FastAPI Vs RESTful API

FastAPI

• FastAPI is a new Python framework gaining popularity among the data community for being lightweight, intuitive, and supporting async.
• It is suitable for ML/DS tasks and offers nice features for development.
  • "Just want to add FastAPI to the Nice-to-Haves section :)" - Reddit comment
  • "Really saved my skin here." - Reddit comment
• Pros:
  • Lightweight and intuitive
  • Async support
• Cons:
  • May not have as extensive a community as other frameworks like Django

RESTful API

• Django is compared to FastAPI in terms of speed and may not be the fastest framework.
• Factors like network latencies, database queries, and productivity should also be considered when choosing a framework.
  • "In a real-world scenario, the speed difference between these frameworks is likely to be less significant."
  • "Django may not be the fastest framework but might still be the best choice depending on productivity factors."
• Pros:
  • Mature framework with robust documentation
  • Many built-in features for development
• Cons:
  • May not perform as fast as other frameworks in certain benchmarks

Recommendations

• Choose FastAPI if:
  • Looking for a lightweight, async-supporting framework for ML/DS tasks
• Choose RESTful API (Django) if:
  • Need a mature framework with extensive features and community support

Job Search Tips for ML/DS Fields

• Salary less affected: Focus on skills development rather than salary at the start.
• Time investment: Consider the time you'll invest in learning a decent percentage of knowledge.
• Job platforms: Look for roles that match your skill level on job platforms.
• Article recommendation: Follow a related article for guidance in landing a job.
• "Definitely need this as a 26-year-old planning to return to programming again." - Reddit comment

Remember to consider factors beyond just speed when choosing a framework, and focus on skills development for job hunting in the ML/DS field.