semvec/pypi-packages huggingface dataset:
Price-Comp 1.0.0
Pacote para mostrar preços de produtos de uma pagina do site da amazon

PriceComp
===================
#### esse pacote mostra os preços dos produtos de uma página da amazon em um gráfico de barras

## Instalação

` pip install PriceComp `

## Uso

```
import PriceComp as PC
link = 'https://www.amazon.com.br/link_pagina_produtos'
pc = PriceComparison()
pc.get_price(link)
```
dask-deltasharing 0.0.3
A library for accessing tables from Delta Sharing as Dask DataFrames
Requires Python: >=3.7

# Dask Delta Sharing

This library lets you access tables in [Delta Sharing](https://github.com/delta-io/delta-sharing/)
as [Dask DataFrames](https://docs.dask.org/en/stable/dataframe.html).

Usage:

```python
import dask_deltasharing as dds
df = dds.load_as_dask("test-profile.json#main.default.test_table")
```
iPyPlayer 0.0.0
innovata-PyPlayer
Requires Python: >=3.9


# iPyPlayer


### ============================================================
### Overview
### ============================================================


### ============================================================
### PyCharm를 이용한 파이썬64비트 가상환경 구성
### ============================================================

6. 64비트 가상환경 구성
6.0 python3.9-64bit Installer 로 설치
6.1 PyChar실행
6.2 File / Settings / Python Interpreter
- ipp_env_py39_64bit 폴더명 설정
- C:\Python39\python.exe 선택
cd "C:\pypjts\iPyPlayer"
6.3 .\ipp_env_py39_64bit\Scripts\activate
6.4 pip install --upgrade pip
6.5 pip install -r requirements.txt

<!-- 쥬피터 환경설정 -->
6.6 pip install jupyter
6.7 pip install ipykernel
6.8 python -m ipykernel install --name=env_py39_64bit
6.9 jupyter notebook
6.10 메뉴 / Kernel / Change kernel


### ============================================================
### PyPi 패키지 업로드
### ============================================================
1. py -m pip install --upgrade build
2. py -m build
3. py -m pip install --upgrade twine
4. setup.py 파일내용변경
5. py -m twine upload --repository pypi dist/*
demcmc 1.1.0
Differential Emission Measure calculations using Monte Carlo methods.
Requires Python: >=3.8

# demcmc
Differential Emission Measure estimation using MCMC methods

[![codecov](https://codecov.io/gh/dstansby/demcmc/branch/main/graph/badge.svg?token=5LIRszKxGL)](https://codecov.io/gh/dstansby/demcmc)
[![Documentation Status](https://readthedocs.org/projects/demcmc/badge/?version=latest)](https://demcmc.readthedocs.io/en/latest/?badge=latest)
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/dstansby/demcmc/main.svg)](https://results.pre-commit.ci/latest/github/dstansby/demcmc/main)

## Contributing

We love contributions! demcmc is open source, built on open source, and we're open to all types of contributions from anyone.

Contributing doesn't just mean writing code. You can help out by writing documentation, tests, or even giving feedback about the project (and yes - that includes giving feedback about the contribution process). Some of these contributions may be the most valuable to the project as a whole, because you're coming to the project with fresh eyes, so you can see the errors and assumptions that seasoned contributors have glossed over.
testpypisszczygielski 0.0.1
My test package
Requires Python: >=3.7
Keywords: testpypisszczygielski,name,sufname,fun

## `testpypisszczygielski` - My simple Project

* opt 1
* opt 2
* opt 3

## Install

###`pip install testpypisszczygielski`

### Usage
from m_mod_sszczygielski.py import name\
from m_mod_sszczygielski.py import get_numpy_arr\
print(name("sebastian",  "szczygielski"))\
print(get_numpy_arr([1, 2, 3, 4, 5]))\

###Author 
*SEBA*
testpypipekuk 0.0.1
My test package
Requires Python: >=3.0
Keywords: testpypipekuk,name

# `testpypipekuk` - My Simple Project

* Opt1
* Opt2
* Opt3

## Instal
```python
pip install testpypipekuk
```
### Usage

```python
from testpypipekuk.m_mod_ek import name as n
from testpypipekuk.m_mod_ek import get_numpy_arr
>>> n('Name', 'Surname')
Name Surname
>>> get_numpy_arr(([1,2,3,4,5]))
[1 2 3 4 5 ]
```
heat-desalination 1.0.0a3
Hybrid Electric And Thermal Desalination
Requires Python: >=3.10

# HEATDesalination
Simulation and optimisation of hybrid electric and thermal powered desalination systems

#### Table Of Contents

:link: [Dependencies](Dependencies)

:clap: [Acknowledgements](Acknowledgements)

[Downloading HEATDesalination](#downloading-heatdesalination)

🐍 [Setting up your Python environment](#setting-up-your-python-environment)
  * [Anaconda method](#anaconda-method)
  * [Pip install](#pip-install)

🌦️ [PVGIS](#pvgis)

:memo: [Completing input files](#completing-input-files)
* [Location-based files](#location-based-files)
* [System-based files](#system-based-files)

:fire: [Running HEATDesalination](#running-heatdesalination)
* [Fetching weather data](#fetching-weather-data)
* [Running a simulation](#running-a-simulation)
* [Running an optimisation](#running-an-optimisation)
* [Parallel simulation and optimisation](#parallel-simulation-and-optimisation)

🎓 [Running HEATDesalination on Imperial College London's high-performance computers](#running-heatdesalination-on-imperial-college-londons-high-performance-computers)

:memo: [References](References)

## Dependencies
This module imports libraries from:
* The open-source `pvlib` Python package developed by Holmgren, Hansen and Mikofski [[1]](#1).

This module integrates with the open-source PVGIS framework, developed by Huld et al., [[2]](#2).

## Acknowledgements
This repository uses code developed by the [CLOVER-energy](https://github.com/CLOVER-energy) team by Winchester et al. [(2022)](#3). Thanks to all at the [@CLOVER-energy/clover-development-team](https://github.com/orgs/CLOVER-energy/teams/clover-development-team) for their work.

## Downloading HEATDesalination

## Setting up your Python environment

### Anaconda method

### Pip install

## PVGIS

## Completing input files

### Location-based files

### System-based files

## Running HEATDesalination

### Fetching weather data

### Running a simulation

### Running an optimisation

### Parallel simulation and optimisation

## Running HEATDesalination on Imperial College London's high-performance computers

## References
<a id="1">[1]</a> 
Holmgren W.F., Hansen C.W., Mikofski M.A., pvlib python: a python package for modeling solar energy systems. Journal of Open Source Software 2018;3:884. [https://doi.org/10.21105/joss.00884](https://doi.org/10.21105/joss.00884)

<a id="2">[2]<a/>
Huld, T., Müller, R. and Gambardella, A., 2012. "A new solar radiation database for estimating PV performance in Europe and Africa". Solar Energy, 86, 1803-1815. [http://dx.doi.org/10.1016/j.solener.2012.03.006](http://dx.doi.org/10.1016/j.solener.2012.03.006)

<a id="2">[3]<a/>
Winchester, B., Beath, H., Nelson, J., & Sandwell, P. (2022). CLOVER (Version v5.0.5) [Computer software]. https://doi.org/10.5281/zenodo.6925535