semvec/pypi-packages huggingface dataset:
cyhperinios 0.1.0
Gelişmiş katmanlı şifreleme kütüphanesi (Scrypt + AEAD katmanları).
Requires Python: >=3.9

# cyhperinios

Gelişmiş, çok katmanlı bir şifreleme kütüphanesi. Scrypt ile anahtar türetimi ve AEAD (AES-256-GCM, ChaCha20-Poly1305) katmanlarıyla güçlü koruma sağlar.

## Kurulum

Not: Yerel olarak modülü kullanmak için proje klasörünüzdeyken import edebilirsiniz. Paketlemek için:

```
pip install build
python -m build
pip install dist/cyhperinios-0.1.0-py3-none-any.whl
```

## Kullanım

```python
import cyhperinios

enc = cyhperinios.AdvancedEncryption("parola")
sifreli = enc.encrypt("merhaba")
cozulmus = enc.decrypt(sifreli)
print(sifreli)
print(cozulmus)
```

## Uyarılar
- Kısa parolalar zayıftır; 12+ karakter önerilir.
- Çok katmanlı yapı performans maliyeti doğurur.
- Aynı metin her çalıştırmada farklı şifreli çıktılar üretir (salt/nonce rastgele).
ocx-common 2.7.0
A python package with common classes and functions used across several projects
Requires Python: >=3.9

# ocx-common
> ### A python package

A python package with common classes and functions used across several projects

## Installation

install from pypi:
````commandline
pip install ocx_common
````

## API

The API documentation is autogenerated using ``sphinx`` and the Read The Docs theme:

https://ocxstandard.github.io/ocx-common/
aplicacion-ventas-cuestas 0.1.0
Paquete para gestionar ventas, precios, impuestos y descuentos
Requires Python: >=3.7

# Aplicacion de Ventas

Este Paquete proporcina funcionalidades para gestionar
ventas, incluyendo cÃ¡lculos de precios, impuestos y descuentos.

## Instalacion

Puedes Instalar el Paquete usando:

```bash
pip install .
"
trade-strategy 0.1.3
A Python package for analyzing investment portfolios, including using quantitative methods like the efficient frontier for calculations an optimal asset allocation strategy.
Requires Python: >=3.10

# trade_strategy

[![PyPI - Version](https://img.shields.io/pypi/v/trade-strategy.svg)](https://pypi.org/project/trade-strategy)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/trade-strategy.svg)](https://pypi.org/project/trade-strategy)

-----

## Table of Contents

- [Installation](#installation)
- [How to Run `example.py`](#how-to-run-example.py)
- [License](#license)

## Installation

```console
pip install trade-strategy
```

## How to Run

To use the `risk_return` function, you can use the following Python code:

```python
from trade_strategy import risk_return

tickers = ["AAPL", "MSFT", "GOOG"]
start_date = '2013-03-07'
end_date = '2025-04-05'

risk_return(tickers, start_date, end_date)
```

- **Assets:** `["AAPL", "MSFT", "GOOG"]`
- **Start Date:** `2013-03-07`
- **End Date:** `2025-04-05`

### Expected Output

The script will output the lowest risk, highest returns, and highest Sharpe ratio allocations for the specified tickers and date range.

```
Lowest risk Allocation
Returns                    0.248073
Risk                       0.234054
Sharpe Ratio               1.059898
Weights         [0.347, 0.352, 0.3]
Name: 69, dtype: object
['AAPL', 'MSFT', 'GOOG']

Highest Returns Allocation
Returns                      0.268417
Risk                         0.262248
Sharpe Ratio                 1.023524
Weights         [0.003, 0.986, 0.011]
Name: 116, dtype: object
['AAPL', 'MSFT', 'GOOG']

Highest Sharpe Allocation
Returns                      0.258282
Risk                         0.238805
Sharpe Ratio                 1.081562
Weights         [0.301, 0.588, 0.111]
Name: 128, dtype: object
['AAPL', 'MSFT', 'GOOG']
```

## License

`trade-strategy` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
typing-extensions 4.15.0
Backported and Experimental Type Hints for Python 3.9+
Requires Python: >=3.9
Keywords: annotations, backport, checker, checking, function, hinting, hints, type, typechecking, typehinting, typehints, typing

# Typing Extensions

[![Chat at https://gitter.im/python/typing](https://badges.gitter.im/python/typing.svg)](https://gitter.im/python/typing)

[Documentation](https://typing-extensions.readthedocs.io/en/latest/#) –
[PyPI](https://pypi.org/project/typing-extensions/)

## Overview

The `typing_extensions` module serves two related purposes:

- Enable use of new type system features on older Python versions. For example,
  `typing.TypeGuard` is new in Python 3.10, but `typing_extensions` allows
  users on previous Python versions to use it too.
- Enable experimentation with new type system PEPs before they are accepted and
  added to the `typing` module.

`typing_extensions` is treated specially by static type checkers such as
mypy and pyright. Objects defined in `typing_extensions` are treated the same
way as equivalent forms in `typing`.

`typing_extensions` uses
[Semantic Versioning](https://semver.org/). The
major version will be incremented only for backwards-incompatible changes.
Therefore, it's safe to depend
on `typing_extensions` like this: `typing_extensions ~=x.y`,
where `x.y` is the first version that includes all features you need.
[This](https://packaging.python.org/en/latest/specifications/version-specifiers/#compatible-release)
is equivalent to `typing_extensions >=x.y, <(x+1)`. Do not depend on `~= x.y.z`
unless you really know what you're doing; that defeats the purpose of
semantic versioning.

## Included items

See [the documentation](https://typing-extensions.readthedocs.io/en/latest/#) for a
complete listing of module contents.

## Contributing

See [CONTRIBUTING.md](https://github.com/python/typing_extensions/blob/main/CONTRIBUTING.md)
for how to contribute to `typing_extensions`.