Python software-architecture Projects
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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less_slow.py
Playing around "Less Slow" coding practices in Python, from numerical micro-kernels to coroutines, ranges, and polymorphic state machines
Great question! This has been top of mind for me for the last 2–3 years.
Short answer: sadly, no. I love the "usability" promise of coroutines—and even have 2–3 FOSS projects that could be rewritten entirely around C++ or Rust coroutines for better debuggability and extensibility—but my experiments show that the runtime cost of most coroutine‑like abstractions is simply too high. Frankly, I’m not even sure if a better design is possible on modern hardware.
This leads me to conclude that, despite my passion for SIMD and superscalar execution, the highest‑impact new assembly instructions that x86 and Arm could standardize would center on async execution and lightweight context switching... yet I haven’t seen any movement in that direction.
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I also wrote toy examples for various range/async/stream models in C++, Rust, and Python, with measured latencies in inline comments:
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Index
# | Project | Stars |
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1 | pumla | 119 |
2 | less_slow.py | 114 |