semvec/pypi-packages huggingface dataset:
filedgr-nft-protobuf 1.0.0
Serialization/Deserialization package for Filedgr NFTs
Requires Python: >=3.9
Keywords: filedgr,nft,serialization

# filedgr-nft-protobuf-python

This package wraps the serialization and deserialization of a Filedgr NFT URI. The protobuf package is used to allow a basic versioning from the beginning, and errorless multi-platform serialization/deserilaization.

The fields encoded in the NFT URI are:
- The NFT ID, which should be unique as per convention it will be complemented by a range of technical utility tokens. These can include transaction tokens for NFT updates and Access tokens for token gating.
- The Campaign ID: A unique ID for a NFT campaign, or user of suctomer.
- The NFT URI: as in other NFTs the link to actual object of the NFT.
plsdsm 0.0.1
A Python package for Partial Least Squares
Keywords: python,regression,PLS,classification,p-value,correlation


# dspls
This is a Partial Least Squares (PLS) package based on Python.

Partial least squares (PLS) is an extension of PCA in which both the  X and Y data are considered. In PCA, only the X data is considered. The goal of the PLS analysis is to build an equation that predicts Y values based on X data.

# Update
0.0.1 Finish the code of Basic PLS

0.0.2 Update the KernelPLS


# Download
The requirements are listed in "requirements.txt"

Use "pip install git+https://github.com/achrafs758/PLS-from-scratch.git" to install.
ls-vo 0.0.1
lists visible only in a given dir

usage: lists only non hidden items in a given directory

package consist of 1 file with 1 function: ls_visible_only -> ls_visible_only -> list_non_hidden_content()

Note: Default parameter (option) of 1 in effect if no other is supplied
Note: This function was created with Linix and Mac users in mind

Takes an int value of either 1 or 2 which is expressed as options

option 1: returns either a list of all non hidden [directories + files] 
option 2: a list of lists of non hidden [directories , files]
plsds 0.0.1
A Python package for Partial Least Squares
Keywords: python,regression,PLS,classification,p-value,correlation


# dspls
This is a Partial Least Squares (PLS) package based on Python.

Partial least squares (PLS) is an extension of PCA in which both the  X and Y data are considered. In PCA, only the X data is considered. The goal of the PLS analysis is to build an equation that predicts Y values based on X data.

# Update
0.0.1 Finish the code of Basic PLS

0.0.2 Update the KernelPLS


# Download
The requirements are listed in "requirements.txt"

Use "pip install git+https://github.com/achrafs758/PLS-from-scratch.git" to install.
dsmpls 0.0.1
A Python package for Partial Least Squares
Keywords: python,regression,PLS,classification,p-value,correlation


# dspls
This is a Partial Least Squares (PLS) package based on Python.

Partial least squares (PLS) is an extension of PCA in which both the  X and Y data are considered. In PCA, only the X data is considered. The goal of the PLS analysis is to build an equation that predicts Y values based on X data.

# Update
0.0.1 Finish the code of Basic PLS

0.0.2 Update the KernelPLS


# Download
The requirements are listed in "requirements.txt"

Use "pip install git+https://github.com/achrafs758/PLS-from-scratch.git" to install.
detect-probe 0.9.26
A Prelude Probe for Detect
Requires Python: >=3.8

# Presto

> One of Chopin's 24 Preludes. A virtuosic prelude, presents a technical challenge with its rapid hold-and-release of eighth notes against quarter notes in the right hand, involving chromatic movement.

## Install

```bash
pip install detect-probe
```

## Quick start

Include presto in a project with:

```python
from detect_probe.service import ProbeService

service = ProbeService(account_id='<ACCOUNT_ID>', secret='<ACCOUNT_TOKEN>')
token = service.register()
service.start(token=token)
```
python-simplifier 1.5.1
A module to assist in simplifying your python experience
Requires Python: >=3.9

# Python Simplifier

A module to assist in simplifying your python experience

## How to install:
* Windows: `pip install python-simplifier`
* Mac/Linux: `pip3 install python-simplifier`


### Links:
* [Github](https://github.com/ametsch/python-simplifier)
* [PyPI](https://pypi.org/project/python-simplifier/)