Lessons
1Your first chartsDraw line, bar and scatter charts with the three-step Matplotlib recipe, and label them so a manager can read them.7 min
2The Figure & Axes object modelUnderstand Figure, Axes and Artists so you can control every part of a chart instead of fighting pyplot.7 min
3Subplots & stylingPut several panels in one figure, share axes, restyle with rcParams, and export report-ready PNG or SVG files.6 min
4Annotations, labels & ₹ number formattingLabel data directly, format ticks in rupees, lakhs and crores, and point readers to what matters.6 min
5Choosing the right chartPick the chart that matches your question, keep the axes honest, and strip the decoration that hides the message.7 min
6Time-series charts & date axesPlot dates properly with pandas and matplotlib.dates: locators, formatters, rolling averages and gaps.6 min
7Seaborn for statistical plotsUse seaborn on top of Matplotlib to plot distributions, comparisons and relationships from tidy DataFrames.6 min
8Export, accessibility & small-multiple dashboardsSave crisp figures for reports and web, choose colour-blind-safe palettes and build small-multiple dashboards.7 min