This book explores the newest features of JavaScript, along with who manages the process of improving JavaScript, how new features get introduced, terminology, and a high-level overview of new features. Author T.J. Crowder then looks at each new or updated item in depth, with example uses, possible pitfalls, and recommendations for updating old habits in light of new features. The book is non-platform specific, aimed at programmers working in web development, Node.js, Electron, Windows Universal Apps, or another JavaScript environment.
<ASIN:1119367956>
Author: T.J. Crowder Publisher: Wrox Date: July 2020 Pages: 260 ISBN: 978-1119367956 Print: 1119367956 Kindle: B08C9PH74Z Audience: JavaScript developers Level: Introductory/Intermediate Category: JavaScript
- Covers all the additions to JavaScript in ES2015-ES2019 plus a preview of ES2020 (and beyond)
- Explores the latest syntax: nullish coalescing, optional chaining,
let and const , class syntax, private methods, private fields, new.target , numeric separators, BigInt, destructuring, default parameters, arrow functions, async functions, await , generator functions, ... (rest and spread), template literals, binary and octal literals, ** (exponentiation), computed property/method names, for-of , for-await-of , shorthand properties, and others
- Details the new features and patterns including modules, promises, iteration, generators, Symbol, Proxy, reflection, typed arrays, Atomics, shared memory, WeakMap, WeakSet, and more
- Highlights common pitfalls and explains how to avoid them
- Shows how to follow the improvements process and even participate in the process yourself
- Explains how to use new features even before they're widely supported
For recommendations of JavaScript books see JavaScript Beginners Book Choice and Advanced JavaScript Book Choices in our Programmer's Bookshelf section.
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Mathematics for Machine Learning
Authors: Marc Peter Deisenroth, Aldo Faisal and Cheng Soon Ong Publisher: Cambridge University Press Pages: 398 ISBN: 978-1108455145 Print: 110845514X Kindle: B083M7DBP6 Audience: Developers interested in machine learning Rating: 3.5 Reviewer: Mike James Lots of people need to learn the math behind mach [ ... ]
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Machine Learning and Security
Author: Clarence Chio, David Freeman Publisher: O'Reilly Pages: 386 ISBN: 978-1491979907 Print: 1491979909 Kindle: B079C7LKKY Audience: Readers wanting novel approaches to security Rating: 3 Reviewer: Mike James
AI and security is a natural, but difficult, match.
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