The rise of large language models (LLMs) has transformed how we develop software. Are you leveraging LLMs to boost productivity—and what benefits or risks have you encountered?
Python’s scientific computing ecosystem offers a wide range of tools for machine learning and AI. From classification to regression and forecasting, many tasks can be tackled with just a few lines of code. How are you applying ML/AI in your projects?
Python’s vast ecosystem of packages makes it an incredibly powerful tool, especially in finance. Libraries like pandas and numpy are foundational for many data workflows. But what other Python packages do you rely on—and what makes them useful in your work?
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