
Flask is Great! A Python Developer's Journey from Machine Learning to Web Backend
Flask is Great! A Python Developer's Journey from Machine Learning to Web Backend The Pain Point: Transitioning from ML Scripts to Production APIs For years, I lived in the comfortable world of Jupyter notebooks and Python scripts. My background in machine learning meant I was comfortable manipulating data, building models, and creating command-line tools. But there was a glaring gap in my skillset: I had no idea how to actually serve these models or tools to users through a web interface. When I decided to venture into backend development, I faced a familiar but frustrating problem. My previous experience was limited to PHP—a language that felt archaic compared to the elegance and expressiveness of Python. The prospect of learning an entirely new language and ecosystem just to build web applications seemed like a massive step backward. I wanted to leverage my Python expertise, not abandon it. The market was flooded with heavyweight frameworks like Django, which felt like overkill for
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