data science utils for data preprocessing for feeding various models, pipelining, time data format converting
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1 maintainer
Release files for dsutils 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dsutils-0.1.6.tar.gz | 10.6 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dsutils-0.1.6-py2.7.egg | Legacy Egg format | - | - | Details |
| dsutils-0.1.6-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 51.5 kB
Release files / dsutils-0.1.6.tar.gz
| Download URL | dsutils-0.1.6.tar.gz |
|---|---|
| Size | 10.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / dsutils-0.1.6-py2.7.egg
| Download URL | dsutils-0.1.6-py2.7.egg |
|---|---|
| Size | 27.9 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / dsutils-0.1.6-py2-none-any.whl
| Download URL | dsutils-0.1.6-py2-none-any.whl |
|---|---|
| Size | 12.9 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
