Answer
Matplotlib for low-level charts,
Seaborn for statistical visualizations,
Plotly/Bokeh for interactive plots.
Seaborn for statistical visualizations,
Plotly/Bokeh for interactive plots.
Quick Answer
Python data viz: matplotlib (low-level, flexible, foundation of others). seaborn (statistical plots on top of matplotlib, beautiful defaults). plotly (interactive charts, works in Jupyter and web). Altair (declarative, grammar of graphics). bokeh (interactive web plots). In Jupyter: %matplotlib inline. For production dashboards: Dash (plotly) or Streamlit. Choose matplotlib for static, plotly for interactive.
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SugharaIQ Editorial Team
Verified Answer
This answer has been peer-reviewed by industry experts holding senior engineering roles to ensure technical accuracy and relevance for modern interview standards.
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Source: SugharaIQ