semvec/pypi-packages huggingface dataset:
blueapps-open 4.0.3rc0
development framework for blueking

# 蓝鲸Python开发框架Blueapps

![blueapps](docs/resource/img/blueapps.png)

[![license](https://img.shields.io/badge/license-mit-brightgreen.svg?style=flat)](https://github.com/TencentBlueKing/blueapps/blob/master/LICENSE) [![Release Version](https://img.shields.io/badge/release-3.3.3-brightgreen.svg)](https://github.com/TencentBlueKing/blueapps/releases) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/TencentBlueKing/blueapps/pulls) 

> **重要提示**: `master` 分支是开发分支，可能处于 *不稳定或者不可用状态* 。请通过[releases](https://github.com/TencentBlueKing/blueapps/releases) 而非 `master` 去获取稳定的软件包

蓝鲸Python开发框架Blueapps可以帮助开发人员快速在蓝鲸 PaaS 平台上开发 SaaS 的 `Python 框架` 。该开发框架基于 `Django 框架` 架构，并在此基础上进行扩展，增加蓝鲸系统的特有功能，例如：`身份验证`、`ESB 调用` 及 `模板渲染` 等功能，以便开发者可以更专注于 SaaS 的 `逻辑开发` 。

 本次开源的是蓝鲸Python开发框架Blueapps打包编译环境，执行打包构建后开发人员可以直接基于源码提供的功能进行开发。

## Overview

- [快速开始](docs/overview/project_usage.md)
- [代码目录](docs/overview/project_codes.md)
- [使用说明](https://bk.tencent.com/docs/document/6.0/130/5949)

## Roadmap

- [版本日志](docs/release.md)

## Support

- [蓝鲸论坛](https://bk.tencent.com/s-mart/community)

- 联系我们，技术交流QQ群：

  社区版QQ交流群：495299374
  
  蓝鲸运维开发交流群：878501914
  
  <img src="docs/resource/img/QR-Code.png" align=center style="zoom:67%;" />
  
  

## Contributing
对于项目感兴趣，想一起贡献并完善项目请参阅[Contributing Guide](docs/CONTRIBUTING.md)。

[腾讯开源激励计划](https://opensource.tencent.com/contribution) 鼓励开发者的参与和贡献，期待你的加入。

## FAQ

请查看 [FAQ](docs/faq.md)

## License

基于 MIT 协议， 详细请参考[LICENSE](LICENSE.txt)
biblio-laws 0.0.1a1
A toolkit for examining laws of bibliometrics
Requires Python: >=3.6, <4
Keywords: bibliometrics,bibliometric laws,Bradford's Law,Zipf's Law,Lotka's Law,bibliometric analysis

# Bibliometric Laws Toolkit

A toolkit to examine Laws of Bibliometrics based on bibliometric data 

## Installation
```pip
pip install biblio-laws
```

## Functions
1. Examine the laws of bibliometrics, namely, Bradford's Law, Lotka's Law, and Zipf's Law. 
2. Provide an easy tool to estimate parameters from the proposed formula of the laws.

## Examples
### Examine sample data distributions
```python
from bibliolaws.datasets import *
from bibliolaws.zipf_law import ZipfLaw
from bibliolaws.bradford_law import BradfordLaw
from bibliolaws.lotka_law import LotkaLaw

# (1) Bradford's Law for relationship between journal and publication numbers
bf=BradfordLaw(load_bradford_sample_data())
bf.zone_analysis()
x,y=bf.figure_analysis()

# (2) Lotka's Law for relationship between author and publications numbers
lotka=LotkaLaw(load_lotka_sample_data())
lotka.print_table()
lotka.plot()

# (3) Zipf's Law for relationship between term rank and term freq.
zipf=ZipfLaw(load_zipf_sample_data())
zipf.print_table()
zipf.plot()

```

## Screenshot of results

1. Bradford's Law

![Bradford's Law](https://github.com/dhchenx/dhchenx.github.io/blob/master/projects/biblio-laws/images/bradford_law.png?raw=true)

2. Lotka's Law

![Lotka's Law](https://github.com/dhchenx/dhchenx.github.io/blob/master/projects/biblio-laws/images/lotka_law.png?raw=true)

3. Zipf's Law

![Zipf's Law](https://github.com/dhchenx/dhchenx.github.io/blob/master/projects/biblio-laws/images/zipf_law.png?raw=true)

## License
The `biblio-laws` project is provided by [Donghua Chen](https://github.com/dhchenx).