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Merge branch 'main' of github.com:CodingTrain/thecodingtrain.com
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‎content/tracks/side-tracks/mastodon/index.json

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"mastodon/replying-to-a-mention",
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"mastodon/what-is-node-js",
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"mastodon/what-is-npm",
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"workflow/5-node"
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"workflow/5-node",
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"challenges/118-mastodon-fractal-tree-bot"
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]
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}

‎content/videos/challenges/118-mastodon-fractal-tree-bot/index.jpg

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‎content/videos/challenges/118-mastodon-fractal-tree-bot/index.json

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{
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"title": "Mastodon Fractal Tree Bot",
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"description": "In part 1 of this coding challenge, I create a node.js Mastodon bot that posts images (fractal trees) generated with Processing code. In part 2, I revise the node.js Mastodon bot to post images (fractal trees) in response to user mentions.",
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"videoNumber": "118",
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"date": "2018-10-16",
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"languages": ["Processing", "JavaScript", "Java", "Node.js", "command-line interface (CLI)"],
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"topics": ["Mastodon", "bots", "fractals"],
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"canContribute": true,
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"relatedChallenges": [
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"174-graphics-applesoft-basic",
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"14-fractal-trees-recursive",
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"15-object-oriented-fractal-trees",
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"18-3d-fractal-trees"
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],
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"timestamps": [],
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"parts": [
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{
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"title": "Part 1 - Creating fractal tree images and posting them with a Mastodon bot",
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"videoId": "luxczHFn1rU",
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"timestamps": [
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{ "time": "0:00", "title": "Introduction" },
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{ "time": "0:52", "title": "Inspiration for the challenge" },
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{ "time": "1:06", "title": "Generate a random fractal tree image with Processing" },
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{ "time": "2:48", "title": "How can Node.js and Processing communicate?" },
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{ "time": "3:50", "title": "Calling a Processing sketch from the command line" },
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{ "time": "6:10", "title": "Using Node.js to execute the sketch" },
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{ "time": "9:00", "title": "Async with promises" },
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{ "time": "11:57", "title": "Reading stdout value" },
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{ "time": "13:50", "title": "Use `mastodon-api` to POST the image" },
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{ "time": "21:40", "title": "Refactor promises chain to async/await" },
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{ "time": "25:20", "title": "Reference the image in a new status" },
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{ "time": "30:07", "title": "Extract the angle value from stdout" },
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{ "time": "33:00", "title": "Make the bot post at a predetermined interval" },
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{ "time": "36:30", "title": "Hosting and Part 2 tutorial teaser" }
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]
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},
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{
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"title": "Part 2 - Revising the bot to reply to user mentions",
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"videoId": "PUPWPjjkNqQ",
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"timestamps": [
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{ "time": "0:00", "title": "Introduction" },
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{ "time": "0:30", "title": "Change the code" },
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{ "time": "1:00", "title": "Why Mastodon" },
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{ "time": "1:40", "title": "Streaming API" },
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{ "time": "2:50", "title": "Looking up previous code" },
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{ "time": "4:00", "title": "Adding new code" },
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{ "time": "6:00", "title": "Regular expressions" },
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{ "time": "10:00", "title": "Testing" },
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{ "time": "11:00", "title": "Adding an angle" },
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{ "time": "13:00", "title": "Adding arguments" }
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]
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}
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],
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"codeExamples": [
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{
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"title": "Source code",
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"description": "Mastodon bot and fractal tree generator source code",
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"urls": {
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"node": "https://github.com/CodingTrain/Mastodon-Bot"
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}
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}
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],
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"groupLinks": [
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{
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"title": "References",
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"links": [
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{
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"icon": "🔗",
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"title": "Lowpoly Bot",
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"url": "https://twitter.com/lowpolybot",
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"description": "A Twitter bot by @Quasimondo that creates random low-polygon versions of pictures it receives."
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},
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{
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"icon": "🔗",
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"title": "Node.js",
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"url": "https://nodejs.org/en",
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"description": "Documentation about Node.js, a open-source JavaScript runtime environment."
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},
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{
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"icon": "🔗",
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"title": "Mastodon",
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"url": "https://mastodon.social/about",
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"description": "A decentralized social media powered by Mastodon"
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},
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{
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"icon": "🔗",
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"title": "Mastodon API on npm",
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"url": "https://www.npmjs.com/package/mastodon-api",
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"description": "A Mastodon API Client for node"
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},
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{
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"icon": "🔗",
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"title": "The 'procesing-java' command",
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"url": "https://github.com/processing/processing/wiki/Command-Line",
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"description": "Running Processing sketches from the command line"
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}
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]
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},
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{
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"title": "Videos",
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"links": [
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{
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"icon": "🎥",
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"title": "What is Mastodon?",
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"url": "/tracks/mastodon/mastodon/what-is-mastodon",
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"description": "My track on the social media API Mastodon."
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}
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]
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}
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],
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"credits": [
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{ "title": "Editing", "name": "Mathieu Blanchette" },
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{ "title": "Animations", "name": "Jason Heglund" }
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]
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}

‎content/videos/challenges/118-mastodon-fractal-tree-bot/showcase/contribution1.json

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{
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"title": "Polite circles-maker bot",
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"url": "https://github.com/raynauds/mastodon-bot",
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"author": {
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"name": "Sébastien Raynaud",
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"url": "https://twitter.com/Chopokopx"
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},
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"submittedOn": "2018-11-12"
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}

‎content/videos/challenges/118-mastodon-fractal-tree-bot/showcase/contribution1.png

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‎content/videos/challenges/65-binary-tree/index.json

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{
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"icon": "📘",
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"title": "Grokking Algorithms book",
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"url": "https://amzn.to/2mMCK7Z",
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"url": "https://amzn.to/4ewHv0i",
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"description": "Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems."
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},
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{

‎content/videos/challenges/76-10Print/index.json

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},
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{
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"icon": "📕",
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"title": "The 10Print Book",
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"url": "https://amzn.to/2wJlRVx",
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"description": "Amazon link for the book"
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"title": "10 Print Chr$205.5+rnd1: Goto 10 (Software Studies)",
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"url": "https://amzn.to/4ewmWkA",
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"description": "This book explores a single line of BASIC code for the Commodore 64 and its cultural impact on computing and art."
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},
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{
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"icon": "🎨",

‎content/videos/challenges/77-recursion/index.json

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"icon": "📙",
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"title": "The Fractal Geometry of Nature",
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"description": "The essential guide that introduced fractals to the world by Benoit Mandlebrot",
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"url": "https://amzn.to/2xiVwht"
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"url": "https://amzn.to/3BzxDEi"
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}
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]
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},

‎content/videos/neural-networks/1-introduction/index.json

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{
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"icon": "🔗",
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"title": "Make Your Own Neural Network",
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"url": "https://www.amazon.com/Make-Your-Own-Neural-Network-ebook/dp/B01EER4Z4G",
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"url": "https://amzn.to/3BA9Jss",
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"description": "Reference book by Tariq Rashid"
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},
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{
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"icon": "🔗",
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"title": "Perceptrons",
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"url": "https://www.amazon.com/Perceptrons-Introduction-Computational-Geometry-Expanded/dp/0262631113",
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"url": "https://amzn.to/3TZl0IX",
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"description": "Reference book on perceptrons by Marvin Minsky."
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},
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{

‎content/videos/neural-networks/12-feedforward-algorithm-part-1/index.json

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{
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"icon": "🔗",
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"title": "Make Your Own Neural Network",
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"url": "https://www.amazon.com/Make-Your-Own-Neural-Network-ebook/dp/B01EER4Z4G",
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"url": "https://amzn.to/3BA9Jss",
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"description": "Reference book by Tariq Rashid"
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}
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]

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