Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Learn To Geocode
Download Learn To Geocode full books in PDF, epub, and Kindle. Read online Learn To Geocode ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Download or read book Learn to Geocode written by Ian Allan and published by . This book was released on 2020-01-10 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you been trying to learn geocoding without any luck? Follow the steps in this QGIS tutorial and you'll be geocoding your own spreadsheet in no-time!In Learn Geocoding in QGIS 3 I teach you... * Generic geocoding concepts - why geocodes are important and how to improve your geocoding hit rate. * How to format your addresses in preparation for geocoding using both spreadsheet formulas and SQL in QGIS.* How to geocode in QGIS using the MMQGIS geocoding plugin - geocode an address using the MMQGIS google maps geocoder, street line geocoder, and address point geocoder.*** Includes downloadable course dataset
Book Synopsis E-Learning for Geographers: Online Materials, Resources, and Repositories by : Rees, Philip
Download or read book E-Learning for Geographers: Online Materials, Resources, and Repositories written by Rees, Philip and published by IGI Global. This book was released on 2008-11-30 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a useful reference to the latest advancements in the area of educational technology and e-learning"--Provided by publisher.
Book Synopsis Learn Python by Building Data Science Applications by : Philipp Kats
Download or read book Learn Python by Building Data Science Applications written by Philipp Kats and published by Packt Publishing Ltd. This book was released on 2019-08-30 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the constructs of the Python programming language and use them to build data science projects Key FeaturesLearn the basics of developing applications with Python and deploy your first data applicationTake your first steps in Python programming by understanding and using data structures, variables, and loopsDelve into Jupyter, NumPy, Pandas, SciPy, and sklearn to explore the data science ecosystem in PythonBook Description Python is the most widely used programming language for building data science applications. Complete with step-by-step instructions, this book contains easy-to-follow tutorials to help you learn Python and develop real-world data science projects. The “secret sauce” of the book is its curated list of topics and solutions, put together using a range of real-world projects, covering initial data collection, data analysis, and production. This Python book starts by taking you through the basics of programming, right from variables and data types to classes and functions. You’ll learn how to write idiomatic code and test and debug it, and discover how you can create packages or use the range of built-in ones. You’ll also be introduced to the extensive ecosystem of Python data science packages, including NumPy, Pandas, scikit-learn, Altair, and Datashader. Furthermore, you’ll be able to perform data analysis, train models, and interpret and communicate the results. Finally, you’ll get to grips with structuring and scheduling scripts using Luigi and sharing your machine learning models with the world as a microservice. By the end of the book, you’ll have learned not only how to implement Python in data science projects, but also how to maintain and design them to meet high programming standards. What you will learnCode in Python using Jupyter and VS CodeExplore the basics of coding – loops, variables, functions, and classesDeploy continuous integration with Git, Bash, and DVCGet to grips with Pandas, NumPy, and scikit-learnPerform data visualization with Matplotlib, Altair, and DatashaderCreate a package out of your code using poetry and test it with PyTestMake your machine learning model accessible to anyone with the web APIWho this book is for If you want to learn Python or data science in a fun and engaging way, this book is for you. You’ll also find this book useful if you’re a high school student, researcher, analyst, or anyone with little or no coding experience with an interest in the subject and courage to learn, fail, and learn from failing. A basic understanding of how computers work will be useful.
Book Synopsis Hands-On Data Visualization by : Jack Dougherty
Download or read book Hands-On Data Visualization written by Jack Dougherty and published by "O'Reilly Media, Inc.". This book was released on 2021-03-11 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization takes you step-by-step through tutorials, real-world examples, and online resources. This practical guide is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
Book Synopsis Learning Geospatial Analysis with Python by : Joel Lawhead
Download or read book Learning Geospatial Analysis with Python written by Joel Lawhead and published by Packt Publishing Ltd. This book was released on 2019-09-27 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the core concepts of geospatial data analysis for building actionable and insightful GIS applications Key Features Create GIS solutions using the new features introduced in Python 3.7 Explore a range of GIS tools and libraries such as PostGIS, QGIS, and PROJ Learn to automate geospatial analysis workflows using Python and Jupyter Book DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.What you will learn Automate geospatial analysis workflows using Python Code the simplest possible GIS in just 60 lines of Python Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library Understand the different formats that geospatial data comes in Produce elevation contours using Python tools Create flood inundation models Apply geospatial analysis to real-time data tracking and storm chasing Who this book is forThis book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.
Author :The AEJMC Elected Standing Committee on Teaching Publisher :Rowman & Littlefield ISBN 13 :1538100541 Total Pages :173 pages Book Rating :4.5/5 (381 download)
Book Synopsis Master Class by : The AEJMC Elected Standing Committee on Teaching
Download or read book Master Class written by The AEJMC Elected Standing Committee on Teaching and published by Rowman & Littlefield. This book was released on 2017-12-28 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Master Class: Teaching Advice for Journalism and Mass Communication Instructors, members of the AEJMC Elected Standing Committee on Teaching take readers behind the scenes to explain the teaching strategies, preparation tips, exercises, and project ideas that have, in many cases, earned them university and national teaching awards. It is designed to benefit everyone from instructors-in-training who are about to teach their first class to more experienced professors who are looking for ways to freshen their approach in the classroom. A companion website with additional resources can be found at http://www.aejmc.org/home/resources/teaching-help/.
Book Synopsis Python Machine Learning Blueprints by : Alexander Combs
Download or read book Python Machine Learning Blueprints written by Alexander Combs and published by Packt Publishing Ltd. This book was released on 2019-01-31 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Key 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 Description Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects. What you will 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 for This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.
Book Synopsis Active Learning Lessons, Activities, and Assignments for the Modern Social Work Educator by : Karen Zgoda
Download or read book Active Learning Lessons, Activities, and Assignments for the Modern Social Work Educator written by Karen Zgoda and published by Taylor & Francis. This book was released on 2022-10-19 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text infuses the field of social work with dynamic and evidence-based active learning, offering fresh ideas to increase students’ abilities to effectively implement their social work practice. To practice social work in the real world, students need to be energized and engaged with the realities of the modern social work landscape. Written in an accessible and practical style, the impressive array of contributors provide social work educators with structured lesson plans, practice exercises, and assignments that can be used in both the physical and virtual classroom. Combining the latest research with current social work practice trends, the chapters cover cutting-edge topics such as ethics, social work technology, the importance of self-care, and social justice and activism, bridging the gap between current social work education and the needs of the modern social work student. This book is invaluable reading for both social work educators and their students, providing tools to seamlessly integrate innovative techniques into the classroom as well as helping their students navigate a career in social work after graduation.
Book Synopsis Learning Cocoa with Objective-C by : Paris Buttfield-Addison
Download or read book Learning Cocoa with Objective-C written by Paris Buttfield-Addison and published by "O'Reilly Media, Inc.". This book was released on 2012-12-24 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get up to speed on Cocoa and Objective-C, and start developing applications on the iOS and OS X platforms. If you don’t have experience with Apple’s developer tools, no problem! From object-oriented programming to storing app data in iCloud, this book covers everything you need to build apps for the iPhone, iPad, and Mac. You’ll learn how to work with the Xcode IDE, Objective-C’s Foundation library, and other developer tools such as Event Kit framework and Core Animation. Along the way, you’ll build example projects, including a simple Objective-C application, a custom view, a simple video player application, and an app that displays calendar events for the user. Learn the application life cycle on OS X and iOS Work with the user-interface system in Cocoa and Cocoa Touch Use AV Foundation to display video and audio Build apps that let users create, edit, and work with documents Store data locally with the file system, or on the network with iCloud Display lists or collections of data with table views and collection views Interact with the outside world with Core Location and Core Motion Use blocks and operation queues for multiprocessing
Book Synopsis Learning Neo4j 3.x by : Jerome Baton
Download or read book Learning Neo4j 3.x written by Jerome Baton and published by Packt Publishing Ltd. This book was released on 2017-10-20 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database About This Book Get acquainted with graph database systems and apply them in real-world use cases Use Cypher query language, APOC and other Neo4j extensions to derive meaningful analysis from complex data sets. A practical guide filled with ready to use examples on querying, graph processing and visualizing information to build smarter spatial applications. Who This Book Is For This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily. What You Will Learn Understand the science of graph theory, databases and its advantages over traditional databases. Install Neo4j, model data and learn the most common practices of traversing data Learn the Cypher query language and tailor-made procedures to analyze and derive meaningful representations of data Improve graph techniques with the help of precise procedures in the APOC library Use Neo4j advanced extensions and plugins for performance optimization. Understand how Neo4j's new security features and clustering architecture are used for large scale deployments. In Detail Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database Neo4j. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. Furthermore, you'll also learn to create awesome procedures using APOC and extend Neo4j's functionality, enabling integration, algorithmic analysis, and other advanced spatial operation capabilities on data. Through the course of the book you will come across implementation examples on the latest updates in Neo4j, such as in-graph indexes, scaling, performance improvements, visualization, data refactoring techniques, security enhancements, and much more. By the end of the book, you'll have gained the skills to design and implement modern spatial applications, from graphing data to unraveling business capabilities with the help of real-world use cases. Style and approach A step-by-step approach of adopting Neo4j, the world's leading graph database. This book includes a lot of background information, helps you grasp the fundamental concepts behind this radical new way of dealing with connected data, and will give you lots of examples of use cases and environments where a graph database would be a great fit
Book Synopsis Machine Learning Using R by : Karthik Ramasubramanian
Download or read book Machine Learning Using R written by Karthik Ramasubramanian and published by Apress. This book was released on 2016-12-22 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examine the latest technological advancements in building a scalable machine learning model with Big Data using R. This book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data. All practical demonstrations will be explored in R, a powerful programming language and software environment for statistical computing and graphics. The various packages and methods available in R will be used to explain the topics. For every machine learning algorithm covered in this book, a 3-D approach of theory, case-study and practice will be given. And where appropriate, the mathematics will be explained through visualization in R. All the images are available in color and hi-res as part of the code download. This new paradigm of teaching machine learning will bring about a radical change in perception for many of those who think this subject is difficult to learn. Though theory sometimes looks difficult, especially when there is heavy mathematics involved, the seamless flow from the theoretical aspects to example-driven learning provided in this book makes it easy for someone to connect the dots.. What You'll Learn Use the model building process flow Apply theoretical aspects of machine learning Review industry-based cae studies Understand ML algorithms using R Build machine learning models using Apache Hadoop and Spark Who This Book is For Data scientists, data science professionals and researchers in academia who want to understand the nuances of machine learning approaches/algorithms along with ways to see them in practice using R. The book will also benefit the readers who want to understand the technology behind implementing a scalable machine learning model using Apache Hadoop, Hive, Pig and Spark.
Book Synopsis Learning Node.js Development by : Andrew Mead
Download or read book Learning Node.js Development written by Andrew Mead and published by Packt Publishing Ltd. This book was released on 2018-01-31 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, easy-to-follow guide to creating complete Node apps and understanding how to build, deploy, and test your own apps. Key Features Entirely project-based and practical Explains the "Why" of Node.js features, not just the "how", providing you with a deep understanding and enabling you to easily apply concepts in your own applications Covers the full range of technologies around Node.js – NPM, version control with Git, and much more Book Description Learning Node.js Development is a practical, project-based book that provides you with all you need to get started as a Node.js developer. Node is a ubiquitous technology on the modern web, and an essential part of any web developers' toolkit. If you are looking to create real-world Node applications, or you want to switch careers or launch a side project to generate some extra income, then you're in the right place. This book has been written around a single goal—turning you into a professional Node developer capable of developing, testing, and deploying real-world production applications. Learning Node.js Development is built from the ground up around the latest version of Node.js (version 9.x.x). You'll be learning all the cutting-edge features available only in the latest software versions. This book cuts through the mass of information available around Node and delivers the essential skills that you need to become a Node developer. It takes you through creating complete apps and understanding how to build, deploy, and test your own Node apps. It maps out everything in a comprehensive, easy-to-follow package designed to get you up and running quickly. What you will learn Learn the fundamentals of Node Build apps that respond to user input Master working with servers Learn how to test and debug applications Deploy and update your apps in the real world Create responsive asynchronous web applications Who this book is for This book targets anyone looking to launch their own Node applications, switch careers, or freelance as a Node developer. You should have a basic understanding of JavaScript in order to follow this course.
Book Synopsis Learning R for Geospatial Analysis by : Michael Dorman
Download or read book Learning R for Geospatial Analysis written by Michael Dorman and published by Packt Publishing Ltd. This book was released on 2014-12-26 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with the basic geographic information concepts (such as spatial coordinates), but no prior experience with R and/or programming is required. By focusing on R exclusively, you will not need to depend on any external software—a working installation of R is all that is necessary to begin.
Book Synopsis Geographic Information by : Wade Bishop
Download or read book Geographic Information written by Wade Bishop and published by Springer. This book was released on 2016-10-27 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The history and future of geographic information (GI) in the context of big data creates new avenues of concern over its organization, access and use. In this book the authors explore both the background and present challenges facing the preservation of GI, focusing on the roles of librarians, archivists, data scientists, and other information professionals in the creation of GI records for its organization, access, and use.
Book Synopsis Hands-On Data Visualization by : Jack Dougherty
Download or read book Hands-On Data Visualization written by Jack Dougherty and published by O'Reilly Media. This book was released on 2021-04-30 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization for All takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
Download or read book GIS written by Patrick McHaffie and published by CRC Press. This book was released on 2023-05-29 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this introductory GIS textbook is thoroughly rewritten and updated to respond to the demand for critical engagement with technologies that address relevant issues across several disciplines preparing students for higher-level work in geotechnologies. Chapters are arranged to (1) build competence in fundamental skills, (2) explore applications of higher-level managerial and analytical functions that are typically called upon in public, nonprofit, and private sector milieu, and (3) propose and detail a template for organizing, executing, and completing a GIS project successfully. This interests all users from beginners to experienced professionals. Features: Uses the latest version of ArcGIS Pro (3.0) to present a fully rewritten and updated text with diverse perspectives. Includes many real-world examples with urban planning, environmental, and social justice foci. Presents new discussions, examples, and lab materials on open-source GIS projects. Junior and senior level undergraduate students taking courses in remote sensing and GIS applications, studying in the fields of Geography, Environmental Sciences, Computer Science, Urban Studies, Public Health, and Social Disciplines, as well as researchers and academics in the same fields, will all benefit from the information provided in the updated version of this book.
Book Synopsis Learning ArcGIS Runtime SDK for .NET by : Ron Vincent
Download or read book Learning ArcGIS Runtime SDK for .NET written by Ron Vincent and published by Packt Publishing Ltd. This book was released on 2016-06-30 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build native, cross-platform mapping apps with this comprehensive and practical guide, using the MVVM pattern About This Book Enhance the user experience with the power of ArcGIS runtime SDK for .NET. This clear, well segregated book has all the information you need on ArcGIS Runtime SDK. Just name it—this book has it! This highly practical book empowers you to build your own custom application! Get to know the inner details of ArcGIS Runtime SDK from our experts, in this book written by Ron Vincent, with 24 years' experience in the GIS industry and many in GIS training. Who This Book Is For This book caters to long-term users of Esri's technologies that are new to mobile development or are transitioning from older Esri technologies such as ArcGIS Engine. It is also for users who are unfamiliar with Esri or GIS and are in need of a mapping solution for either their desktop or a mobile platform, or both. The book requires knowledge of .NET. What You Will Learn Understand and implement the MVVM pattern using MVVM Light Create and add layers from offline and online resources such as ArcGIS Online or ArcGIS for Server Create a 2D or 3D map and decide what kind of symbology to use Symbolize the layers based on the geometry Search and find objects in the layers Geocode an address and create a route using an address Edit layer objects from online content and offline content Test the application using test-driven development and then build and release the application for the intended audience In Detail ArcGIS is a geographic information system (GIS) that enables you to work with maps and geographic information. It can be used to create and utilize maps, compile geographic data, analyze mapped information, share and discover geographic information and manage geographic information in a database. This book starts by showing you where ArcGIS Runtime fits within Esri's overall platform strategy. You'll create an initial map using the SDK, then use it to get an understanding of the MVVM model. You'll find out about the different kinds of layers and start adding layers, and you'll learn to transform maps into a 3D scene. The next chapters will help you comprehend and extract information contained in the maps using co-ordinates and layer objects. Towards the end, you will learn to set the symbology, decide whether to use 2D or 3D, see how to implement 2D or 3D, and learn to search and find objects. You'll also get to grips with many other standard features of the Application Programming Interface (API), including create applications and finally testing, licensing, and deploying them. Once completed, you will be able to meet most of the common requirements of any mapping application for desktop or mobile platforms. Style and approach This comprehensive book takes a completely practical approach, where every chapter explains the important concepts and demonstrates a practical application of them in a hands-on manner.
