135.8K
DEFlask vs FastAPI
Same API. Same test. Why did Flask take 2× longer?
#python #fastapi #learnpython #pythonforbrginners #devwaymhaab
@devwaymahab
#Flask Vs Fastapi
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トレンドリール
(12)
3.0K
WEBackend :
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.
@welcomeaiengineer
308.5K
LAEvery Python Backend Framework Explained. Django is the heavyweight full stack framework with everything included, Flask is the minimalist microframework that offers maximum flexibility, and FastAPI is the modern async framework built for blazing fast APIs. Pyramid scales flexibly from small to large applications, Tornado is built for high performance networking, and Sanic is an async framework designed for speed. Bottle is an ultra lightweight single file framework, Falcon is minimalist and optimized for building APIs, CherryPy takes a minimalist but object oriented approach, and Starlette is a lightweight ASGI framework that FastAPI is built on. Timestamps: 00:00 Django, 00:33 Flask, 01:10 FastAPI, 1:53 Pyramid, 02:23 Tornado, 03:27 Sanic, 03:51 Bottle, 04:15 Falcon, 04:43 CherryPy, 05:03 Starlette.
#programming #fullstack #developer #python #django #flask #fastapi #pyramid #tornado #sanic #bottle #falcon #cherrypy #starlette #backend #webdevelopment #pythonframeworks #api
@laskentatechltd
8.4K
TEComment “PYTHON” to get handpicked links to learn Django, FastAPI, and Flask! 💬
Python is currently one of the most in-demand languages. It’s a language people are urging others to learn (and for good reason)!
If you’ve spent enough time researching the Python, you will have likely come across these three popular backend frameworks: FastAPI, Django, and Flask.
If you’re curious as to which you should use for your next project and what the difference between each is, this video is for you!
Hoping you find this helpful along your journey ✨🤞
@tembrasdev
41.3K
NIFollow @nizar_ennadhyfy ❗️
#python #backend #flask #fastapi #django #webdevelopment #pythondeveloper #backenddeveloper #fullstackdeveloper #learncoding #codingjourney #programmingtips #webdevcommunity #morocco #maroc #developerlife #techcontent #machinelearningjourney
@nizar_ennadhyfy
33.3K
DAIn my first years as a data scientist, I wasted hours on broken SQL, slow pandas scripts, messy Flask deployments, and “works on my machine” chaos.
These 4 tools fixed that:
• dbt → modular, documented SQL transformations
• Polars → faster, cleaner alternative to pandas
• FastAPI → quick, reliable model deployment
• Docker → consistent environments, no more deployment nightmares
If you’re just starting out, learning these early will save you months of frustration.
@data_pumpkin
4.1K
PY🚀 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
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#pythonprogramming #codingquiz #pythonlogicreels #learnpython #codingchallenge
@pythonlogicreels
72.8K
GI🚀 How to Become an Agentic AI Expert (Step-by-Step)
Step 1: Programming Basics
Python, SQL, Data Structures, Pandas
→ Your foundation 🧱
Step 2: APIs & Backend
Build APIs, fetch data
Create AI apps using Flask / FastAPI ⚙️
Step 3: GenAI Basics
Text, Images, Video
Hands-on with ChatGPT, Gemini, Claude 🤖
Step 4: Foundation Models
Start with GANs, VAEs, GMMs
Then move to Diffusion, Transformers, SSMs 🧠
Step 5: Large Language Models (LLMs)
How LLMs work
Attention, Prompting, Fine-tuning, RAG 📚
Step 6: Prompt Engineering
Zero / One / Few-shot
Role prompts, Chain-of-Thought, Self-Consistency ✍️
Step 7: LangChain Ecosystem
Chains, Parsers, Model I/O
LCEL, Prompt Templates, Chatbots 🔗
Step 8: RAG (Retrieval-Augmented Generation)
Load docs → Chunk → Embed
Vector DBs → Retrieve → Generate 🔍
Step 9: AI Agents Basics
Agent types: Reflex, Goal-based, Learning
Sensors, Effectors, Memory 🧩
Step 10: ReAct & Agent Design
ReAct pattern, Tools
Planning, Multi-step reasoning
Multi-agent with LangGraph, CrewAI 🧠🤝
Step 11: No-Code Agents
Build & deploy fast
Relevance AI, Wordware, Vertex AI ⚡
Step 12: Agentic RAG & Production
Self-RAG, Corrective RAG, Web search
Deploy → Monitor → Scale → Maintain 🚀
#agenticai #genai #rag #ml #ai
@girlwhodebugs
920
GO💡 Si vas a crear tu primer **SaaS o aplicación web con Python**, esto te interesa:
Existen tres frameworks principales 👉 Django, Flask y FastAPI.
🔹 **Django**: súper completo, con autenticación y base de datos integradas, pero puede abrumarte si estás empezando.
🔹 **Flask**: ligero y sencillo, aunque algo anticuado.
🔹 **FastAPI**: moderno, rápido y modular. Ideal para aprender paso a paso sin morir en el intento.
Mi consejo → empieza con **FastAPI**. Te permite construir mientras aprendes, integrar lo que necesites y entender cómo funciona todo desde dentro.
👉 Comenta si ya has probado alguno y cuál te ha gustado más.
#Python #FastAPI #DesarrolloWeb #Programación #SaaS #AprenderPython
📍 España
@goyo.dev
28.0K
DOYou can literally make your own.
All it takes is:
• A Twilio WhatsApp sandbox
• A FastAPI (or Flask) app in Python
• Redis for storage
• OpenAI for conversation
Hook it up with ngrok → done.
Jokes aside this is prob the fastest way I’ve ever turned a tweet into a working product.
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#fyp #tech #foryoupage #explore #automation
@dotslashsimran
43.8K
DATools to use for Agentic AI Projects:
1️⃣ Autonomous Customer Support Agent: LLM (GPT-4), Dialogflow, Sentiment Analysis, Node.js/Python
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#data #datascience #dataanalytics #dataanalysis #dataanalyst #datascientist #datacleaning #statistics #python #sql #dataengineering #engineering #pandas #datavisualization #machinelearning #deeplearning #d
@datasciencebrain
35.7K
YEافضل باك اند فريمورك في بايثون .. FastAPI 🍏
🌟 في بايثزن هتلاقي فيه ٣ فريمورك مشهورين تقدر تبني بيهم باك اند .. Flask و Django و FastAPI.
🌟 بعد تجربتي لDjango حسيته معقد وكبير ومناسب اكتر للمشاريع الكبيرة .. وFlask عكسه ويفتقر لحاجات كتير اووي ومناسب لمشاريع تجريبية او صغيرة جدا .. لقيت بقى FastAPI محقق المعادلة المناسبة والمرونة اللي ممكن تحتاجها في اي مشروع .. وجربته واقدر ارشحه كباك اند فريمورك في بايثون.
ما تنسوا الLike والFollow ✌️🚀
وشوفوا قناة اليوتيوب عليها فيديوهات برمجية هتفيدكم ✌️🔴
@yehia.tech
✨ #Flask Vs Fastapi発見ガイド
Instagramには#Flask Vs Fastapiの下にthousands of件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
#Flask Vs Fastapiは現在、Instagram で最も注目を集めているトレンドの1つです。このカテゴリーにはthousands of以上の投稿があり、@laskentatechltd, @devwaymahab and @girlwhodebugsのようなクリエイターがバイラルコンテンツでリードしています。Pictameでこれらの人気動画を匿名で閲覧できます。
#Flask Vs Fastapiで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @laskentatechltd, @devwaymahab, @girlwhodebugsなどがコミュニティをリード
#Flask Vs Fastapiについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Flask Vs Fastapiのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
12リールの分析
💡 トップ投稿は平均140.2K回の再生（平均の2.4倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
🔥 #Flask Vs Fastapiは高いエンゲージメント可能性を示す - ピーク時に戦略的に投稿
✨ 多くの認証済みクリエイターが活動中（25%） - コンテンツスタイルを研究
📹 #Flask Vs Fastapiには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長719文字
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