ml_lpw1
Machine Learning Practicals Code Access Package.
Installation
pip install ml_lpw1
Quick Start
import ml_lpw1
# View practicals index
ml_lpw1.doc()
# Print code for any practical
ml_lpw1.p1()
ml_lpw1.p2()
ml_lpw1.p3()
ml_lpw1.p4()
ml_lpw1.p5()
ml_lpw1.p6()
ml_lpw1.p7()
ml_lpw1.p8()
ml_lpw1.p9()
ml_lpw1.p10()
You can also import via module:
from ml_lpw1 import ml
ml.doc()
ml.p1()
1 maintainer
Metadata
1 maintainer
Release files for ml-lpw1 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ml_lpw1-0.0.1.tar.gz | 17.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_lpw1-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.4 kB
Release files / ml_lpw1-0.0.1.tar.gz
| Download URL | ml_lpw1-0.0.1.tar.gz |
|---|---|
| Size | 17.0 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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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.5
|
Release files / ml_lpw1-0.0.1-py3-none-any.whl
| Download URL | ml_lpw1-0.0.1-py3-none-any.whl |
|---|---|
| Size | 17.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.5
|
Security for ml-lpw1 0.0.1
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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