Your real code runs in the browser and every step is animated — rows dropping out of a filter, variables changing, a DataFrame reshaping.
Each one is a full academy with its own visualizer. Every lesson ends in a test you have to pass before it counts as done.
Joins, aggregation, CTEs, window functions.
You watch: each row tested by the WHERE clause, one at a time.
Open the SQL academy →Syntax through OOP, generators, and data structures & algorithms.
You watch: the call stack grow and unwind on every recursion.
Open the Python academy →Series and DataFrames to groupby, merge, reshape and time series.
You watch: the DataFrame change shape as the filter runs.
Open the Pandas academy →Figures and axes to heatmaps, 3D and animation.
You watch: the chart draw itself, bar by bar.
Open the Matplotlib academy →Honest coverage. One path is complete today; two are partly built.
SQL to pull it, Python to process it, Pandas to shape it, Matplotlib to show it.
Complete today — all 214 lessons available.
The programming foundation is live. The statistics layer is still being written.
Data structures & algorithms now ship inside the Python track. Statistics and ML still in build.
Querying and reporting. The BI tooling track has not started yet.
Power BI still in build.
Three things that are true here and mostly are not elsewhere.
In your browser, not a recorded video. Change a value, break a join, run it again — the output changes because it was computed, not replayed.
A loop counter moving, a DataFrame changing shape, rows dropping out of a filter. The invisible half of execution is the half you watch.
Each one ends in a test you must pass before it counts. Progress means you produced the right answer, not that a video finished playing.
Open a lesson, run the code, watch it execute. Or paste your own code straight into the Visualizer. No account needed either way.