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-1.2.0.tar.gz
(15.6 kB
view hashes)
Built Distribution
Close
Hashes for wf-core-data-python-1.2.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ce694e80d33355f3171763bb7f895a0d90001e4dff991b790948c0a477fe6948 |
|
MD5 | 4061307b2fd04daeb338aa96e276fa5c |
|
BLAKE2b-256 | 367c9eebbdf13026cdf6606cff29f8a427750513c86c407d6f8b035b1ee70311 |
Close
Hashes for wf_core_data_python-1.2.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6feea77b65a181a89535d0096901cbe1de5d27d4cdb266c4ef6deb0c530a1393 |
|
MD5 | d0485f815a77cf0c9a0817db01637614 |
|
BLAKE2b-256 | a9e8663f7d93fe01e4ce3762f53d3798366f613cc9dcb5598d92736037ac2dd9 |