Cython hash table that trusts the keys are pre-hashed
NumPy vectorized hash table for fast set and dict operations.
A package for closed addressing hash tables that require chaining with linked lists.
Kademlia is a distributed hash table for decentralized peer-to-peer computer networks.
My CFFI python example hash table
Sophisticate Hash Table
An exercise to learn about hash tables, unit tests, TDD, and Python packages
distributed hash table crawler ui and api server
A hash table (Python dict compatible) that stores data in remote servers. Performance is optimized by using write-back cache.
Kademlia is a distributed hash table for decentralized peer-to-peer computer networks.
Fast & simple key-value storage.
A graphical interface tool, integrated web encoding/decoding method, hash method and the ASCII table.
LightDHT is a lightweight distributed hash table for decentralized networks and applications.
Liaa is a distributed hash table for decentralized peer-to-peer computer networks.
hash tables for vectorizing text-based documents
tokyocabinet aims to be a complete python wrapper for the Tokyo Cabinet database library by Mikio Hirabayashi (http://1978th.net/). So far the btree, hash and table APIs have been fully wrapped.
Kademlia is a distributed hash table for decentralized peer-to-peer computer networks.
provide shared memory based hash table for python
DHT based on Kademlia, and p2p tuple space implementation
Gevent based distributed hash table
R(estricted) E(xtended) Objects. Simple, reasonable fast, restricted/extended python objects.
PyRuSH is the python implementation of RuSH (Rule-based sentence Segmenter using Hashing), which is originally developed using Java. RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and eliminates the effect of rule order on accuracy.