Analyzing code contributions to the CPython project using NetworkX and Matplotlib
summary
Builds a reproducible pipeline that turns repo events into a bipartite developer‑file graph, uses NetworkX and Matplotlib to compute k‑components, cohesion and centrality, and plots a temporal 3D layout for CPython 1989–2015. Claims a stable small core — roughly 40% of developers year‑by‑year occupy top positions and these nodes account for the bulk of contributions — and measures turnover with median survival 6 vs 12 years for casual vs core contributors. Code and NetworkX implementation details are part of the deliverable.
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chapters (12)
- 0:00Analyzing CPython contributions
- 3:19Group cohesion foundations
- 8:55Modeling collaboration network
- 13:44Hierarchical contributor structure
- 16:55Oligarchy in open-source
- 20:05Developer contributions survival
- 23:23Q&A
- 26:02GitHub project analysis
- 27:51Power dynamics and inclusivity
- 31:26Open-source vs cooperative systems
- 34:05Temporal participation spikes
- 36:41Practical open-source applications
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