Plotly Tutorial for Python: Basic Interactive Charts (Plotly Part 1)
Plotly tutorial for Python: interactive charts in one Plotly Express call, when to use Graph Objects, styling, faceting, and HTML exports 100x smaller.
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Plotly tutorial for Python: interactive charts in one Plotly Express call, when to use Graph Objects, styling, faceting, and HTML exports 100x smaller.
Advanced Plotly charts in Python: subplots, dual axes, animation, 3D and heatmaps, plus the axis-range mistake that silently drops points from animations.
Matplotlib styling for report-ready charts: rcParams, style sheets, colormaps, annotation and clean export, and why plt.style.use('seaborn') now fails.
The data science tools working analysts actually use, what each is for, when to learn it, and the validation techniques that matter more than any library.
How to choose a data analytics course with Python online: five options compared, the small Python subset analysts need, and why SQL still comes first.
Programming for data science: how much SQL and Python you need, what reproducible code looks like, the notebook traps, and where AI assistants help or hurt.
Looking for the best data science course in India? Nine programmes ranked by fees, duration and checked placement claims, with who each one suits.
The future of programming languages, using TIOBE, Stack Overflow and GitHub data: why Python and TypeScript lead, types are winning, and what to learn.
NumPy aggregation along axes, NaN-safe statistics, argmax, sorting and linalg.solve, plus why NumPy and pandas return different standard deviations.