The Visual Display of Quantitative Information(Second Edition)

Mastering TypeScript - Second Edition by Nathan Rozentals English | 6 Mar. 2017 | ISBN: 1786468719 | 651 Pages | EPUB/PDF (conv) | 12.4 MB Key Features Start with the basics, then enhance your knowledge with in-depth discussions on language features, third-party libraries, design patterns and more Practical examples that show how to use TypeScript with popular frameworks, including Backbone, Angular 2, React, Aurelia, Node and others Focus on test-driven development to build high quality applications that are modular, scalable and adaptable Book Description The TypeScript language, compiler and open-source development toolset brings JavaScript development up to the enterprise level. It allows us to use ES5, ES6 and ES7 JavaScript language features today - including classes, interfaces, generics, modules and more. It's simple typing syntax enables building large, robust applications using object-oriented techniques and industry standard design principles. Packed with practical, real-world examples, this book is a guide to bringing the benefits of strongly typed, object-oriented programming and design principles into the JavaScript development space. Starting with core language features, and working through more advanced topics such as generics and asynchronous programming techniques, you will learn how to gain maximum benefit from your JavaScript development with TypeScript. With a strong focus on test-driven development, and coverage of many popular and in-demand JavaScript frameworks, you can fast-track your TypeScript knowledge to a professional level. By the end of this book, you will be able to confidently build TypeScript applications, whether you are targeting Angular 2, Aurelia, React, Backbone, Node or any other JavaScript framework. What you will learn Gain an insight into core and advanced TypeScript language features including inheritance, generics, asynchronous programming techniques, promises, decorators and more Integrate your existing JavaScrip

QGIS Python Programming Cookbook - Second Edition by Joel Lawhead English | 14 Mar. 2017 | ASIN: B01MRP7T3B | 464 Pages | AZW3 | 9.26 MB Master over 170 recipes that will help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework About This Book Delve into the undocumented features of the QGIS API Get a set of user-friendly recipes that can automate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes This book has a complete code upgrade to QGIS 2.18 and 30 new, valuable recipes Who This Book Is For This book is for geospatial analysts who want to learn more about automating everyday GIS tasks as well as programmers responsible for building GIS applications. The short, reusable recipes make concepts easy to understand and combine so you can build larger applications that are easy to maintain. What You Will Learn Use Python and QGIS to produce captivating GIS visualizations and build complex map layouts Find out how to effectively use the poorly-documented and undocumented features of the QGIS Python API Automate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes Create, import, and edit geospatial data on disk or in-memory Change QGIS settings programmatically to control default behavior Automatically generate PDF map books Build dynamic forms for field input In Detail QGIS is a desktop geographic information system that facilitates data viewing, editing, and analysis. Paired with the most efficient scripting language—Python, we can write effective scripts that extend the core functionality of QGIS. Based on version QGIS 2.18, this book will teach you how to write Python code that works with spatial data to automate geoprocessing tasks in QGIS. It will cover topics such as querying and editing vector data and using raster data. You will also learn to create, edit, and optimize a vector layer for faster queries, reproject a vector layer, reduce the number of vertices in a vector layer without losing critical data, and convert a raster to a vector. Following this, you will work through recipes that will help you compose static maps, create heavily customized maps, and add specialized labels and annotations. As well as this, we'll also share a few tips and tricks based on different aspects of QGIS. Style and approach This book follows a recipe-based problem-solution approach to address and dispel challenges faced when implementing and using QGIS on a regular basis.

earning Data Mining with Python - Second Edition by Robert Layton English | 4 May 2017 | ASIN: B01MRP7VFV | 358 Pages | AZW3 | 2.85 MB Key Features Use a wide variety of Python libraries for practical data mining purposes. Learn how to find, manipulate, analyze, and visualize data using Python. Step-by-step instructions on data mining techniques with Python that have real-world applications. Book Description This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK. You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now. With restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining and understanding of the algorithms as well as implementations. What you will learn Apply data mining concepts to real-world problems Predict the outcome of sports matches based on past results Determine the author of a document based on their writing style Use APIs to download datasets from social media and other online services Find and extract good features from difficult datasets Create models that solve real-world problems Design and develop data mining applications using a variety of datasets Perform object detection in images using Deep Neural Networks Find meaningful insights from your data through intuitive visualizations Compute on big data, including real-time data from the internet About the Author Robert Layton is a data scientist working mainly on text mining problems for industries incl

Encyclopedia of Machine Learning and Data Mining, Second Edition By Claude Sammut, Geoffrey I. Webb English | PDF | 2017 | 1341 Pages | ISBN : 148997685X | 30.82 MB This authoritative, expanded and updated second edition of Encyclopedia of Machine Learning and Data Mining provides easy access to c

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无线通信的射频功放第二版完整版电子书，Steve C.Cripps编写，2006 ARTECH HOUSE, INC.给需要了解功放的朋友们

Embedded Linux Development Using Yocto Project Cookbook Second Edition 第二版

Addison-Wesley, Inc., 2000. ISBN 0-201-65788-0. 239 + xi pp. $24.95 This book is a collection of essays about a glamorous aspect of software: programming pearls whose origins lie beyond solid engineering, in the realm of insight and creativity. This book provides a guide for both students and experienced programmers about how to design and create programs, and how to think about programming. The book is full of small case studies, real examples, and interesting exercises for learning about how to program. This web page contains samples from the whole work for you to investigate. For teachers, the links below lead to some of the central material suitable for classroom use. Steve McConnell describes the book as ``a celebration of design in the small''. Browse this site to sample it yourself.

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