Python tools for working with Wildflower Schools core data
Project description
# wf_core_data
Python tools for working with Wildflower Schools core data
## Tasks * Propagate changes above to FastBridge analysis * NWEA: Add ability to handle more detailed data download (separate test event and student files) * Consider splitting library into atomic libraries for each assessment and data source * Update naming of submodules and functions to be more consistent across assessments
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-1.0.0.tar.gz
(26.4 kB
view hashes)
Built Distribution
Close
Hashes for wf-core-data-python-1.0.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ab82fb8b372ed138e2a0442eb6cb6b179ec497c3cd496c35f4f0124accbe8773 |
|
MD5 | e10371fbe9f295a778e0542404de2af1 |
|
BLAKE2b-256 | 1657ed95c0664a30b4f14b26de7caf3b932224dc4dbc58e9d5bd7ab1efb2c82f |
Close
Hashes for wf_core_data_python-1.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ee1bf30be10d058498f37253f0b8ca0dd6fe659b5d7138039eeb761ee7f17c58 |
|
MD5 | 04e168dc71d1da6906d588f6f1596fea |
|
BLAKE2b-256 | 3c93113a8249e79a38e926a4f0a3fd20a8767975782f9d2d845fe6fe323766c3 |