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-1.4.0.tar.gz
(19.2 kB
view hashes)
Built Distribution
Close
Hashes for wf-core-data-python-1.4.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1f5e5e2dd7e58cdb69f92fe7f199d58293cd80a559baf9f6d9675b007a1bafaf |
|
MD5 | 64721994176a1ca7e8fb95d138f13392 |
|
BLAKE2b-256 | f8ac4944114b76ca013672e00966bc88f2309143b0680f12437423af77427b14 |
Close
Hashes for wf_core_data_python-1.4.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a8ff7c24e0ba19e496d54cabc0b68a885355d244ee0d474581e9537c4f7fa8fd |
|
MD5 | 8df95fb183b0f14f02d01d7918a022cd |
|
BLAKE2b-256 | 01772da7a4eab897b374337811311dd4a5337e141b1d1d70897d0856055c3b84 |