Flask VS fastapi

# Add bookmarks with hierarchical tags btk add https://docs.python.org --tags programming/python/docs btk add https://flask.palletsprojects.com --tags programming/python/web # Export with folder structure btk export bookmarks.html html --hierarchical # Result: Nested folders in browser # 📁 programming # 📁 python # 📁 docs # 🔖 Python Documentation # 📁 web # 🔖 Flask Documentation

import requests from concurrent.futures import ThreadPoolExecutor URLS = [ "https://www.python.org/", "https://www.djangoproject.com/", "https://flask.palletsprojects.com/", ] def fetch_url(url: str): print(f"Fetching {url}...") response = requests.get(url) print(f"Fetched {url} with status {response.status_code}") return len(response.content) with ThreadPoolExecutor(max_workers=5) as executor: # The map function runs `fetch_url` for each item in URLS results = executor.map(fetch_url, URLS) for url, length in zip(URLS, results): print(f"URL: {url}, Length: {length}")

Implementation: Use libraries or server configurations to enable gzip and Brotli. Examples include Flask, Gin, and Express setups.

Code Reading: Study repositories like Flask, Requests, or Rich on GitHub. Notice how they handle imports, error cases, and API design. Reading production code reveals patterns you won't find in tutorials.

Python with Flask (https://flask.palletsprojects.com/)

Flask Documentation

In this beginner-friendly guide, we will create a simple API using Python and Flask a lightweight and easy-to-use web framework for Python that allows developers to create APIs and web applications quickly. This API will take a number as input and return some basic properties, such as whether it is even or odd, and its square. We will also deploy the API so that it can be accessed from anywhere.

Flask Documentation. "Flask, Web Development." https://flask.palletsprojects.com/.

Informasi lengkap mengenai Flask bisa Anda baca di dokumentasi resmi Flask: https://flask.palletsprojects.com/

FastAPI – https://fastapi.tiangolo.com

Modern Python backend framework for building real, portfolio-ready projects fast. https://fastapi.tiangolo.com

Documentation Files Setup Guide Deployment Guide Access Guide Cost Optimization Monitoring Setup Technologies Used FastAPI Documentation Terraform AWS Provider Terraform Azure Provider Helm Documentation Kubernetes Documentation Prometheus Documentation Grafana Documentation Tools & Security Trivy Scanner Checkov IaC Scanner GitHub Actions Connect With Me I’d love to hear your feedback, questions, or suggestions!

FastAPI for Python Model Serving

FastAPI Official Docs

FastAPI – Lightning-fast web APIs

FastAPI - fastapi.tiangolo.com/

Python's renaissance in web development comes from FastAPI - my personal favorite nowadays - which brings modern async capabilities and automatic API documentation through Pydantic models. The framework feels designed for 2025, with type hints throughout and excellent developer experience. If your application needs to integrate with machine learning models, data processing pipelines, or scientific computing libraries, Python is often the only practical choice.

Node.js is 40–60% faster in handling concurrent connections than Python due to its non-blocking I/O. Python, on the other hand, can outperform Node in CPU-bound computation only when optimized with C extensions or async frameworks like asyncio or FastAPI (FastAPI Docs).