As of 2023, while Python remains central to data science, the percentage of developers using it for data analysis and machine learning has decreased, indicating shifting trends.
Even with the decline in some uses, 27% of Python developers are engaging in data engineering and 8% in MLOps, showing the evolution of roles in the field.
Data processing tools like pandas are still preferred by 77% of data exploration users due to their stability and extensive community support, despite the rise of alternatives like Polars.
The declining interest in traditional Python applications for data analysis and machine learning signals a potential shift in how data professionals are approaching their work.
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