Загрузка...

Coding A Full Stock Prediction Tool By Prompt (Warp, Python, React)

Try Warp for free: https://go.warp.dev/neuralnine
And use this code for 2 months free of Warp Pro: NEURALNINE

Today we are going to build a full stock prediction tool in Python. We will train a model with PyTorch, build a back-end with FastAPI, a front-end with React and then we are going to deploy the entire thing with Docker and NGINX. All of this will be done by prompt using Warp.

◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾
📚 Programming Books & Merch 📚
🐍 The Python Bible Book: https://www.neuralnine.com/books/
💻 The Algorithm Bible Book: https://www.neuralnine.com/books/
👕 Programming Merch: https://www.neuralnine.com/shop

💼 Services 💼
💻 Freelancing & Tutoring: https://www.neuralnine.com/services

🖥️ Setup & Gear 🖥️: https://neuralnine.com/extras/

🌐 Social Media & Contact 🌐
📱 Website: https://www.neuralnine.com/
📷 Instagram: https://www.instagram.com/neuralnine
🐦 Twitter: https://twitter.com/neuralnine
🤵 LinkedIn: https://www.linkedin.com/company/neuralnine/
📁 GitHub: https://github.com/NeuralNine
🎙 Discord: https://discord.gg/JU4xr8U3dm

Timestamps:
(0:00) Intro
(0:57) Preview
(2:08) Plan For Project
(4:47) Training Model with PyTorch
(12:30) FastAPI Back-End
(18:50) React Front-End
(28:40) Docker & Containerization
(36:49) Deployment
(49:08) Outro

Видео Coding A Full Stock Prediction Tool By Prompt (Warp, Python, React) канала NeuralNine
Страницу в закладки Мои закладки
Все заметки Новая заметка Страницу в заметки