PHYSICS / 01–06

Physics

6 independent, runnable lessons connecting questions, traceable inputs, transparent methods and interpretation. One notebook download starts each workflow.

Learning path 01 → 02 → 03 → 04 → 05 → 06; every lesson also runs independently.
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6 recipes

Compare nonlinear and small-angle pendulums — executed figure
01 / Intermediate50 minOffline core

Compare nonlinear and small-angle pendulums

Integrate a declared ideal model, estimate periods from crossings and audit energy conservation.

numpy · pandas · scipy · matplotlib · IPython
Inspect damping and forced resonance — executed figure
02 / Intermediate50 minOffline core

Inspect damping and forced resonance

Connect free decay, steady frequency response and time-domain integration with dimensional parameters.

numpy · pandas · scipy · matplotlib · IPython
Integrate a projectile with quadratic drag — executed figure
03 / Intermediate50 minOffline core

Integrate a projectile with quadratic drag

Stop at a ground event, compare a vacuum reference and reconcile mechanical-energy loss with drag work.

numpy · pandas · scipy · matplotlib · IPython
Check a heat-diffusion solver — executed figure
04 / Intermediate50 minOffline core

Check a heat-diffusion solver

Enforce the explicit stability limit, compare a known sine-mode solution and measure grid convergence.

numpy · pandas · scipy · matplotlib · IPython
Inspect real GW150914 detector strain — executed figure
05 / Advanced60 minOffline core

Inspect real GW150914 detector strain

Audit a frozen Hanford record, estimate a spectrum and inspect a declared zero-phase band-pass without claiming a new detection.

numpy · pandas · scipy · matplotlib · IPython
Reconcile Planck, Wien and Stefan–Boltzmann laws — executed figure
06 / Intermediate60 minOffline core

Reconcile Planck, Wien and Stefan–Boltzmann laws

Compute spectral radiance from frozen SI constants, locate wavelength peaks and verify integrated exitance.

numpy · pandas · scipy · matplotlib · IPython