Multithreading for Beginners 24 CSS Projects: Loading Animations, Progress Bars, Flashcards & More! From Data Entry Drudgery to Software Engineer with Jessica Chan AKA Coder Coder [Podcast #132] Python Object Oriented Programming (OOP) - Full Course for Beginners 20d | FreeCodeCamp.org DeepSeek-R1 Crash Course 21d | FreeCodeCamp.org LLM Course – Build a Semantic Book Recommender (Python, OpenAI, LangChain, Gradio) 22d | FreeCodeCamp.org Getting a developer job in 2025 with Lane Wagner [Podcast #157] 25d | FreeCodeCamp.org freeCodeCamp Handmade T-Shirts 27d | FreeCodeCamp.org How to Create a Website – WordPress Tutorial for Beginners 2025 28d | FreeCodeCamp.org Neetcode 150 Course - All Coding Interview Questions Solved 29d | FreeCodeCamp.org AI Reality VS Speculation with Google Machine Learning Engineer Jiquan Ngiam [Podcast #156] 1mo | FreeCodeCamp.org Understanding Deep Learning Research Tutorial - Theory, Code and Math 1mo | FreeCodeCamp.org Lisp Programming Language – Full Course for Beginners 1mo | FreeCodeCamp.org << < 1 2 3 4 5 > >> Csatlakozni a csoporthoz Tagok Keresés LétrehozvaEgy nap elmúltElmúlt négy napAz elmúlt hónap Choose a GroupFreeCodeCamp.org Choose a User Sorrendrelevancia szerintKedveltElőször újKönyvjelzők számaMegjegyzések száma Keresés
![From Data Entry Drudgery to Software Engineer with Jessica Chan AKA Coder Coder [Podcast #132]](https://www.cdn5.niftycent.com/d/D/v/v/6/W/b/from-data-entry-drudgery-to-software-engineer-with-jessica-chan-aka-coder-coder-podcast-132.webp "From Data Entry Drudgery to Software Engineer with Jessica Chan AKA Coder Coder [Podcast #132]")
![Getting a developer job in 2025 with Lane Wagner [Podcast #157]](data:image/png;base64,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 "Getting a developer job in 2025 with Lane Wagner [Podcast #157]")
![AI Reality VS Speculation with Google Machine Learning Engineer Jiquan Ngiam [Podcast #156]](data:image/png;base64,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 "AI Reality VS Speculation with Google Machine Learning Engineer Jiquan Ngiam [Podcast #156]")
