Technical Video Documentation made easy youtube.com/@CodeSource

Joined July 2015
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codesource retweeted
Feb 25
Before Docker was infrastructure, it was engineers solving a deployment problem they were living through. This piece from @codesource_io dives into the context and untold story of how Docker became the foundation of modern software delivery - and why that origin still shapes the ecosystem today: youtube.com/watch?v=-8EDhm6m…

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The Untold Story of GitHub youtu.be/THtsXAewIVc This is the untold story of GitHub, a platform that transformed not just how we write code, but how the digital world operates. However, the path to this transformation, was far from smooth. @github #github #programming #git
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codesource retweeted
14 Sep 2024

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Just dropped a mini-documentary on the Untold Story of VS Code! @code From its humble beginnings to becoming an open-source giant, I dive deep into the journey, the drama, and the game-changing moments that made VS Code what it is today. 🎥 Watch it here:youtube.com/watch?v=vBhaFvwv…
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The Untold Story of VS Code - Documentary Trailer youtu.be/gbrYoeXquJo #vscode #code @code #100DaysOfCode

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5 Programming Project Ideas (With Source Code) Struggling to come up with programming project ideas? You're not alone! Finding the right project can be a daunting task, especially for beginners. In this video, I simplify the entire process by presenting 5 unique programming project ideas perfect for your Portfolio. Not only will I list these projects, but I'll also break them down into manageable steps, making it easy for you to start coding immediately. Project Source Code Grocery store - Source code: github.com/codebasics/python… Banking system - github.com/adrianhajdin/bank… Facebook clone - github.com/CoderrHQ/facebook… AI assistant - github.com/CodeWithHarry/Jar… Automated ecommerce Price tracker - github.com/techwithtim/Price…
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codesource retweeted
21 Jun 2024
Learn SOLID Principles of Object-Oriented Design in JavaScript youtube.com/watch?v=zgTiXVzJ… #javascript #coding #js #react #vue #solid

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codesource retweeted
17 Jun 2024
10 Habits that Programmers Must Have! youtu.be/6jC2IzM7SQ4 #100daysofcode #programming #coding

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Exploring the top web frameworks built using Bun - Bun is a fast JavaScript runtime that can run your JavaScript code faster than any other tool known to developers. dunebook.com/exploring-the-t…
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Building an AI Chatbot with Vue.js, Node.js, and OpenAI - youtu.be/MPK5Y2GDKD8

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codesource retweeted
25 Aug 2023
🔥 JavaScript Sets are about to become a lot more useful with these 7 new methods: .difference() .intersection() .symmetricDifference() .union() .isSubsetOf() .isSupersetOf() .isDisjointFrom()
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codesource retweeted
26 Aug 2023
To start with Machine Learning: 1. Learn Python 2. Practice using Google Colab Take these 2 free courses: • Introduction to Python Programming (Udacity) • Machine Learning Crash Course (Google) If you need a bit more time before diving deeper, finish the following Kaggle tutorials: • Intro to Machine Learning • Intermediate Machine Learning At this point, you are ready to finish your first project: The Titanic Challenge on Kaggle. If Math is not your strong suit, don't worry. I don't recommend you spend too much time learning Math before writing code. Instead, learn the concepts on-demand: Find what you need when needed. From here, take the Machine Learning specialization in Coursera. It's more advanced, and it will stretch you out a bit. The top universities worldwide have published their Machine Learning and Deep Learning classes online. Here are some of them: • MIT 6.S191 Introduction to Deep Learning • DS-GA 1008 Deep Learning • UC Berkeley Full Stack Deep Learning • UC Berkeley CS 182 Deep Learning • Cornell Tech CS 5787 Applied Machine Learning Many different books will help you. The attached image will give you an idea of my favorite ones. Finally, keep these three ideas in mind: 1. Start by working on solved problems so you can find help whenever you get stuck. 2. ChatGPT will help you make progress. Use it to summarize complex concepts and generate questions you can answer to practice. 3. Find a community here on 𝕏 and share your work. Ask questions, and help others. During this time, you'll deal with a lot. Sometimes, you will feel it's impossible to keep up with everything happening, and you'll be right. Here are the good news: Most people understand a tiny fraction of the world of Machine Learning. You don't need more to build a fantastic career in the space. Focus on finding your path, and Write. More. Code. That's how you win.
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