잠시만 기다려 주세요.
제주코딩베이스캠프
2024. 6. 2.
오늘 저녁 7시 ~ 9시에 아래 채널에서 ‘개발자가 되기 위한 상식과 로드맵, 취업 전략’이라는 이름으로 무료 질의응답 시간을 가지려 합니다. 채팅은 디스코드로, 진행은 줌으로 진행합니다. 참고로 디스코드는 지난번 웨비나 재활용(?)하고 있어서 제목이 '백엔드 개발자 학습 가이드'인데 이번 주제는 다른 주제입니다. 링크: https://discord.gg/hTawjwaK * 해당 질의응답 시간에 나온 질의응답이 민감할 수 있어서 유튜브로 올리지는 않겠습니다.
💰 Mentorship to six figure software engineer - https://calcur.tech/mentorship ⚙️ Backend Engineering Mind Map - https://calcur.tech/mindmap 💻 System Design Playlist - https://calcur.tech/system-design Timestamps: 00:00 - Introduction 00:21 - Overview of Consistency and Availability 01:35 - Consistency 02:10 - Availability 06:43 - Partition Tolerance 07:28 - AP, CP, and CA 💯 FREE Courses (100+ hours) - https://calcur.tech/free-courses 🏆 C++ Mastery Course - https://www.codebreakthrough.com/cpp-mastery 🐍 Backend Python Course - https://calcur.tech/backend-python 🥇 Python Mastery Course - https://calcur.tech/python-mastery ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ✉️ Newsletter - https://calcur.tech/newsletter 📸 Instagram - https://www.instagram.com/CalebCurry 🐦 Twitter - https://twitter.com/calebCurry 🔗 LinkedIn - https://www.linkedin.com/in/calebcurry ▶️ Subscribe - http://calcur.tech/subscribe 👨🏻🎓 Courses - https://www.codebreakthrough.com 🅿 Patreon - http://calcur.tech/patreon-calebcurry
2024. 10. 28.
An overview of the Keychron Q15 Max, Keychron's first ortholinear keyboard. If you'd like to order a Keychron Q15 Max, please use this affiliate link to support the channel! https://www.keychron.com/products/keychron-q15-max-qmk-wireless-custom-mechanical-keyboard?ref=cttm Camera: Canon EOS R5 https://amzn.to/3CCrxzl Monitor: Dell U4914DW 49in https://amzn.to/3MJV1jx SSD for Video Editing: VectoTech Rapid 8TB https://amzn.to/3hXz9TM Microphone 1: Rode NT1-A https://amzn.to/3vWM4gL Microphone 2: Seinheiser 416 https://amzn.to/3Fkti60 Microphone Interface: Focusrite Clarett+ 2Pre https://amzn.to/3J5dy7S Tripod: JOBY GorillaPod 5K https://amzn.to/3JaPxMA Mouse: Razer DeathAdder https://amzn.to/3J9fYCf Computer: 2021 Macbook Pro https://amzn.to/3J7FXtW Lens 1: Canon RF50mm F 1.2L USM https://amzn.to/3qeJrX6 Lens 2: Canon RF24mm F1.8 Macro is STM Lens https://amzn.to/3UUs1bB Caffeine: High Brew Cold Brew Coffee https://amzn.to/3hXyx0q More Caffeine: Monster Energy Juice, Pipeline Punch https://amzn.to/3Czmfox Building A Second Brain book: https://amzn.to/3cIShWf Daily Keyboard: Glove80 - https://www.moergo.com/collections/glove80-keyboards
2024. 8. 1.
AI is revolutionizing industries, from media 🎬 and entertainment, to healthcare 🏥, automobiles 🚗, fintech, and beyond. It’s reshaping the future of technology, and you’re still early to catch this trend. Now is the perfect time to build your first AI and machine learning movie recommendation app 🌟. In this tutorial, we’ll guide you step-by-step through the process of building a complete AI-powered movie recommendation system using Python, NumPy, Pandas, ReactJS, and Flask. With a stunning responsive front end, our app connects seamlessly to the backend, leveraging a machine learning model to fetch personalized movie recommendations 🍿. What you’ll learn: •Python for AI development: Master the fundamentals, including variables, data types, control flow, functions, file handling, and object-oriented programming. •NumPy: Crucial for scientific computing, handling arrays, and optimizing performance 🔢. •Pandas: Ideal for data manipulation, cleaning, and exploratory data analysis (EDA) using DataFrames 📊. •ReactJS: Build a dynamic front-end for seamless user experience and interaction with AI-powered services 💻. •Flask: Learn to create a robust backend, connecting your AI model to deliver real-time recommendations 🛠️. Materials / References: - Github Codes (give it a star ⭐): - Frontend code - https://github.com/mendsalbert/cinematch-frontend - Model code - https://github.com/mendsalbert/cinematch-model - Backend code - https://github.com/mendsalbert/cinematch-backend - Visual Studio website - https://code.visualstudio.com/ - Python official website - https://www.python.org/ -omdbapi key - https://www.omdbapi.com/apikey.aspx - Datasets - https://drive.google.com/drive/folders/1lshb_PN5y8SjIcH9wfI5iIWL0FYkWS8s?usp=sharing ❤️ Support this channel and suggest future videos! Find me here: BuyMeACoffe : https://www.buymeacoffee.com/mendalbert - Instagram: https://instagram.com/mendsalbert_ - Twitter: https://twitter.com/mendsalbert - TikTok: https://www.tiktok.com/@mendsalbert - Github: https://github.com/mendsalbert Business inquiries: email: mendsalbert@gmail.com Timestamps 00:00:00 - Intro 00:00:24 - Setting up Environment 00:01:13 - Python 00:21:30 - Numpy 00:28:53 - Pandas 00:36:04 - Project Setup 00:37:05 - Model 00:46:40 - Backend 00:48:28 - Frontend 00:50:42 - Conclusion
2024. 1. 10.
2024. 8. 20.
'Django 베이스캠프' 강의 중 공개 강의를 업로드해 드립니다. 강의 링크는 https://inf.run/sBYjY 입니다. 많은 관심 부탁드립니다. 교안은 https://www.books.weniv.co.kr/basecamp-django 에 무료로 공개되어 있습니다.
2024. 10. 16.
In this video I show how to build AI Telegram bot with low-code tools: n8n and FlowiseAI (UI visual tool for creating flows with LangChain). Download Telegram AI assistant workflow for n8n here: https://github.com/workfloows/workfloows-tutorials/blob/main/telegram-ai-bot.json 🚀 How to build voice Telegram AI bot with n8n, Whisper and ElevenLabs: https://workfloows.gumroad.com/l/telegram-ai-voice-bot My other tutorials: 1. Generate PDFs in n8n with Gotenberg (for free!): https://www.youtube.com/watch?v=bo15xdjXf1Y 2. How to auto-backup n8n workflows to GitHub: https://www.youtube.com/watch?v=dNuVuoPD0Jo 3. Using webhooks in n8n (parameters, responses and triggers): https://www.youtube.com/watch?v=IvUYJQkf6sA&feature=youtu.be Create your n8n cloud account here (affiliate): https://n8ngmbh.partnerlinks.io/6hvl7yx64x19 Subscribe my newsletter: https://workfloows.com/ Visit my Gumroad profile: https://workfloows.gumroad.com/ Follow me on Twitter/X: https://twitter.com/workfloows Follow Workfloows on LinkedIn: https://www.linkedin.com/company/workfloows/ Screen recording software that I use (affiliate): https://www.screen.studio/@jmMwX 0:00 Demo (no LangChain vs LangChain) 0:30 Step 1: Create Telegram bot 0:48 Step 2: Add Telegram and OpenAI credentials 1:33 Step 3: Configure n8n workflow 4:25 Step 4: Configure FlowiseAI
2023. 6. 7.