Parsing JSON at tens of gigabytes per second… in Python
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Score Breakdown
technical depth 9
novelty 8
actionability 7
community 8
strategic 6
personal 8
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High-performance JSON parsing in Python is directly actionable for data engineering and showcases novel optimization techniques.
Summary
12 October 2026 · 5 min Python used to have limited parallelism, due to its global interpreter lock (GIL). Only one thread could run Python code at a time. Python 3.14 comes in a free-threaded version ( python3.14t ), without the global interpreter lock. Several threads can now run Python code at the same time. Let us pick a realistic problem. GitHub publishes everything that happens on its public repositories: pushes, issues, pull requests, stars, and so forth. The GH Archive project collects these events