Why Performance Matters in Python Development | The PyCharm Blog
Python's interpreted execution and the GIL cause performance bottlenecks; applying proven optimization techniques improves speed, scalability, and resource efficiency.
Episode #265: Python App Hosting Choices & Documenting Python's History - The Real Python Podcast
Choose platform-as-a-service for simplicity and automation, containers for portability and consistency, and virtual machines for full control and isolation.