semvec/pypi-packages huggingface dataset:
league-shop-base 1.0.80
Base models and admin for league-shop
Requires Python: >=3

# league-shop-base

Base models and admin for league-shop

## Installation

You can install the package via pip:

```
pip install league-shop-base
```

Add `lsb` to your INSTALLED_APPS.

```
    INSTALLED_APPS = [
        ...
        'lsb',
    ]
```

## To specify top sold skin values parser, add the following settings:

```
LSB_SETTINGS = {
    'top_sold_skin_values': {
        'func': <dotted_module_string_path>,
        'args': <args>,
        'kwargs': <kwargs>
    }
}
For example:

LSB_SETTINGS = {
    'top_sold_skin_values': {
        'func': 'lsb.utils.skins.get_top_sold_skin_values',
        'args': [0, 150],
        'kwargs': {}
    }
}

```
MParkerO 0.0.1
A Python-Based Implementation of the Extended Parker-Oldenburg Algorithm                  for Inverting Multilayer Density Interfacesfrom Gravity Anomalies
Requires Python: >=3.6

# MParkerO
`MParkerO` is a Python-Based Implementation of the Extended Parker-Oldenburg Algorithm for Inverting Multilayer 
           Density Interfacesfrom Gravity Anomalies

A Multilayer Density Interface Inversion toolkit (MParkerO) is introduced to compute the
3-D geometries of multilayer density interfaces from gridded gravity anomalies. We extend
Parker-Oldenburg’s iterative method to handle multilayer density interface scenarios and
implement it within this M-ParkerO toolkit. The method utilizes the relationship between
gravity anomalies and multilayer density interfaces in the frequency domain. Given gravity
anomalies, density contrasts,reference depth and the non-target density interfaces, the target
density interface can be calculated.
Stockify 0.1.2
A Python library for financial data analysis and portfolio management
Requires Python: >=3.7

# Stockify

Stockify is a Python toolkit for financial data analysis and portfolio management. It allows users to easily fetch stock market data, analyze performance, and build custom stock portfolios. Whether you're an investor, data scientist, or student, Stockify aims to make stock analysis more accessible and efficient.

---

## Features

- **Fetch Stock Data**: Retrieve stock data from Yahoo Finance (via `yfinance`) and Alpha Vantage.
- **Portfolio Management**: Simulate and manage stock portfolios with custom weightings and investment strategies.
- **Risk Analysis**: Calculate key financial metrics such as volatility, returns, and correlations between stocks in a portfolio.
- **Easy Integration**: Use Stockify as part of your financial analysis pipeline or as a stand-alone tool.

---

## Installation

You can install Stockify using **pip**:

```bash
pip install stockify