C# and F# code directly to the low levels. This book will provide you with the necessary knowledge and skills to be part of the mobile development era using C#. Covering a wide range of recipes such as creating a simple application and using device features effectively, it will be your companion to the complete application development cycle. Starting with installing the necessary tools, you will be guided on everything you need to develop an application ready to be deployed. You will learn the best practices for interacting with the device hardware, such as GPS, NFC, and Bluetooth. Furthermore, you will be able to manage multimedia resources such as photos and videos captured with the device camera, and so much more! By the end of this book, you will be able to create Android apps as a result of learning and implementing pro-level practices, techniques, and solutions. This book will ascertain a seamless and successful app building experience. Style and approach This book employs a step-by-step approach to Android app creation, explained in a conversational and easy-to-follow style. A wide range of examples are listed to ensure a complete understanding of how to deploy competent apps on the Android market.

Create robust and scalable applications along with responsive UI using concurrency and the multi-threading infrastructure in .NET and C#About This BookLearn to combine your asynchronous operations with Task Parallel LibraryMaster C#’s asynchronous infrastructure and use asynchronous APIs effectively to achieve optimal responsiveness of the applicationAn easy-to-follow, example-based guide that helps you to build scalable applications using concurrency in C# Who This Book Is For If you are a C# developer who wants to develop modern applications in C# and wants to overcome problems by using asynchronous APIs and standard patterns, then this book is ideal for you. Reasonable development knowledge, an understanding of core elements and applications related to the .Net platform, and also the fundamentals of concurrency is assumed.What You Will LearnApply general multithreading concepts to your application’s designLeverage lock-free concurrency and learn about its pros and cons to achieve efficient synchronization between user threadsCombine your asynchronous operations with Task Parallel LibraryMake your code easier with C#’s asynchrony supportUse common concurrent collections and programming patternsWrite scalable and robust server-side asynchronous codeCreate fast and responsible client applicationsAvoid common problems and troubleshoot your multi-threaded and asynchronous applications In Detail Starting with the traditional approach to concurrency, you will learn how to write multithreaded concurrent programs and compose ways that won't require locking. You will explore the concepts of parallelism granularity, and fine-grained and coarse-grained parallel tasks by choosing a concurrent program structure and parallelizing the workload optimally. You will also learn how to use task parallel library, cancellations, timeouts, and how to handle errors. You will know how to choose the appropriate data structure for a specific parallel algorithm to achieve scalability and performance. Further, you'll learn about server scalability, asynchronous I/O, and thread pools, and write responsive traditional Windows and Windows Store applications. By the end of the book, you will be able to diagnose and resolve typical problems that could happen in multithreaded applications.Style and approach An easy-to-follow, example-based guide that will walk you through the core principles of concurrency and multithreading using C#.

Harness the hidden power of Java to build network-enabled applications with lower network traffic and faster processes About This BookLearn to deliver superior server-to-server communication through the networking channelsGain expertise of the networking features of your own applications to support various network architectures such as client/server and peer-to-peerExplore the issues that impact scalability, affect security, and allow applications to work in a heterogeneous environmentWho This Book Is ForLearning Network Programming with Java is oriented to developers who wish to use network technologies to enhance the utility of their applications. You should have a working knowledge of Java and an interest in learning the latest in network programming techniques using Java. No prior experience with network development or special software beyond the Java SDK is needed. Upon completion of the book, beginner and experienced developers will be able to use Java to access resources across a network and the Internet.What You Will LearnConnect to other applications using socketsUse channels and buffers to enhance communication between applicationsAccess network services and develop client/server applicationsExplore the critical elements of peer-to-peer applications and current technologies availableUse UDP to perform multicastingAddress scalability through the use of core and advanced threading techniques Incorporate techniques into an application to make it more secure Configure and address interoperability issues to enable your applications to work in a heterogeneous environment In Detail Network-aware applications are becoming more prevalent and play an ever-increasing role in the world today. Connecting and using an Internet-based service is a frequent requirement for many applications. Java provides numerous classes that have evolved over the years to meet evolving network needs. These range from low-level socket and IP-based approaches to those encapsulated in software services. This book explores how Java supports networks, starting with the basics and then advancing to more complex topics. An overview of each relevant network technology is presented followed by detailed examples of how to use Java to support these technologies. We start with the basics of networking and then explore how Java supports the development of client/server and peer-to-peer applications. The NIO packages are examined as well as multitasking and how network applications can address practical issues such as security. A discussion on networking concepts will put many network issues into perspective and let you focus on the appropriate technology for the problem at hand. The examples used will provide a good starting point to develop similar capabilities for many of your network needs. Style and approach Each network technology’s terms and concepts are introduced first. This is followed up with code examples to explain these technologies. Many of the examples are supplemented with alternate Java 8 solutions when appropriate. Knowledge of Java 8 is not necessary but these examples will help you better understand the power of Java 8.

Over 80 recipes to get up and running with CentOS 7 Linux serverAbout This BookA practical guide to install, configure, administer and maintain CentOS 7 serversAn in-depth guide to the CentOS 7 operating system, exploring its various new features and changes in server administrationPresents tricks and solutions to tackle common server issues with the help of practical examples and real-life scenariosWho This Book Is ForThis book is targeted at beginner and more experienced system administrators alike who want to use CentOS as their server solution. Readers do not need much pre-knowledge or experience at all to work with this book.What You Will LearnInstall and configure CentOS 7 Linux server system from scratch using normal and advanced methodsMaintain a performance-based and secure server solution by deploying expert configuration advice and managing software packagesMonitor, manage and develop your server's file system to maintain a stable performanceGain best practice methods on sharing files and resources through a networkInstall and configure common standard services such as web, mail, FTP, database and domain name server technologiesIntroduce you to the world of operating-system-level virtualization using the Docker platform.Understand the fundamentals of the Security-Enhanced Linux access control architectureMonitor your IT infrastructure using NagiosIn DetailThis book will provide you with a comprehensive series of starting points that will give you direct access to the inner workings of the latest CentOS version 7 and help you trim the learning curve to master your server.You will begin with the installation and basic configuration of CentOS 7, followed by learning how to manage your system, services and software packages. You will then gain an understanding of how to administer the file system, secure access to your server and configure various resource sharing services such as file, printer and DHCP servers across your network. Further on, we cover advanced topics such as FTP services, building your own DNS server, running database servers, and providing mail and web services. Finally, you will get a deep understanding of SELinux and you will learn how to work with Docker operating-system virtualization and how to monitor your IT infrastructure with Nagios.By the end of this book, you will have a fair understanding of all the aspects of configuring, implementing and administering CentOS 7 Linux server and how to put it in control.Style and approachThis book is a practical reference guide with hands-on examples and solutions to real-world administration problems. It covers in-depth and comprehensive information on CentOS 7 and its new features.

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with PythonAbout This BookA step-by-step guide to predictive modeling including lots of tips, tricks, and best practicesGet to grips with the basics of Predictive Analytics with PythonLearn how to use the popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and ClusteringWho This Book Is ForIf you wish to learn how to implement Predictive Analytics algorithms using Python libraries, then this is the book for you. If you are familiar with coding in Python (or some other programming/statistical/*ing language) but have never used or read about Predictive Analytics algorithms, this book will also help you. The book will be beneficial to and can be read by any Data Science enthusiasts. Some familiarity with Python will be useful to get the most out of this book, but it is certainly not a prerequisite.What You Will LearnUnderstand the statistical and mathematical concepts behind Predictive Analytics algorithms and implement Predictive Analytics algorithms using Python librariesAnalyze the result parameters arising from the implementation of Predictive Analytics algorithmsWrite Python modules/functions from scratch to execute segments or the whole of these algorithmsRecognize and mitigate various contingencies and issues related to the implementation of Predictive Analytics algorithmsGet to know various methods of importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and numpyCreate dummy datasets and simple mathematical simulations using the Python numpy and pandas librariesUnderstand the best practices while handling datasets in Python and creating predictive models out of themIn DetailSocial Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form - It needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Learning to predict who would win, lose, buy, lie, or die with Python is an indispensable skill set to have in this data age.This book is your guide to getting started with Predictive Analytics using Python. You will see how to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and numpy.You’ll start by getting an understanding of the basics of predictive modeling, then you will see how to cleanse your data of impurities and get it ready it for predictive modeling. You will also learn more about the best predictive modeling algorithms such as Linear Regression, Decision Trees, and Logistic Regression. Finally, you will see the best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world.Style and approachAll the concepts in this book been explained and illustrated using a dataset, and in a step-by-step manner. The Python code snippet to implement a method or concept is followed by the output, such as charts, dataset heads, pictures, and so on. The statistical concepts are explained in detail wherever required.

Develop games for iOS and Android using Cocos2d with the aid of over 70 step-by-step recipesAbout This BookLearn to efficiently use Cocos2d to develop cross-platform games, and have them work on iOS as well as AndroidGet acquainted with industry-wide professional tools such as Glyph Designer, Texture Packer, and Physics Editor, as well as using the Swift/ Sprite builder implementation of Cocos2dUse the easy-to-follow recipes to develop as well as deploy games to the Playstore and the App StoreWho This Book Is ForThis book is for intermediate game developers and especially the ones who are generally curious to find out what’s new in Cocos2d v 3.3.What You Will LearnBuild custom sprites with custom animations for the gameBuild interactivity into your game by adding gestures and touch interactionsUnderstand AI enemy programming and path finding to make games more excitingAdd physics to your game to make it more lively and interactiveGet familiar with the Swift and Sprite builder implementations along with Objective-C programmingPerform hassle-free deployment of games built in iOS onto AndroidAdd effects and particle systems to make the game more colorfulIn DetailCocos2d is the world’s leading game development framework for developing iOS games. With the introduction of Swift and Spritebuilder, it has become easier than ever to develop the games of your dreams without much effort. With Cocos2d, you can also deploy the game on Android, thereby maximizing profit and reducing development and porting costs.The book starts off with a detailed look at how to implement sprites and animations into your game to make it livelier. You will then learn to add scenes to the game such as the gameplay scene and options scene and create menus and buttons in these scenes, as well as creating transitions between them. From there on, you will get an understanding of how to program user interactions such as tapping, holding, and swiping. You’ll then add accelerometer inputs and physics to the scene, and make objects respond back to the inputs. A game is practically incomplete without audio being added, so this will be covered next.The next section will include ways to add Artificial Intelligence to enemies in the game, allowing them to patrol, chase, and shoot in a projectile manner. You will then learn to use NSUserDefault to save and load game progress, and create and access files using JSON, Plist, and XML files for custom storage and retrieval of data. Then you will learn to add dynamic lighting to your game and will use industry-wide tools such as Texture Packer, Glyph Designer, Physics Editor, Particle Designer, and Sprite Illuminator to create more visually appealing and performance-optimized games.Towards the end of the book, we dive into Apple’s latest programming language—Swift, highlighting the major differences between Objective C and Swift. The book culminates with taking your existing game developed for iOS and porting it to Android, showing you how to install the Android Xcode plugin as well.Style and approachThe book is written in an extremely lucid and step-by-step manner; it can be understood easily by anyone. The topics included are broken down into individual chapters so you can refer to the specific chapter to get answers on the subject you are interested in.

Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3About This BookGet to grips with the basics of Computer Vision and image processingThis is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3This book takes a special focus on working with Tesseract OCR, a free, open-source library to recognize text in imagesWho This Book Is ForIf you are a software developer with a basic understanding of Computer Vision and image processing and want to develop interesting Computer Vision applications with Open CV, this is the book for you. Knowledge of C++ is required.What You Will LearnInstall OpenCV 3 on your operating systemCreate the required CMake *s to compile the C++ application and manage its dependenciesGet to grips with the Computer Vision workflows and understand the basic image matrix format and filtersUnderstand the segmentation and feature extraction techniquesRemove backgrounds from a static scene to identify moving objects for video surveillanceTrack different objects in a live video using various techniquesUse the new OpenCV functions for text detection and recognition with TesseractIn DetailOpen CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation.Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects.Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch.By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.Style and approachThis book is a practical guide with lots of tips, and is closely focused on developing Computer vision applications with OpenCV. Beginning with the fundamentals, the complexity increases with each chapter. Sample applications are developed throughout the book that you can execute and use in your own projects.

Over 25 hands-on recipes to create robust and highly-efficient cross-platform distributed applications with the Boost.Asio libraryAbout This BookBuild highly efficient distributed applications with easeEnhance your cross-platform network programming skills with one of the most reputable C++ librariesFind solutions to real-world problems related to network programming with ready-to-use recipes using this detailed and practical handbookWho This Book Is ForIf you want to enhance your C++ network programming skills using the Boost.Asio library and understand the theory behind development of distributed applications, this book is just what you need. The prerequisite for this book is experience with general C++11. To get the most from the book and comprehend advanced topics, you will need some background experience in multithreading.What You Will LearnBoost your working knowledge of one of the most reputable C++ networking libraries—Boost.AsioFamiliarize yourself with the basics of TCP and UDP protocolsCreate scalable and highly-efficient client and server applicationsUnderstand the theory behind development of distributed applicationsIncrease the security of your distributed applications by adding SSL supportImplement a HTTP client easilyUse iostreams, scatter-gather buffers, and timersIn DetailStarting with recipes demonstrating the execution of basic Boost.Asio operations, the book goes on to provide ready-to-use implementations of client and server applications from simple synchronous ones to powerful multithreaded scalable solutions. Finally, you are presented with advanced topics such as implementing a chat application, implementing an HTTP client, and adding SSL support. All the samples presented in the book are ready to be used in real projects just out of the box.As well as excellent practical examples, the book also includes extended supportive theoretical material on distributed application design and construction.Style and approachThis book is a set of recipes, each containing the statement and de*ion of a particular practical problem followed by code sample providing the solution to the problem and detailed step-by-step explanation. Recipes are grouped by topic into chapters and ordered by the level of complexity from basic to advanced.

Focusing on the ScrumMaster role and responsibilities, this book presents solutions and ideas for common problems, improving the overall methodology of a ScrumMaster's approach. The Professional ScrumMaster’s Handbook is for anybody who wishes to be a true ScrumMaster as the role was originally intended - a fearless, professional, change facilitator. This book extends your working knowledge of Scrum to explore other avenues and ways of thinking to help teams and organizations reach their full potential.

This books takes a comprehensive tutorial approach with plenty of screenshots and detailed step-by-step instructions. This book is for Windows server administrators, who may not necessarily be familiar with Hyper-V, and also for existing Hyper-V administrators who want to advance their skills in Windows Server 2012 Hyper-V.

Written as a series of engaging and practical recipes, this essential Cookbook has been meticulously designed and reviewed in order to provide you with the ultimate reference for PlayStation?Mobile development. If you've got some prior experience with C# and want to create awesome projects for the PlayStation?Vita and PlayStation?Certified devices, then this book is for you.

Get to grips with key data visualization and predictive analytic skills using R About This Book Acquire predictive analytic skills using various tools of R Make predictions about future events by discovering valuable information from data using R Comprehensible guidelines that focus on predictive model design with real-world data Who This Book Is For If you are a statistician, chief information officer, data scientist, ML engineer, ML practitioner, quantitative analyst, and student of machine learning, this is the book for you. You should have basic knowledge of the use of R. Readers without previous experience of programming in R will also be able to use the tools in the book. What You Will Learn Customize R by installing and loading new packages Explore the structure of data using clustering algorithms Turn unstructured text into ordered data, and acquire knowledge from the data Classify your observations using Na?ve Bayes, k-NN, and decision trees Reduce the dimensionality of your data using principal component analysis Discover association rules using Apriori Understand how statistical distributions can help retrieve information from data using correlations, linear regression, and multilevel regression Use PMML to deploy the models generated in R In Detail R is statistical software that is used for data analysis. There are two main types of learning from data: unsupervised learning, where the structure of data is extracted automatically; and supervised learning, where a labeled part of the data is used to learn the relationship or scores in a target attribute. As important information is often hidden in a lot of data, R helps to extract that information with its many standard and cutting-edge statistical functions. This book is packed with easy-to-follow guidelines that explain the workings of the many key data mining tools of R, which are used to discover knowledge from your data. You will learn how to perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. All chapters will guide you in acquiring the skills in a practical way. Most chapters also include a theoretical introduction that will sharpen your understanding of the subject matter and invite you to go further. The book familiarizes you with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, association rules, principal component analysis, multilevel modeling, k-NN, Na?ve Bayes, decision trees, and text mining. It also provides a de*ion of visualization techniques using the basic visualization tools of R as well as lattice for visualizing patterns in data organized in groups. This book is invaluable for anyone fascinated by the data mining opportunities offered by GNU R and its packages. Style and approach This is a practical book, which analyzes compelling data about life, health, and death with the help of tutorials. It offers you a useful way of interpreting the data that’s specific to this book, but that can also be applied to any other data.

A step by step beginner's tutorial to creating AAA style games with the complete game creation tool, CryENGINE 3,This book is written with the beginner and casual developer in mind. The freely available version of the CryENGINE3 is used for all examples in this book.

This book is intended for those developers who are keen to master the internal workings of Play Framework to effectively build and deploy web-related apps.

If you are a geospatial analyst who wants to learn more about automating everyday GIS tasks or a programmer who is responsible for building GIS applications,this book is for you. The short, reusable recipes make concepts easy to understand. You can build larger applications that are easy to maintain when they are put together.

If you are a proficient Cocos2d game developer who wants to enhance his or her game development skill set using Cocos2d-x to build different types of games, this book is for you.

If you're an experienced Java developer and want to implement more effective methods of programming systems and applications, then this book is for you.

This book is intended for WordPress developers and designers who want to develop quality web applications within a limited time frame and for maximum profit. Prior knowledge of basic web development and design is assumed.

This is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. This book will first introduce various Python-related tools/packages in the initial chapters before moving towards practical usage, examples, and implementation in specialized kinds of Geospatial data analysis.This book is for anyone who wants to understand digital mapping and analysis and who uses Python or another *ing language for automation or crunching data manually.This book primarily targets Python developers, researchers, and analysts who want to perform Geospatial, modeling, and GIS analysis with Python.