colassigner
fitting somewhat complex, nested data structures into tables, and removing the need to remember the name and construction logic of any column, if you can rely on static analysis
things to think about:
- draw a reliance dag based on calls
- pivot table: data content based columns
- enum type support
- changing record entity type
- partial inheritance / composite types
1 maintainer
Release files for colassigner 0.4.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| colassigner-0.4.2.tar.gz | 20.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| colassigner-0.4.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.5 kB
Release files / colassigner-0.4.2.tar.gz
| Download URL | colassigner-0.4.2.tar.gz |
|---|---|
| Size | 20.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a4e80ae04d9b2754f5b65afa95ba6447603e9a1dd4097562ae1173f398af6413
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
python-requests/2.31.0
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Release files / colassigner-0.4.2-py3-none-any.whl
| Download URL | colassigner-0.4.2-py3-none-any.whl |
|---|---|
| Size | 13.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
43968562faeb7801aebf70abfeb14be597391d2073a065512455bd56ccc8cff8
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.31.0
|
