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numerical-mooc/numerical-mooc ★ 970 1497 DATA_RESEARCH

This repository contains the legacy edition of 'Practical Numerical Methods with Python', a multi-campus MOOC (2014–2016) on numerical methods for science and engineering. It is organized as five stacked modules covering ODE integration (phugoid flight dynamics), finite-difference PDEs (convection, diffusion, waves), and elliptic problems (Laplace, Poisson, Stokes flow). The primary content is 26 Jupyter notebooks with interleaved theory, code, and assignments, plus helper Python modules and data files. The course is explicitly no longer updated; development has moved to a separate repository. The codebase is pedagogically strong but suffers from outdated dependencies (Python 3.4, NumPy 1.9.2, Numba 0.20.0), broken imports (numba.autojit removed), and reliance on a decommissioned Open edX platform for assessments. No tests, CI, or modern packaging exist. The repository is best treated as a historical archive and reference for numerical method patterns, not as a runnable course.

RATING: 5.8/10 REPRO: 4.0/10 MAINT: stale DRIFT: high
▸ 3 reusable components found
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