I Lost 25 Pounds Thanks to Python: Personal Data Analytics Using Pandas and Numpy
summary
Claim: a 25‑pound reduction using Python scripts that pull Apple HealthKit exports (via QS Access or Dropbox), clean daily weigh‑ins from a $30 scale, and analyze with pandas and NumPy, visualized with matplotlib. Controlled daily measurements, linear interpolation, a five‑day moving average, and day‑to‑day differencing reveal a clear downward trend yet half the days increase and occasional multi‑pound spikes. Deliverables: CSV pipeline, plotting code, histograms of changes, and an interactive REPL demo.
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chapters (9)
- 0:00Start
- 8:53"Hawthorne Effect" ..
- 10:53Think like a scientist
- 15:12Feedback control loop
- 15:33Inputs and outputs
- 16:27Ideal data analysis pipeline
- 17:17Actual data analysis pipeline
- 29:37Summary and Conclusion
- 30:04Future extensions
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