In Django development, while SQLite3 is often used for databases and static/media files are stored locally during development, in production especially on platforms like Heroku - you need to use more robust solutions. Heroku’s dynos are lightweight virtual containers that don’t retain files across redeployments, meaning SQLite3 data, static files, and user-uploaded media would be erased. This is why using third-party cloud services like RDS PostgreSQL for databases and AWS S3 for static/media storage is necessary. Additionally, Django uses Heroku for its rapid deployment, automatic GitHub integration, and built-in SSL support, making it ideal for both simple and complex applications.

"Dynos and Persistence."
March 31, 2025

Python’s asyncio library offers an efficient way to handle concurrent I/O-bound operations using the async and await syntax. Unlike traditional multithreading or multiprocessing, asyncio operates with a single-threaded event loop, allowing coroutines to execute cooperatively. This approach enhances responsiveness and scalability in applications such as web servers and network clients, making asyncio a powerful tool for handling high-performance asynchronous tasks.

"Async schedules, sync stalls."
November 23, 2024

Concurrency in Python enhances program efficiency by allowing multiple tasks to run seemingly simultaneously. Python provides two main concurrency models: multithreading and multiprocessing. While multithreading is well-suited for I/O-bound tasks, multiprocessing enables true parallel execution for CPU-intensive operations. Understanding their differences, benefits, and limitations helps developers optimize performance based on specific use cases.

"Threads share, processes seperate."
June 14, 2024