queryable

SQLite in memory without boiler plate

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

MemDB SQLite in-memory database without the boilerplate

If you know would like to work with a SQL-based data structure in memory, this module makes your life as easy as possible

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.1.dev0 pre-release

Dec 6, 2018

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Dec 6, 2018 Source

Uploaded Dec 6, 2018 Python 2

Hashes for queryable-0.1.dev0.tar.gz
Algorithm	Hash digest
SHA256	`1cec40be345335259f15f7d2bfbe53b784dfb47eafc6cb7df20363eaccc057f8`
MD5	`fe2f7a6d740ed88d209d4c15f8afd0f9`
BLAKE2b-256	`cc46bda17b6654cbde9a67e769c9d32f0710f19b101a25b86bafe5e2a7cefd3e`

Hashes for queryable-0.1.dev0-py2-none-any.whl
Algorithm	Hash digest
SHA256	`1055221c23e2fec0252d1e1c0e08554a4cdb8055218057bb5788b58ee894a81f`
MD5	`2f0fec42de6616167808c9aa0dea5e84`
BLAKE2b-256	`a8c3781cc832c3b4babcfcb29f9de6ce443b748a5e10c9026e2764eca37afc1f`