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ԤJavaScript for Data Science 9780367422486 ⷿͨ3-5ܵ
Product Details Ϣ ISBN-13 9780367422486 Author Maya Gans Format 汾 ƽװ- Pages Number ҳ 238ҳ Publisher Chapman and Hall/CRC Publication Date 2020-02-07 Language Ӣ Book Contents ݼ JavaScript is the native language of the Internet. Originally created to make web pages more dynamic, it is now used for software projects of all kinds, including scientific visualization and data services. However, most data scientists have little or no experience with JavaScript, and most introductions to the language are written for people who want to build shopping carts rather than share maps of coral reefs.This book will introduce you to JavaScripts power and idiosyncrasies and guide you through the key features of the language and its tools and libraries. The book places equal focus on client- and server-side programming, and shows readers how to create interac
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JavaScriptרұ Mark Daggett ʵ硾鼮 ٿƱۺ֧7˻
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Product Details Ϣ ISBN-13 9781484239872 Author Sammie Bae Format 汾 ƽװ- Pages Number ҳ 357ҳ Publisher Apress Publication Date 2019-01-24 Language Ӣ Book Contents ݼ Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions. Youll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. Youll also learn how a URL shortener, such as bit.ly, is developed and what is happening to the data as a PDF is uploaded to a webpage. This book covers the practical applications of data structures and algorithms to encryption, searching, sorting, and pattern matching. It is crucial for JavaScript developers to understand how dat
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ԤJavascript for R 9780367680640 ⷿͨ3-5ܵ
Product Details Ϣ ISBN-13 9780367680640 Author Coene Format 汾 װ Pages Number ҳ 332ҳ Publisher CRC Press Publication Date 2021-07-19 Language Book Contents ݼ Little known to many, R works just as well with JavaScriptthis book delves into the various ways both languages can work together. The ultimate aim of this work is to put the reader at ease with inviting JavaScript in their data science workflow. In that respect the book is not teaching one JavaScript but rather we show how little JavaScript can greatly support and enhance R code. Therefore, the focus is on integrating external JavaScript libraries and no prior knowledge of JavaScript is required. Key Features:? Easy to pick up. ? An entry way to learning JavaScript for R. ? Covers topics not covered anywhere else. ? Easy to follow along.
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Product Details Ϣ ISBN-13 9781800562523 Author Laurence Svekis | Alex Andrei | Maaike van Putten Format 汾 ƽװ- Pages Number ҳ 546ҳ Publisher Packt Publishing Publication Date 2021-10-09 Language Book Contents ݼ This book dong dong dong dong dong dong dong dong dong dong dong dong dong dong dong dong dong dong dong dong dong dong
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