College scatter plots (0.2.32)
from ltc_code.plot_colleges import plot_colleges provides an OI-themed
scatter with explicit Polars x/y aggregations, college grouping, optional
filters and categorical color groups. Plotting additionally requires
oi-tools, plotnine, and pyarrow in the analysis environment; they are
not required to run the NSC build. See NSC extensions
for attendance definitions, coarsening names, and plotting examples.
Paper exhibits (0.2.33)
The complete standalone LaTeX PDF workflow is bundled under
src/ltc_code/paper (installed as ltc_code/paper). It includes the
fixed disclosed and replaceable pending Excel workbooks, Python scripts,
LaTeX templates, and table/figure exclusion controls. See
paper instructions. Copy that whole directory
to a writable working location and run bash run_latex.sh. The paper
workflow uses its own pinned Python dependencies and requires LaTeX;
the existing package dependencies are unchanged.
1 maintainer
Metadata
1 maintainer
Release files for ltc-code 0.2.37
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ltc_code-0.2.37.tar.gz | 54.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ltc_code-0.2.37-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 108.2 MB
Release files / ltc_code-0.2.37.tar.gz
| Download URL | ltc_code-0.2.37.tar.gz |
|---|---|
| Size | 54.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b0db6492a22e71ffb4dbb7badbe6c0848288e26ce501f253c10e52aa7c04b4cd
|
|
BLAKE2b-256 checksum How to use checksums |
3242ef30f1533a7587b55c54b246a7ae24402f16c82bc0c92067732bd88d364b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 28, 2026.
Transparency logRelease files / ltc_code-0.2.37-py3-none-any.whl
| Download URL | ltc_code-0.2.37-py3-none-any.whl |
|---|---|
| Size | 54.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
20d6f5c81d7dd3504ee26442ef0eccacdddc1ed85a1e3e5e8c4201d486e96c1b
|
|
BLAKE2b-256 checksum How to use checksums |
288be42225f8a558c810c59f084360603b08bc31d746c4b9172d39106b59d937
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 28, 2026.
Transparency log
