semvec/pypi-packages huggingface dataset:
Contacts 2.0b8
Store your contacts.
Requires Python: >=3.8
Keywords: contacts

# Contacts

Store your contacts.

### How to install the app

**From the [Python Package Index](https://pypi.org/project/Contacts/)**

    pip install Contacts

**From the source code**

`pip install .` or `./setup.py install`

### How to use the app

**The graphical user interface**

    contacts_gui

**The command line interface**

    contacts [option] {command}

### License

Copyright (C) 2020  Delvian Valentine <delvian.valentine@gmail.com>

This program comes with ABSOLUTELY NO WARRANTY.
This is free software, and you are welcome to redistribute it under
certain conditions.  See the GNU General Public License for more
details <https://www.gnu.org/licenses/>
doubao-config-sdk 1.0.1
Doubao Configuration Center Python SDK
Requires Python: >=3.5

# DOUBAO-CONFIG-SDK

豆包配置中心SDK

## 安装

```
pip3 install doubao-config-sdk
```

或者

```
python3 setup.py install
```

## 示例

```python
from doubao_config import Client

# 调用类方法直接设置配置到环境变量（环境变量非全局，仅对调用的应用程序有效）
Client.set_env(<config_host>, <config_username>, <config_password>, <application>, <profile>)

# 实例化配置中心客户端
client = Client(<config_host>, <config_username>, <config_password>)
# 获取配置
client.get_config(<application>, <profile>)
```
HuoYan-monitoring 0.1
HuoYan laboratory COVID-19 samples testing lifetime monitoring

# HuoYan
HuoYan is a python package containing COVID-19 samples testing lifetime tracking system and associating utilities. It is built on sqlite3 and dash to provide a user-friendly web interface.

## Installation 
HuoYan can be installed from pypi using:
```
$ pip install HuoYan_monitoring
```

or just from source code:
```
$ git clone git@github.com:JaylanLiu/huoyan.git
```

## Configuration

## Usage

## APIs
science2-amcgail 0.0.7
Analyzing the evolution of ideas using citation analysis
Requires Python: >=3.6

This repository contains 
  the code and data I used to analyze the deaths of a million citations in Sociology articles.
The repository provides code and documentation for producing all analyses and figures in the final paper.

# Installation

1. Install Python 3.7
2. Run `pip install science2-amcgail`

# Quick start

The following command starts jupyterlab in the base directory of this repository. This is a good place to start.

`python -m science2 start`