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#Fastapi Reel by @alex_pro_ai - Comment "CRUD" to get code! In this reel, I'm building a full CRUD API from scratch using FastAPI. Create, read, update, and delete items with clean
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@alex_pro_ai
Comment “CRUD” to get code! In this reel, I’m building a full CRUD API from scratch using FastAPI. Create, read, update, and delete items with clean endpoints, proper data models, and simple in-memory storage. A perfect example if you want to learn how real backend APIs are structured 🚀
#Fastapi Reel by @laskentatechltd - FastAPI: Auto-Validate JSON POST Requests #programming #python #coding Let me try a new way of teaching you stuff in Python's Fast API. Here is ho
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@laskentatechltd
FastAPI: Auto-Validate JSON POST Requests #programming #python #coding Let me try a new way of teaching you stuff in Python's Fast API. Here is how to handle JSON data in POST requests with FastAPI – using Pydantic BaseModel for automatic validation. Plus: Why FastAPI is exploding in popularity and overtaking Flask and Django for modern APIs. DB in a separate file included!
#Fastapi Reel by @pycode.dev (verified account) - Why should every Python developer learn FastAPI in 2026? Because building APIs is one of the most valuable backend skills you can have, and FastAPI ma
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@pycode.dev
Why should every Python developer learn FastAPI in 2026? Because building APIs is one of the most valuable backend skills you can have, and FastAPI makes that process much faster, cleaner, and more professional 🚀🐍 FastAPI is a modern Python framework used to build high performance APIs with less code and better structure. It gives you automatic docs, fast development, type hint support, and a clean way to create real backend projects that actually scale ⚡ In this reel, you will see a real example inside VS Code so you can understand how FastAPI works in practice, not just in theory 💻🔥 Follow @pycode.dev for more educational Python content 📚👨‍💻 #fastapi #python #backend #api #programming
#Fastapi Reel by @datasciencebrain (verified account) - Becoming an AI Engineer in 2026 isn't about learning everything…� It's about learning the right thing in the right order. Save this. This will guide
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@datasciencebrain
Becoming an AI Engineer in 2026 isn’t about learning everything…� It’s about learning the right thing in the right order. Save this. This will guide your entire 2025. 💚⚡ 📊 Math & Statistics Resource: Khan Academy – Statistics & Probability 🐍 Python Resource: freeCodeCamp – Python Full Course 🤖 Classical ML Resource: Andrew Ng — Machine Learning (Coursera) 🚀 Advanced ML Resource: StatQuest — Advanced ML Playlist 🧠 Deep Learning Resource: DeepLearning.AI — Deep Learning Specialization 🗣️ NLP Resource: Hugging Face — NLP Course ⚡ Transformers Resource: Hugging Face — Transformers Course 🎯 Finetuning Resource: Hugging Face — Fine-tuning Tutorials (LoRA, QLoRA) 🔗 LangChain Resource: LangChain Official Documentation — “LCEL + Tools” section 🕸️ LangGraph Resource: LangGraph Docs — Agents & Workflows 🛠️ MCPs (Model Context Protocol) Resource: OpenAI MCP Docs — Getting Started 🟩 FastAPI Resource: FastAPI Docs — The Official Tutorial 💾 Save this for your 2026 roadmap� 🔥 Share with someone starting their AI journey 📲 Follow @datasciencebrain for Daily Notes 📝, Tips ⚙️ and Interview QA🏆 . . . . . . [datascienceroadmap, airoles, mlengineerpath, datasciencejobs, analyticscareer, datatechskills, mlopsengineer, dataengineerskills, aiindustrytrends, techlearningguide] #ai #aiengineer #machinelearning #deeplearning #llm #huggingface #langchain #langgraph #fastapi #datascience #python #genai #mlroadmap #datasciencebrain
#Fastapi Reel by @algorithmswithpeter - Backend dev confused? Java (Spring Boot) = enterprise giants 🏦 Node.js (Express/NestJS) = startups & real-time APIs ⚡ Python (Django/FastAPI) = AI/
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@algorithmswithpeter
Backend dev confused? Java (Spring Boot) = enterprise giants 🏦 Node.js (Express/NestJS) = startups & real-time APIs ⚡ Python (Django/FastAPI) = AI/data apps 🚀 Master HTTP, auth, databases, microservices, Kafka, observability — skip YouTube CRUD chaos for the real roadmap from Meta/Google/MIT engineers! 💻🔥 Comment “BACKEND” for the pro course link! 📚👇 Hashtags: #backenddeveloper #javabackend #nodejs #pythonbackend #springboot #systemdesign #microservices #devops #kafka #apigateway #distributedSystems #softwareengineering #codingroadmap #techcareer #placements #20lpa #fullstack #webdevelopment #developers #programming #techreels #codinglife #learntocode #backenddev #csfundamentals #interviewprep #reelsinstagram #explorepage #buildinpublic #startuptech
#Fastapi Reel by @sayed.developer (verified account) - Guys! This is part 2 of the live coding series 🔥 In part one, we learned about creating a backend from scratch with Python & FastAPI. 🚀 In this one,
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@sayed.developer
Guys! This is part 2 of the live coding series 🔥 In part one, we learned about creating a backend from scratch with Python & FastAPI. 🚀 In this one, we dockerise our backend so we can run it anywhere: locally on a server or even in the cloud. I hope this helps you understand the steps to take systems to production. What do you think is the next step 😁 guess 👾
#Fastapi Reel by @priyal.py - 1. Personal AI Assistant - FastAPI + Mem0 + Qdrant + Postgres + OpenAI + React -> remembers user habits/preferences across sessions for personalized r
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@priyal.py
1. Personal AI Assistant — FastAPI + Mem0 + Qdrant + Postgres + OpenAI + React -> remembers user habits/preferences across sessions for personalized responses 2. Developer Copilot with Memory — FastAPI + LangChain + Mem0 + Qdrant + Redis + OpenAI + VS Code Extension -> remembers your stack, bugs, and coding style 3. Customer Support Agent — Node.js/FastAPI + Mem0 + Pinecone + Postgres + Redis + OpenAI -> remembers past tickets and user history for better support 4. AI Shopping Assistant — FastAPI + Mem0 + Qdrant + Postgres + OpenAI + React -> remembers taste, budget, and preferences for recommendations 5. Study / Learning Agent — FastAPI + Mem0 + Qdrant + Postgres + OpenAI -> tracks weak topics and adapts learning over time 6. Multi-Agent System (shared memory) — LangGraph/CrewAI + Mem0 + Qdrant + Redis + OpenAI -> multiple agents share a common memory layer 7. Research Agent (GitHub/Papers) — FastAPI + Mem0 + Qdrant + OpenAI + GitHub API + Arxiv API -> remembers past research and builds knowledge over time 8. Healthcare Assistant — FastAPI + Mem0 + Qdrant + Postgres + OpenAI -> tracks symptoms, history, and user-specific context #agentmemory #aiagents #aiengineer #learningtogether #womeninstem
#Fastapi Reel by @conniecodes (verified account) - ONE minute HOW TO on how to create your first API. This includes two different endpoints that you can create with Python. This is using Python + FastA
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@conniecodes
ONE minute HOW TO on how to create your first API. This includes two different endpoints that you can create with Python. This is using Python + FastAPI. Super beginner friendly tutorial for your coding journey and I am really satisfied with how this came out. Please let me know if you have any questions about how to use this. I have another reel about how to call these API endpoints that I will link below. #Coding #codingtutorial #compsci #softwaredeveloper #softwareengineer
#Fastapi Reel by @welcomeaiengineer - Backend : FastAPI: Used to build very fast and modern APIs in Python. Flask: Used to build simple web apps or APIs in Python. -------------------- Fr
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@welcomeaiengineer
Backend : FastAPI: Used to build very fast and modern APIs in Python. Flask: Used to build simple web apps or APIs in Python. -------------------- Frontend : Streamlit: Used to build quick UI apps for data and AI using Python.
#Fastapi Reel by @pythonlogicreels - 🚀 TOP PYTHON MODULES YOU MUST KNOW IN 2026 🐍🔥 If you're learning Python or leveling up your coding game, these powerful modules can change everyth
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@pythonlogicreels
🚀 TOP PYTHON MODULES YOU MUST KNOW IN 2026 🐍🔥 If you're learning Python or leveling up your coding game, these powerful modules can change everything 💻⚡ 📊 Data Analysis & Visualization • Pandas • NumPy • Matplotlib • Seaborn • SciPy 🤖 Machine Learning & AI • Scikit-learn • TensorFlow • Keras • PyTorch • XGBoost 🌐 Web Development • Django • Flask • FastAPI • Requests • BeautifulSoup 🗄️ Database Access • SQLAlchemy • Psycopg2 • PyMySQL • SQLite3 • MongoEngine 🌐 Networking & Communication • Socket • Paramiko • Twisted • Flask-SocketIO • paho-mqtt ⚙️ System Administration & Utilities • OS • Subprocess • Pathlib • Argparse • shutil 💡 Whether you're into data science, AI, web development, or backend engineering, mastering these Python libraries will make you unstoppable 🚀 👉 Save this reel for later 👉 Share with your coding friends 👉 Follow for more Python & tech content . . . . . #pythonprogramming #codingquiz #pythonlogicreels #learnpython #codingchallenge
#Fastapi Reel by @aiwithtani - Training is step one. Productionizing with MLOps, FastAPI, and Docker is where real-world GenAI happens.#mlops#genai#fastapi#docker#aiproduction
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@aiwithtani
Training is step one. Productionizing with MLOps, FastAPI, and Docker is where real-world GenAI happens.#mlops#genai#fastapi#docker#aiproduction
#Fastapi Reel by @jam.with.ai (verified account) - Comment "FastAPI" to get the pdf of these questions and answers. 95% candidates are not able to answer these questions related to FastAPI. Know them
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@jam.with.ai
Comment “FastAPI” to get the pdf of these questions and answers. 95% candidates are not able to answer these questions related to FastAPI. Know them well now! 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝗳𝗼𝗿 𝗔𝗜/𝗠𝗟: Your model will eventually live behind an API. You need to: ✅ Handle inputs reliably ✅ Validate data automatically ✅ Make async calls to vector DBs ✅ Log errors properly ✅ Return JSON responses fast FastAPI gives you all of this with clean, maintainable code.

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