Update README.md

README.md

@@ -5,6 +5,32 @@ This repository is an archive of Quincy Larson's weekly email newsletter.
 
 A big thanks to Sourabh Joshi for creating this repo and helping maintain it. He's a software engineer from Bengaluru who works at http://vidyo.ai.
 
+### June 21, 2024
+1. freeCodeCamp just published a Linux course that will teach you how to use some of the open source operating system's most powerful features. It's designed with both Linux beginners and intermediate users in mind. You'll learn Linux's file system with hard links, soft links, permissions, and root accounts. You'll also learn how to use grep, a command line tool for finding what you need inside large datasets. This course also includes interactive labs, so you can apply the new skills you're learning. (2 hour YouTube course): https://www.freecodecamp.org/news/free-linux-crash-course-with-labs/
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+2. One of the most exciting areas of AI at the moment is Retrieval Augmented Generation (RAG). This freeCodeCamp Python course will teach you how to combine your own custom data with the power of Large Language Models (LLMs). You'll use LangChain, Mistral AI, Ollama, and more. You'll learn straight from Per Borgan, a software engineer, teacher, and long-time friend of mine. (2 hour YouTube course): https://www.freecodecamp.org/news/building-intelligent-apps-with-mistral-ai/
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+3. On this week's freeCodeCamp podcast I interview designer and developer Colby Fayock. We talk about his journey from designing truck wraps to working as a software engineer. He also shares his day-to-day life building APIs and SDKs, and how he uses AI at work. Believe it or not, Colby doubled as a male model at ThinkGeek, which was kind of like The Sharper Image but for Star Wars fans. I think you'll enjoy our conversation. (1 hour watch or listen in your favorite podcast app): https://www.freecodecamp.org/news/quincy-interviews-colby-fayock-dev-designer-male-model-prolific-fcc-contributor-podcast-128/
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+4. freeCodeCamp just published an entire handbook focused on PHP and its powerful array data structure. It's chock-full of code examples. You can code along at home and build your own soccer player sports card app. This is another excellent PHP reference from prolific author Kolade Chris. (full-length handbook): https://www.freecodecamp.org/news/php-arrays-how-to-rebuild-the-football-team-cards-with-php-and-mongodb/
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+5. The Black-Scholes Equation is the most important mathematical formula that most people have never heard of. Black-Scholes completely revolutionized corporate finance when it was discovered in 1973. This tutorial will explain how the formula works, and how you can implement it in Python. Then you'll use it to predict the price of concert tickets, and learn about its many other real-world applications. (15 minute read): https://www.freecodecamp.org/news/how-the-black-scholes-equation-works-python-examples/
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+Quote of the Week: *"Innovation must lead infrastructure for a simple but compelling reason: Innovation produces new types of products and markets, and it is virtually impossible to know how to run those markets efficiently before they are created."* — Myron Scholes, Nobel Prize winning economist and co-creator of the Black-Scholes Equation
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+### June 14, 2024
+1. freeCodeCamp just published a comprehensive course to help you learn the Python skills used in data science. You'll start by learning the basics of data analytics, such as data wrangling, filtering, and statistical analysis. Then you'll apply those skills toward the field of A/B Testing, through a series of practical projects. This course is an excellent place to strengthen your Python abilities. (6 hour YouTube course): https://www.freecodecamp.org/news/learn-python-for-data-science-hands-on-projects-with-eda-ab-testing-business-intelligence/
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+2. Learn High-level System Design with this new software architecture course. Keerti is a software engineer and teacher, and she'll introduce you to principles for building sophisticated apps. You can code along at home and build three API services that chunk data, transcode the data with FFmpeg, and stream it using Adaptive Bitrate Streaming. (2 hour YouTube course): https://www.freecodecamp.org/news/learn-high-level-system-design-by-building-a-youtube-clone/
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+3. On this week's freeCodeCamp podcast, I interview Dr. Chuck, creator of the popular Python for Everyone course. He's a Computer Science professor at University of Michigan, and he's taught coding to millions of students through his freeCodeCamp courses. We talk about what separates a “Master Programmer” from an average one. We delve into what he sees as the biggest shortcomings of university programs – even elite ones like the one he teaches at. We also discuss his theories on the recent tech layoffs, and his suggestions for how devs can stay ahead of recent breakthroughs in AI. (1 hour watch or listen in your favorite podcast app): https://www.freecodecamp.org/news/how-to-outsmart-ai-as-a-developer-dr-chuck-interview-127/
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+4. Learn how to build 3D graphics and games that run in a browser. ThreeJS is a powerful JavaScript library that abstracts away the complexities of WebGL. This course will walk you through building five projects, including a 3D model of the Earth, a wireframe wormhole, and a physics demo complete with realistic collisions. Happy rendering. (90 minute YouTube course): https://www.freecodecamp.org/news/learn-threejs-by-building-five-projects/
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+5. You may have heard people talk about an emerging technique called Retrieval-Augmented Generation (RAG). This is when an AI looks up information from outside sources to improve its own responses. Well, freeCodeCamp just published a handbook that will help you understand RAG so you can use it in your AI models. Even if you don't have time to read the whole thing, I still encourage you to bookmark it for future reference. (full-length handbook): https://www.freecodecamp.org/news/retrieval-augmented-generation-rag-handbook/
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+Quote of the Week: *"If people do not believe that mathematics is simple, it is only because they do not realize how complicated life is."* — John von Neumann, Mathematician and Computer Science Pioneer
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 ### June 7, 2024
 1. freeCodeCamp just published a full book on how to use Python for Applied Data Science. You'll start by learning core data science principles. Then you'll learn about data cleaning, data transformation, and Exploratory Data Analysis. You'll also learn powerful Python libraries like Pandas, NumPy, and Matplotlib. This is a full-blown reference manual with tons of code examples. You can bookmark it and read it over multiple sessions as you continue to expand your skills. Enjoy. (full-length book): https://www.freecodecamp.org/news/applied-data-science-with-python-book/