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] DeepSeek-R1 Crash Course 3mo | FreeCodeCamp.org LLM Course – Build a Semantic Book Recommender (Python, OpenAI, LangChain, Gradio) 3mo | FreeCodeCamp.org Getting a developer job in 2025 with Lane Wagner [Podcast #157] 3mo | FreeCodeCamp.org freeCodeCamp Handmade T-Shirts 3mo | FreeCodeCamp.org How to Create a Website – WordPress Tutorial for Beginners 2025 3mo | FreeCodeCamp.org Neetcode 150 Course - All Coding Interview Questions Solved 3mo | FreeCodeCamp.org AI Reality VS Speculation with Google Machine Learning Engineer Jiquan Ngiam [Podcast #156] 3mo | FreeCodeCamp.org Understanding Deep Learning Research Tutorial - Theory, Code and Math 3mo | FreeCodeCamp.org Lisp Programming Language – Full Course for Beginners 3mo | FreeCodeCamp.org CUDA and GPU Programming with Elliot Arledge [Podcast #155] 3mo | FreeCodeCamp.org << < 3 4 5 6 7 > >> Alăturați-vă grupului Membri Căutare CreatăA trecut o ziUltimele patru zileLuna trecuta Choose a GroupFreeCodeCamp.org Choose a User Filtrează dupădupă relevanțăVotat în susMai întâi nouNumăr marcajeNumăr de comentarii Căutare
![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]")
![CUDA and GPU Programming with Elliot Arledge [Podcast #155]](data:image/png;base64,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 "CUDA and GPU Programming with Elliot Arledge [Podcast #155]")
