Cython hash table that trusts the keys are pre-hashed
NumPy vectorized hash table for fast set and dict operations.
Kademlia is a distributed hash table for decentralized peer-to-peer computer networks.
A package for closed addressing hash tables that require chaining with linked lists.
An exercise to learn about hash tables, unit tests, TDD, and Python packages
Fast & simple key-value storage.
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.
hash tables for vectorizing text-based documents
My CFFI python example hash table
Sophisticate Hash Table
Liaa is a distributed hash table for decentralized peer-to-peer computer networks.
LightDHT is a lightweight distributed hash table for decentralized networks and applications.
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.
A graphical interface tool, integrated web encoding/decoding method, hash method and the ASCII table.
provide shared memory based hash table for python
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.
R(estricted) E(xtended) Objects. Simple, reasonable fast, restricted/extended python objects.
Gevent based distributed hash table
DHT based on Kademlia, and p2p tuple space implementation