Python tools for working with Wildflower Schools core data
Project description
# wf_core_data
Python tools for working with Wildflower Schools core data
## Tasks * Consider splitting library into atomic libraries for each assessment and data source * Update naming of submodules and functions to be more consistent across assessments * NWEA: Add ability to handle more detailed data download (separate test event and student files)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
wf-core-data-python-1.1.1.tar.gz
(26.1 kB
view hashes)
Built Distribution
Close
Hashes for wf-core-data-python-1.1.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 11971143d2712180970d4a74b7c330b6a242663b8ea28f8e4c744fc7610d3f47 |
|
MD5 | 61331ad969e3d0ba752e19c0cd5db4a9 |
|
BLAKE2b-256 | 554c253aba9137923dd19018b73b89d01624f136b59f0a1f519ab4f3d2a3837e |
Close
Hashes for wf_core_data_python-1.1.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5048677fa3c2b06f876186e3d30313504c8ca72b8a3c1daf2f5b16ae875a572e |
|
MD5 | 4a80ec95672977dcd91425b95f1b56d1 |
|
BLAKE2b-256 | 015340a07c5e818c21f4dcae491f19cd2230fca1e2750211b51481930531a610 |