Suggested performance improvements
- Dominant language
- Python
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- 2
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Description
The following are suggestions to improve performance or memory usage. See #5 for benchmarks.
**Packet Parsing**
- [ ] Cython/Numba
- [ ] replace pcapy/libpcap with native Python
**Bulk Loading**
- [ ] named tuple
- [ ] class with `__slots__`
- [ ] numpy complex dtype
- [ ] pre-allocated Pandas dataframe (estimate upper bound)
I also used pyflame when profiling #5. This could help when comparing any of the above suggestions. To see a breakdown of how much time is used during parsing and loading, I've included the flamegraph when loading a 1GB file with 3M+ packets:
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