Data Wrangling With Javascript

Author : Ashley Davis
Publisher : Simon and Schuster
ISBN 13 : 1638351139
Total Pages : 657 pages
Book Rating : 4.39/5 ( download)

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Download or read book Data Wrangling with JavaScript written by Ashley Davis and published by Simon and Schuster. This book was released on 2018-12-02 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Data Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Why not handle your data analysis in JavaScript? Modern libraries and data handling techniques mean you can collect, clean, process, store, visualize, and present web application data while enjoying the efficiency of a single-language pipeline and data-centric web applications that stay in JavaScript end to end. About the Book Data Wrangling with JavaScript promotes JavaScript to the center of the data analysis stage! With this hands-on guide, you'll create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. You'll also build interactive visualizations and deploy your apps to production. Each valuable chapter provides a new component for your reusable data wrangling toolkit. What's inside Establishing a data pipeline Acquisition, storage, and retrieval Handling unusual data sets Cleaning and preparing raw dataInteractive visualizations with D3 About the Reader Written for intermediate JavaScript developers. No data analysis experience required. About the Author Ashley Davis is a software developer, entrepreneur, author, and the creator of Data-Forge and Data-Forge Notebook, software for data transformation, analysis, and visualization in JavaScript. Table of Contents Getting started: establishing your data pipeline Getting started with Node.js Acquisition, storage, and retrieval Working with unusual data Exploratory coding Clean and prepare Dealing with huge data files Working with a mountain of data Practical data analysis Browser-based visualization Server-side visualization Live data Advanced visualization with D3 Getting to production

Author : Jacqueline Kazil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491948779
Total Pages : 508 pages
Book Rating : 4.74/5 ( download)

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Download or read book Data Wrangling with Python written by Jacqueline Kazil and published by "O'Reilly Media, Inc.". This book was released on 2016-02-04 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process

Author : Tom Hughes-Croucher
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449336957
Total Pages : 203 pages
Book Rating : 4.50/5 ( download)

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Download or read book Node: Up and Running written by Tom Hughes-Croucher and published by "O'Reilly Media, Inc.". This book was released on 2012-04-23 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces you to Node, the new web development framework written in JavaScript. You'll learn hands-on how Node makes life easier for experienced JavaScript developers: not only can you work on the front end and back end in the same language, you'll also have more flexibility in choosing how to divide application logic between client and server. Written by a core contributor to the framework, Node: Up and Running shows you how Node scales up to support large numbers of simultaneous connections across multiple servers, and scales down to let you create quick one-off applications with minimal infrastructure. Built on the V8 JavaScript engine that runs Google Chrome, Node is already winning the hearts and minds of many companies, including Google and Yahoo! This book shows you why. Understand Node's event-loop architecture, non-blocking I/O, and event-driven programming Discover how Node supports a variety of database and data storage tools Learn best practices for writing easy-to-maintain code for Node Get concrete examples of how to use the various Node APIs in practice Take advantage of the book’s complete API reference

Author : Rising Odegua
Publisher : Packt Publishing Ltd
ISBN 13 : 1801078416
Total Pages : 477 pages
Book Rating : 4.12/5 ( download)

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Download or read book Building Data-Driven Applications with Danfo.js written by Rising Odegua and published by Packt Publishing Ltd. This book was released on 2021-09-24 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get hands-on with building data-driven applications using Danfo.js in combination with other data analysis tools and techniques Key FeaturesBuild microservices to perform data transformation and ML model serving in JavaScriptExplore what Danfo.js is and how it helps with data analysis and data visualizationCombine Danfo.js and TensorFlow.js for machine learningBook Description Most data analysts use Python and pandas for data processing for the convenience and performance these libraries provide. However, JavaScript developers have always wanted to use machine learning in the browser as well. This book focuses on how Danfo.js brings data processing, analysis, and ML tools to JavaScript developers and how to make the most of this library to build data-driven applications. Starting with an overview of modern JavaScript, you'll cover data analysis and transformation with Danfo.js and Dnotebook. The book then shows you how to load different datasets, combine and analyze them by performing operations such as handling missing values and string manipulations. You'll also get to grips with data plotting, visualization, aggregation, and group operations by combining Danfo.js with Plotly. As you advance, you'll create a no-code data analysis and handling system and create-react-app, react-table, react-chart, Draggable.js, and tailwindcss, and understand how to use TensorFlow.js and Danfo.js to build a recommendation system. Finally, you'll build a Twitter analytics dashboard powered by Danfo.js, Next.js, node-nlp, and Twit.js. By the end of this app development book, you'll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser. What you will learnPerform data experimentation and analysis with Danfo.js and DnotebookBuild machine learning applications using Danfo.js integrated with TensorFlow.jsConnect Danfo.js with popular database applications to aid data analysisCreate a no-code data analysis and handling system using internal librariesDevelop a recommendation system with Danfo.js and TensorFlow.jsBuild a Twitter analytics dashboard for sentiment analysis and other types of data insightsWho this book is for This book is for data analysts, data scientists, and JavaScript developers who want to create data-driven applications in the JavaScript/Node.js environment. Intermediate-level knowledge of JavaScript programming and data science using pandas is expected.

Author : Jim Wilson
Publisher : Pragmatic Bookshelf
ISBN 13 : 168050536X
Total Pages : 454 pages
Book Rating : 4.68/5 ( download)

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Download or read book Node.js 8 the Right Way written by Jim Wilson and published by Pragmatic Bookshelf. This book was released on 2018-01-04 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Node.js is the platform of choice for creating modern web services. This fast-paced book gets you up to speed on server-side programming with Node.js 8, as you develop real programs that are small, fast, low-profile, and useful. Take JavaScript beyond the browser, explore dynamic language features, and embrace evented programming.Harness the power of the event loop and non-blocking I/O to create highly parallel microservices and applications. This expanded and updated second edition showcases the latest ECMAScript features, current best practices, and modern development techniques. JavaScript is the backbone of the modern web, powering nearly every web app's user interface. Node.js is JavaScript for the server. This greatly expanded second edition introduces new language features while dramatically increasing coverage of core topics. Each hands-on chapter offers progressively more challenging topics and techniques, broadening your skill set and enabling you to think in Node.js. Write asynchronous, non-blocking code using Node.js's style and patterns. Cluster and load balance services with Node.js core features and third-party tools. Harness the power of databases such as Elasticsearch and Redis. Work with many protocols, create RESTful web services, TCP socket clients and servers, and more. Test your code's functionality with Mocha, and manage its life cycle with npm. Discover how Node.js pairs a server-side event loop with a JavaScript runtime to produce screaming fast, non-blocking concurrency. Through a series of practical programming domains, use the latest available ECMAScript features and harness key Node.js classes and popular modules. Create rich command-line tools and a web-based UI using modern web development techniques. Join the smart and diverse community that's rapidly advancing the state of the art in JavaScript development. What You Need: Node.js 8.x Operating system with bash-like shell OMQ (pronounced "Zero-M-Q") library, version 3.2 or higher Elasticsearch version 5.0 or higher jq version 1.5 or higher Redis version 3.2 or higher

Author : John Resig
Publisher : Manning
ISBN 13 : 9781933988696
Total Pages : 0 pages
Book Rating : 4.9X/5 ( download)

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Download or read book Secrets of the JavaScript Ninja written by John Resig and published by Manning. This book was released on 2013-01-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Secrets of the Javascript Ninja takes you on a journey towards mastering modern JavaScript development in three phases: design, construction, and maintenance. Written for JavaScript developers with intermediate-level skills, this book will give you the knowledge you need to create a cross-browser JavaScript library from the ground up. About this Book You can't always attack software head-on. Sometimes youcome at it sideways or sneak up from behind. You need tomaster an arsenal of tools and know every stealthy trick.You have to be a ninja. Secrets of the JavaScript Ninja leads you down the pathway toJavaScript enlightenment. This unique book starts with keyconcepts, like the relationships between functions, objects, andclosures, taught from the master's perspective. You'll grow fromapprentice to ninja as you soak up fresh insights on the techniquesyou use every day and discover features and capabilities you neverknew about. When you reach the final chapters, you'll be ready tocode brilliant JavaScript applications and maybe even write yourown libraries and frameworks. You don't have to be a ninja to read this book—just be willing tobecome one. Are you ready? Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside Functions, objects, closures, regular expressions, and more Seeing applications and libraries from the right perspective Dealing with the complexities of cross-browser development Modern JavaScript design About the Authors John Resig is an acknowledged JavaScript authority and the creatorof the jQuery library. Bear Bibeault is a web developer and coauthorof Ajax in Practice, Prototype and Scriptaculous in Action, and jQueryin Action from Manning. Table of Contents PART 1 PREPARING FOR TRAINING Enter the ninja Arming with testing and debugging PART 2 APPRENTICE TRAINING Functions are fundamental Wielding functions Closing in on closures Object-orientation with prototypes Wrangling regular expressions Taming threads and timers PART 3 NINJA TRAINING Ninja alchemy: runtime code evaluation With statements Developing cross-browser strategies Cutting through attributes, properties, and CSS PART 4 MASTER TRAINING Surviving events Manipulating the DOM CSS selector engines

Author : Kyran Dale
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491920548
Total Pages : 581 pages
Book Rating : 4.41/5 ( download)

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Download or read book Data Visualization with Python and JavaScript written by Kyran Dale and published by "O'Reilly Media, Inc.". This book was released on 2016-06-30 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript libraries—including Scrapy, Matplotlib, Pandas, Flask, and D3—for crafting engaging, browser-based visualizations. As a working example, throughout the book Dale walks you through transforming Wikipedia’s table-based list of Nobel Prize winners into an interactive visualization. You’ll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScript’s D3 library. If you’re ready to create your own web-based data visualizations—and know either Python or JavaScript— this is the book for you. Learn how to manipulate data with Python Understand the commonalities between Python and JavaScript Extract information from websites by using Python’s web-scraping tools, BeautifulSoup and Scrapy Clean and explore data with Python’s Pandas, Matplotlib, and Numpy libraries Serve data and create RESTful web APIs with Python’s Flask framework Create engaging, interactive web visualizations with JavaScript’s D3 library

Author : Michael Morrison
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449368573
Total Pages : 898 pages
Book Rating : 4.79/5 ( download)

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Download or read book Head First JavaScript written by Michael Morrison and published by "O'Reilly Media, Inc.". This book was released on 2007-12-20 with total page 898 pages. Available in PDF, EPUB and Kindle. Book excerpt: So you're ready to make the leap from writing HTML and CSS web pages to creating dynamic web applications. You want to take your web skills to the next level. And you're finally ready to add "programmer" to the resume. It sounds like you're ready to learn the Web's hottest programming language: JavaScript. Head First JavaScript is your ticket to going beyond copying and pasting the code from someone else's web site, and writing your own interactive web pages. With Head First JavaScript, you learn: The basics of programming, from variables to types to looping How the web browser runs your code, and how you can talk to the browser with your code Why you'll never have to worry about casting, overloading, or polymorphism when you're writing JavaScript code How to use the Document Object Model to change your web pages without making your users click buttons If you've ever read a Head First book, you know what to expect -- a visually rich format designed for the way your brain works. Head First JavaScript is no exception. It starts where HTML and CSS leave off, and takes you through your first program into more complex programming concepts -- like working directly with the web browser's object model and writing code that works on all modern browsers. Don't be intimidated if you've never written a line of code before! In typical Head First style, Head First JavaScript doesn't skip steps, and we're not interested in having you cut and paste code. You'll learn JavaScript, understand it, and have a blast along the way. So get ready... dynamic and exciting web pages are just pages away.

Author : Jake VanderPlas
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491912138
Total Pages : 743 pages
Book Rating : 4.33/5 ( download)

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Download or read book Python Data Science Handbook written by Jake VanderPlas and published by "O'Reilly Media, Inc.". This book was released on 2016-11-21 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Author : Jonathan Chaffer
Publisher : Packt Publishing Ltd
ISBN 13 : 1782163158
Total Pages : 678 pages
Book Rating : 4.52/5 ( download)

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Download or read book Learning jQuery - Fourth Edition written by Jonathan Chaffer and published by Packt Publishing Ltd. This book was released on 2013-01-01 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step through each of the core concepts of the jQuery library, building an overall picture of its capabilities. Once you have thoroughly covered the basics, the book returns to each concept to cover more advanced examples and techniques.This book is for web designers who want to create interactive elements for their designs, and for developers who want to create the best user interface for their web applications. Basic JavaScript programming and knowledge of HTML and CSS is required. No knowledge of jQuery is assumed, nor is experience with any other JavaScript libraries.