semvec/pypi-packages huggingface dataset:
cvraft 0.1.4
Build your CV written in Markdown
License: MIT
Requires Python: >=3.10,<4.0

# Cvraft

Instead of writing your CV or resumé in Microsoft Word, Google Docs, or some proprietary tools, you can just write it in Markdown. As a Markdown file is just plain text, you can easily track version with Git or your VCS of choice. Copy and paste with ease.

**cvraft** transforms your Markdown file to a ready-to-use HTML file. You can also [customize it with ease](#customization).

## Install

```bash
pip install cvraft
```

## Usage

Output HTML file to a **build** directory in current directory. It also copies **static** directory (if it exists in the same directory as the source Markdown file) to **build**.

```bash
cvraft build <path/to/file.md>
```

View the HTML file in a local web server at http://localhost:9000

```bash
cvraft serve
```

## Customization

The different with standard Markdown tool is that the output HTML is tweaked to wrap different parts of your CV in proper **section** tags. This will ease your cutomization with CSS.

The generated HTML structure could look like this

![HTML structure](./docs/images/html-structure.png)

With this structure, you can write your custom CSS in the **static/styles/main.css**. This path is the default CSS path in the generated HTML file.
sentry-dingTalk-notify-to-people-MrChen 1.0.0
推送Sentry报错信息到钉钉群，并且@具体的人员
License: MIT
Requires Python: >=3.6.13
Keywords: sentry dingtalk


# Sentry DingTalk

Sentry 集成钉钉机器人通知 <br>
1、@具体的人员

## Requirments 
- sentry >= 21.5.1

## 特性
- 发送异常通知到钉钉
- 支持钉钉机器人webhook设置关键字
- 配置环境变量
  - DINGTALK_WEBHOOK: Optional(string)
  - DINGTALK_CUSTOM_KEYWORD: Optional(string)
## 快速使用
### 安装
1. 使用 `pip` 命令
    ```bash
    $ pip install sentry-dingtalk-notify
    ```

2. 写入依赖文件 `onpremise-xxx/sentry/requirements.txt`
    ```bash
    $ echo sentry-dingtalk-notify >> requirements.txt
    ```

### 钉钉机器人
[配置](https://developers.dingtalk.com/document/app/custom-robot-access)钉钉机器人并拿到对应的 webhook, 可以对机器人设置 关键词、签名、IP限制

### 配置
在 Sentry 面板 Settings > Integrations 中找到 DingTalk 并配置 webhook、关键词等信息，添加项目，创建告警规则

### 测试
1. Enable Plugin
2. Test Plugin
Topsis-Prateek-101916078 1.0.4
Topsis in python that take input csv file and outputs csv file
License: MIT

TOPSIS.
Submitted By: Prateek Rai.

</br>

Type: Package.

Title: TOPSIS method for multiple-criteria decision making (MCDM).

Version: 1.0.4.


Author: Prateek Rai.

Maintainer: Prateek Rai prateek11rai@gmail.com.

</br>

Description: Evaluation of alternatives based on multiple criteria using TOPSIS method.

What is TOPSIS?
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.


How to install this package : 
pip install Topsis-Prateek-101916078

In Command Prompt : 
topsis data.csv "1,1,1,1,1" "+,+,-,+,+" result.csv



Input file (data.csv)
The decision matrix should be constructed with each row representing a Model alternative, and each column representing a criterion like Accuracy, R2, Root Mean Squared Error, Correlation, and many more. The file should be put in the command line as the location of the file.


Weights (weights) is not already normalised will be normalised later in the code.

Information of benefit positive(+) or negative(-) impact criteria should be provided in impacts.


Output file (result.csv)
				

The output file contains columns of input file along with two additional columns having *Topsis_score* and *Rank*