Numlyx
A small menu-driven collection of Data Analytics and Machine Learning practical source examples.
Run locally
python -m numlyx
Choose a number to display that practical's source directly. This package displays code; it does not automatically execute selected practicals. Dataset paths in the original examples may need to be changed to match your computer.
Install from PyPI (after publication)
python -m pip install numlyx
python -m numlyx
1 maintainer
Metadata
1 maintainer
Release files for numlyx 1.0.0
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 | |
|---|---|---|---|---|
| numlyx-1.0.0.tar.gz | 11.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| numlyx-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.4 kB
Release files / numlyx-1.0.0.tar.gz
| Download URL | numlyx-1.0.0.tar.gz |
|---|---|
| Size | 11.7 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/3.13.2
|
Release files / numlyx-1.0.0-py3-none-any.whl
| Download URL | numlyx-1.0.0-py3-none-any.whl |
|---|---|
| Size | 15.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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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/3.13.2
|
Security for numlyx 1.0.0
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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