About the pproject
Predicted price change for iPhone in XX years
how to install pproject
$ pip install pproject
required Libraries
pandas
numpy
scikit-learn
matplotlib
datetime
how to run pproject
< ~ .py>
import pproject
pproject.price_fluctuation_now()
$python ~.py
classification0 : iPhone SE series
classification1 : Regular iPhone series
classification2,3,4 : Other series (Pro, Plus, etc.)
< ~ .py>
import pproject
pproject.Predicted_price_change_in_XX_years(100)
$python ~.py
Prediction by regular series
1 maintainer
Metadata
1 maintainer
Release files for pproject 0.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pproject-0.0.8.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pproject-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.0 kB
Release files / pproject-0.0.8.tar.gz
| Download URL | pproject-0.0.8.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.0 CPython/3.12.3
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Release files / pproject-0.0.8-py3-none-any.whl
| Download URL | pproject-0.0.8-py3-none-any.whl |
|---|---|
| Size | 3.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.3
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