semvec/pypi-packages huggingface dataset:
pyfus-lib 1.0.3
Open source framework for functional ultrasound imaging data analysis
License: MIT

# PyfUS
PyfUS is a free and open-source software for the analysis of functional ultrasound imaging data. Is is part of the OpenfUS initiative launched by the Urban lab at Neuro-Electronics Research Flanders.

### Installation
```
pip install pyfus_lib
```

### Get started
We invite the user to read the protocol available here: <link to the protocol>
pyrunjs 0.1.7
Easily run javascript expressions using python.
License: MIT
Requires Python: >=3.8

# pyrunjs

使用python简单地调用js，获取js表达式返回值

note: 系统需要安装node.js，`node`命令可用，尝试用`node -v`查询node版本:
```bash
$ node -v 
v18.20.5
```

# 安装

pdm

```bash
pdm add pyrunjs
```

pip

```bash
pip install pyrunjs
```

# 使用示例

```python
import pyrunjs

js_script = """function HelloWorld() { return 'Hello World!'; } """
result = pyrunjs.run_js(js_script, "HelloWorld()")
print(result)  # output: Hello World!
```

```python
import pyrunjs

result = pyrunjs.run_js('', "1 + 2")
print(result)  # output: 3
```

```python
import pyrunjs

js_script = """
    function add(a, b) {
        return new Promise((resolve, reject) => {
            let sum = a + b;
            resolve(sum);
        }).then(sum => {
            return sum * sum;
        });
    }
"""
result = pyrunjs.run_js(js_script, "add(1, 2)")
print(result) # output: 9
```

# 版本更新概要信息

* 0.1.2 `run_js`函数可用
* 0.1.3  
  * 新增`call_js`函数，可自动编写调用function的表达式。
  * 解决不同系统默认编码不同导致的乱码问题。(例：windows系统默认编码为GBK时，现在可能正常返回结果了)
* 0.1.4 添加对异步函数Promise的支持。run_js表达式返回异步函数时，可以获取resolve中的结果了。
* 0.1.5 添加nox测试多版本的python, python支持的版本可降低到 python3.8
* 0.1.6 修复一些错误
* 0.1.7 修复一些错误
quantfinlib 0.0.6
Fundamental package for quantitative finance with Python.
License: MIT
Requires Python: <4.0,>=3.9
Keywords: quantitative finance, asset management, financial engineering

# QuantFinLib

<h1 align='center'>
<img src="./_static/quantfinlib_logo.png"  alt="QuantFinLib Logo" width="60"/>
</h1><br>

<h3 style='background-color:red; color:white; padding:20px'>This library is pre-alpha, please only use it for development testing</h2>

```
$ pip install quantfinlib
```


[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg?style=flat)](https://github.com/quantfinlib/quantfinlib/blob/main/LICENSE)
[![Python Version](https://img.shields.io/pypi/pyversions/quantfinlib.svg)](https://pypi.org/project/quantfinlib/)
[![PyPI Version](https://img.shields.io/pypi/v/quantfinlib.svg)](https://pypi.org/project/quantfinlib/)
[![Build Status](https://github.com/quantfinlib/quantfinlib/actions/workflows/deploy.yml/badge.svg)](https://github.com/quantfinlib/quantfinlib/actions/workflows/deploy.yml)
[![Coverage Status](https://coveralls.io/repos/github/quantfinlib/quantfinlib/badge.svg?branch=main)](https://coveralls.io/github/quantfinlib/quantfinlib?branch=main)
[![Docs](https://readthedocs.org/projects/quantfinlib/badge/?version=latest)](https://quantfinlib.readthedocs.io/en/latest/)


QuantFinLib is a comprehensive Python library designed for quantitative finance. It offers a wide range
of tools with applications in quantitative finance, including machine learning,
asset management, portfolio optimization, time series transformations, indicators, labeling, feature engineering,
stochastic simulation, randomization tests, and backtesting. 

Quantfinlib provide robust and well-designed
solutions for financial data analysis, modeling, and trading strategy development.

Quantfinlib is and always will be open source. Everyone is encouraged to add new features and contribute. Quantfinlib is free to use under the MIT license.
django-locality-two 3.1
Django Locality Two - Countries and Territories
License: MIT

# django-locality-two

`django-locality-two` is a drop-in replacement for django-locality with modern python (3.5+) and django (1.11+) support,
and more tests.
Locality is a light collection of helpers for handling countries and
territories in Django.

Currently, it includes:

  * `locality.json`, a fixture with the world's countries and territories (if
    you notice any missing, [open an
    issue](https://github.com/dekomote/django-locality-two/issues) or [submit a pull
    request](https://github.com/dekomote/django-locality-two/compare/))
  * views returning serialized lists of countries and territories
  * simple form field and widget

## Installation

Install from the cheese shop

    pip install django-locality-two

OR

Install from GitHub with pip:

    pip install -e git+https://github.com/dekomote/django-locality-two.git#egg=django-locality-two==2.1.1

Then add `locality` to `INSTALLED_APPS` in your Django settings. To load the
included data, run:

    python manage.py loaddata locality

(or whichever equivalent method you use to run "manage.py" commands)

## Usage

List all countries:

    >>> from locality.models import Country
    >>> print Country.objects.all()
    [<Country: Andorra>, <Country: United Arab Emirates>,
    <Country: Antigua and Barbuda>, ...]

or list territories by country:

    >>> from locality.models import Country
    >>> for country in locality.models.Country.objects.all():
    >>>     print country.territories.all()
    ...
    [<Territory: Salta, Argentina>, <Territory: Buenos Aires, Argentina>,
    <Territory: Ciudad Autónoma de Buen os Aires, Argentina>, ...]

You can create your own models around countries and territories:

    class Address(models.Model):
        country = models.ForeignKey('locality.models.Country')
        territory = models.ForeignKey('locality.models.Territory')

## Bugs / TODO

Please report all bugs to the [GitHub issue
tracker](https://github.com/dekomote/django-locality-two/issues)