semvec/pypi-packages huggingface dataset:
geometry1 0.1
This package is useful for some geometric calculations

Библиотека 'geometry1' обеспечивает следующий 
интерфейс доступа к классам:  
1.1 Доступ к точке (class Point)  
1.2 Доступ к линии (class Line)  
1.3 Доступ к треугольнику (class Triangle)  
В классе 'Line' реализуется метод length, который 
находит расстояние между двумя точками.  
В классе 'Triangle' реализуется метод perimeter, которые 
находит периметр треугольника по координатам его вершин. 
В этом классе также реализуется метод square, 
который находит площадь треугольника по координатам его
вершин.
TI-Lib 0.0.1
This is a technical indicators library which is highly useful in the technical analysis of stock market data.
Requires Python: >=3.10

# TI-Lib
This is a technical indicators library which is highly useful in the technical analysis of stock market data.

> * Includes 12+ indicators such as MACD, Bollinger Bands, ATR, RSI, 
>   Stochastic, ROC, ADX, SuperTrend, VWAP etc.

## Installation

You can install from PyPI:

```
pip install TI-Lib
```

## Getting started with TI-Lib

```python
from tilib import indicators as ic
import yfinance as yf

data_df = yf.download("TCS.NS", period="5d", interval="5m")
rsi = ic.RSI(data_df, 14)
print(rsi)

```

## Supported Indicators

You can get all the technical indicator functions supported by TI-Lib

```python
import tilib

# List of functions
print(tilib.get_functions())
```

## Input to every indicator function
You have to give data in the form of pandas dataframe as first parameter with columns are in ["Open", "High", "Low", "Close", "Volume"] format.
ad-cs107 0.0.2
Autodifferentiation Package using Dual Numbers
Requires Python: >=3.9

# team28
CS107 Final Project Repository

![.github/workflows/test.yml](https://code.harvard.edu/CS107/team28/actions/workflows/test.yml/badge.svg)

![.github/workflows/coverage.yml](https://code.harvard.edu/CS107/team28/actions/workflows/coverage.yml/badge.svg)
pyfinance-tunisia 0.0.9
A python library that can help developer to see much informations about tunisian companies in stock market
Requires Python: >=3.6
Keywords: financial ratios,BVMT,Ilboursa,Finance,Tunisia

# Python library about financial informations extraction tunisian companies in the stock market
[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 
[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   

## Functionality of pyfinance_tunisia

    Income statement indicators : EBIT ,EBITDA ,Gearing ,Return on equity ,Net profit...

    Balance sheet indicators : Net debt ,Need in funds ,Revenue ,Equity...

    Long term stock market indicator : P/E ,Dividend Yield ,P/B	,Pay out...	

    The company's shareholders : The shareholder name and the percentage % .

    Dividend : Dividend per share ,Distribution date ,Total amount...

    the financial news of all Tunisian companies can be useful for your analysis
## Usage

-Make sure you have Python installed in your system.

-Run Following command in the CMD.
 ```
  pip install pyfinance_tunisia .
  ```
## Example

 ```
from pyfinance_tunisia import list_stocks,company,news

#Fist you need to see all tunisian companies in stock market
Tunisian_stocks=list_stocks()

#Choose one company that we are intersting in .
# We take example of ADWYA company.

# With income_statement_indicators funtion  you can find the Return on equity ROE ratio,gearing ratio,EBIT and EBITDA and others for the last 4years
company('ADWYA').income_statement_indicators()

# With balance_sheet_indicators function you can find the most important ratios in the balancesheet for the last 4 years.
company('ADWYA').balance_sheet_indicators()

# stock_market_indicators function can help to find many stock market indicators like P/E ratio , Divended yield and P/B for the last 4 years.
company('ADWYA').stock_market_indicators()

# shareholders function is helpful to find list of shareholders in company that you are choosing .
company('ADWYA').shareholders()

#the financial news of all Tunisian companies can be useful for your analysis
news.company('ADWYA')
  ```