{"id":606557,"date":"2025-07-10T06:00:00","date_gmt":"2025-07-10T11:00:00","guid":{"rendered":"https:\/\/towardsdatascience.com\/?p=606557"},"modified":"2025-07-11T13:13:50","modified_gmt":"2025-07-11T18:13:50","slug":"worried-about-ai-use-it-to-your-advantage","status":"publish","type":"post","link":"https:\/\/towardsdatascience.com\/worried-about-ai-use-it-to-your-advantage\/","title":{"rendered":"Worried About AI? Use It to Your Advantage"},"content":{"rendered":"\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\" id=\"block-9cabe886-7067-4fbb-84ee-04adf6e83eae\">Never miss a new edition of <em>The Variable<\/em>, our weekly newsletter featuring a top-notch selection of editors&#8217; picks, deep dives, community news, and more.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/newsletter.towardsdatascience.com\/subscription-to-the-newsletter\">Subscribe today<\/a><\/div>\n<\/div>\n<\/blockquote>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">The debate around AI&#8217;s impact on\u00a0<a href=\"https:\/\/towardsdatascience.com\/tag\/career-advice\/\" target=\"_blank\" rel=\"noreferrer noopener\">tech careers<\/a>\u00a0has been polarizing\u2014to put it very,\u00a0<em>very<\/em>\u00a0mildly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The utopians are pointing towards a future where data scientists and programmers can focus on management, strategy, and deep thinking, instead of on boring, repetitive tasks.&nbsp;The pessimists, meanwhile, are dreading a future in which there are no more data scientists and programmers.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This week, we invite you to explore the space between these positions and the opportunities that arise amid uncertainty. The articles we&#8217;ve selected suggest that we can harness AI&#8217;s power to become better and more effective at our jobs\u2014while foregrounding the qualities that make humans irreplaceable.&nbsp;<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dotted\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Become a Better Data Scientist with These Prompt Engineering Tips and Tricks<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;I see prompt engineering as a superpower,&#8221; says\u00a0<a href=\"https:\/\/towardsdatascience.com\/author\/saranobregafn\/\" target=\"_blank\" rel=\"noreferrer noopener\">Sara Nobrega<\/a>\u2014one that enables smarter work and substantial time savings for junior and seasoned data professionals alike. In the first part of her new series, Sara unpacks the benefits of prompt engineering during the EDA (exploratory data analysis) process.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"1RRDlwCalb\"><a href=\"https:\/\/towardsdatascience.com\/become-a-better-data-scientist-with-these-prompt-engineering-hacks\/\">Become a Better Data Scientist with These Prompt Engineering Tips and Tricks<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Become a Better Data Scientist with These Prompt Engineering Tips and Tricks&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/become-a-better-data-scientist-with-these-prompt-engineering-hacks\/embed\/#?secret=zqigAba9qW#?secret=1RRDlwCalb\" data-secret=\"1RRDlwCalb\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Rethinking Data Science Interviews in the Age of AI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Yu Dong makes a compelling case for an AI-informed hiring process, and explains how candidates can use new tools to showcase their skills.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"cek6DJrE9P\"><a href=\"https:\/\/towardsdatascience.com\/rethinking-data-science-interviews-in-the-age-of-ai\/\">Rethinking Data Science Interviews in the Age of AI<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Rethinking Data Science Interviews in the Age of AI&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/rethinking-data-science-interviews-in-the-age-of-ai\/embed\/#?secret=L5hnbR0AUZ#?secret=cek6DJrE9P\" data-secret=\"cek6DJrE9P\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Your Personal Analytics Toolbox<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">With the aid of the open-source MCP (model context protocol), Mariya Mansurova believes data scientists stand to make their work more streamlined\u2014and more interesting.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"i20ZmAPAH7\"><a href=\"https:\/\/towardsdatascience.com\/your-personal-analytics-toolbox\/\">Your Personal Analytics Toolbox<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Your Personal Analytics Toolbox&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/your-personal-analytics-toolbox\/embed\/#?secret=H0IkloDkEt#?secret=i20ZmAPAH7\" data-secret=\"i20ZmAPAH7\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dotted\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">This Week&#8217;s Must-Read Stories<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Catch up on the articles our community has been buzzing about in recent days:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/towardsdatascience.com\/lessons-learned-after-6-5-years-of-machine-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\">Lessons Learned After 6.5 Years Of Machine Learning<\/a>, by Pascal Janetzky<br>Covering deep work, trends, data, and research.\u00a0<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"20rVzxA5WC\"><a href=\"https:\/\/towardsdatascience.com\/lessons-learned-after-6-5-years-of-machine-learning\/\">Lessons Learned After 6.5 Years Of Machine Learning<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Lessons Learned After 6.5 Years Of Machine Learning&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/lessons-learned-after-6-5-years-of-machine-learning\/embed\/#?secret=Ys4JageVCm#?secret=20rVzxA5WC\" data-secret=\"20rVzxA5WC\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/towardsdatascience.com\/software-engineering-in-the-llm-era\/\" target=\"_blank\" rel=\"noreferrer noopener\">Software Engineering in the LLM Era<\/a>, by Stephanie Kirmer<br>On growing new software engineers, even when it\u2019s inefficient.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"CbCmPiVCx0\"><a href=\"https:\/\/towardsdatascience.com\/software-engineering-in-the-llm-era\/\">Software Engineering in the LLM Era<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Software Engineering in the LLM Era&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/software-engineering-in-the-llm-era\/embed\/#?secret=dJal3a5Mj0#?secret=CbCmPiVCx0\" data-secret=\"CbCmPiVCx0\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/towardsdatascience.com\/an-introduction-to-remote-model-context-protocol-servers\/\" target=\"_blank\" rel=\"noreferrer noopener\">An Introduction to Remote Model Context Protocol Servers<\/a>, by Thomas Reid<br>How to write, test, and use them effectively.\u00a0<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"oWg4PFEvRj\"><a href=\"https:\/\/towardsdatascience.com\/an-introduction-to-remote-model-context-protocol-servers\/\">An Introduction to Remote Model Context Protocol Servers<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;An Introduction to Remote Model Context Protocol Servers&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/an-introduction-to-remote-model-context-protocol-servers\/embed\/#?secret=qUIX2EKsov#?secret=oWg4PFEvRj\" data-secret=\"oWg4PFEvRj\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dotted\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Other Recommended Reads<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Explore a few more standout articles we published recently \u2014 they cover timely topics like bias in LLMs, scalable AI, and freelancing as a data scientist:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/towardsdatascience.com\/stop-chasing-efficiency-ai-the-real-value-is-in-opportunity-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Stop Chasing \u201cEfficiency AI.\u201d The Real Value Is in \u201cOpportunity AI.\u201d<\/a>, by Shreshth Sharma<br>Companies pursuing incremental productivity gains risk being displaced by AI-native competitors building entirely new business models.\u00a0<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"AzCOtUEKy8\"><a href=\"https:\/\/towardsdatascience.com\/stop-chasing-efficiency-ai-the-real-value-is-in-opportunity-ai\/\">Stop Chasing \u201cEfficiency AI.\u201d The Real Value Is in \u201cOpportunity AI.\u201d<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Stop Chasing \u201cEfficiency AI.\u201d The Real Value Is in \u201cOpportunity AI.\u201d&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/stop-chasing-efficiency-ai-the-real-value-is-in-opportunity-ai\/embed\/#?secret=4bdNggZVwL#?secret=AzCOtUEKy8\" data-secret=\"AzCOtUEKy8\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/towardsdatascience.com\/a-developers-guide-to-building-scalable-ai-workflows-vs-agents\/\" target=\"_blank\" rel=\"noreferrer noopener\">A Developer\u2019s Guide to Building Scalable AI: Workflows vs Agents<\/a>, by Hailey Quach<br>Understanding the architectural trade-offs between autonomous agents and orchestrated workflows.\u00a0<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"bw5TgEMYuz\"><a href=\"https:\/\/towardsdatascience.com\/a-developers-guide-to-building-scalable-ai-workflows-vs-agents\/\">A Developer\u2019s Guide to Building Scalable AI: Workflows vs Agents<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;A Developer\u2019s Guide to Building Scalable AI: Workflows vs Agents&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/a-developers-guide-to-building-scalable-ai-workflows-vs-agents\/embed\/#?secret=n1tQH6niTV#?secret=bw5TgEMYuz\" data-secret=\"bw5TgEMYuz\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/towardsdatascience.com\/what-i-learned-in-my-first-18-months-as-a-freelance-data-scientist-the-taxes-and-health-insurance-edition\/\" target=\"_blank\" rel=\"noreferrer noopener\">What I Learned in my First 18 Months as a Freelance Data Scientist<\/a>, by CJ Sullivan<br>The taxes and health insurance edition.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"CpkMTAkxlm\"><a href=\"https:\/\/towardsdatascience.com\/what-i-learned-in-my-first-18-months-as-a-freelance-data-scientist-the-taxes-and-health-insurance-edition\/\">What I Learned in my First 18 Months as a Freelance Data Scientist<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;What I Learned in my First 18 Months as a Freelance Data Scientist&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/what-i-learned-in-my-first-18-months-as-a-freelance-data-scientist-the-taxes-and-health-insurance-edition\/embed\/#?secret=xFUYBbtVJ5#?secret=CpkMTAkxlm\" data-secret=\"CpkMTAkxlm\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/towardsdatascience.com\/fairness-pruning-precision-surgery-to-reduce-bias-in-llms\/\" target=\"_blank\" rel=\"noreferrer noopener\">Fairness Pruning: Precision Surgery to Reduce Bias in LLMs<\/a>, by Pere Martra<br>From unjustified shootings to neutral stories: how to fix toxic narratives with selective pruning.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"mbt7se8skJ\"><a href=\"https:\/\/towardsdatascience.com\/fairness-pruning-precision-surgery-to-reduce-bias-in-llms\/\">Fairness Pruning: Precision Surgery to Reduce Bias in\u00a0LLMs<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Fairness Pruning: Precision Surgery to Reduce Bias in\u00a0LLMs&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/fairness-pruning-precision-surgery-to-reduce-bias-in-llms\/embed\/#?secret=TfqNfZkEyF#?secret=mbt7se8skJ\" data-secret=\"mbt7se8skJ\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/towardsdatascience.com\/data-science-from-school-to-work-part-v\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Science: From School to Work, Part V<\/a>, by Vincent Margot<br>A popular series comes to a close with a guide to profiling your Python project.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"WmGK83gNqa\"><a href=\"https:\/\/towardsdatascience.com\/data-science-from-school-to-work-part-v\/\">Data Science: From School to Work, Part V<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Data Science: From School to Work, Part V&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/data-science-from-school-to-work-part-v\/embed\/#?secret=ZlMBcxOLZS#?secret=WmGK83gNqa\" data-secret=\"WmGK83gNqa\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dotted\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Meet Our New Authors<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Discover top-notch work from some of our recently added contributors:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/towardsdatascience.com\/author\/dave-flynn\/\" target=\"_blank\" rel=\"noreferrer noopener\">Dave Flynn<\/a>&#8216;s first TDS article focuses on change-aware data validation.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"vdXulxZLdW\"><a href=\"https:\/\/towardsdatascience.com\/change-aware-data-validation-with-column-level-lineage\/\">Change-Aware Data Validation with Column-Level Lineage<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Change-Aware Data Validation with Column-Level Lineage&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/change-aware-data-validation-with-column-level-lineage\/embed\/#?secret=omi7ZMRpNY#?secret=vdXulxZLdW\" data-secret=\"vdXulxZLdW\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/towardsdatascience.com\/author\/jens-winkelmann\/\" target=\"_blank\" rel=\"noreferrer noopener\">Jens Winkelmann<\/a>\u00a0joins our author community with a multidisciplinary background in physics, data science, and AI.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"fZp0xnfrdI\"><a href=\"https:\/\/towardsdatascience.com\/from-pixels-to-plots\/\">From Pixels to Plots<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;From Pixels to Plots&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/from-pixels-to-plots\/embed\/#?secret=cqMM7zkJhS#?secret=fZp0xnfrdI\" data-secret=\"fZp0xnfrdI\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/towardsdatascience.com\/author\/ashton-gribble\/\" target=\"_blank\" rel=\"noreferrer noopener\">Ashton Gribble<\/a>\u00a0dedicates his debut story to the algorithm powering song-identification app Shazam.\u00a0<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-towards-data-science wp-block-embed-towards-data-science\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"pnbNvZgbvK\"><a href=\"https:\/\/towardsdatascience.com\/the-five-second-fingerprint-inside-shazams-instant-song-id\/\">The Five-Second Fingerprint: Inside Shazam\u2019s Instant Song\u00a0ID<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;The Five-Second Fingerprint: Inside Shazam\u2019s Instant Song\u00a0ID&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/the-five-second-fingerprint-inside-shazams-instant-song-id\/embed\/#?secret=Z9iWS4DAen#?secret=pnbNvZgbvK\" data-secret=\"pnbNvZgbvK\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dotted\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">We love publishing articles from new authors, so if you\u2019ve recently written an interesting project walkthrough, tutorial, or theoretical reflection on any of our core topics, why not&nbsp;<a href=\"https:\/\/towardsdatascience.com\/questions-96667b06af5\/\" target=\"_blank\" rel=\"noreferrer noopener\">share it with us<\/a>?<\/p>\n\n\n\n<!-- Fully Responsive HubSpot Form Embed -->\n<div class=\"wp-block-html\" style=\"\n  width: 100%;\n  max-width: 480px;\n  margin: 2rem auto;\n  padding: 2rem;\n  border-radius: 8px;\n  background-color: #3E5D78;\n  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', sans-serif;\n  color: #fff;\n  box-sizing: border-box;\n\">\n  <h2 style=\"text-align: center; 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