When using Python for back-end development, its simple syntax and powerful libraries like Django and Flask help to build back-ends quickly and enable scaling. However, Python can be slow for CPU-intensive tasks, and concurrency is restricted by the GIL, which may pose a challenge in high-performance applications.
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David is a Senior Software Engineer with 8 years of experience specializing in scalable backend systems using Python, Django, and FastAPI. He has demonstrated expertise in PostgreSQL and has worked extensively with various te... Read More
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