semvec/pypi-packages huggingface dataset:
formatSlackMessage 1.0.4
A project to format the slack messages in a structured way
Keywords: formatmessage,slackoutput,slack,format

Presenting data in a clear and organized manner can be a challenge on the Slack platform, as formatting options are limited. 

If you have data stored in JSON, dictionaries, lists, or dataframes that you want to share with your team in a tabular format, it can be frustrating to have code for specific use cases and present the data.

That's where our new library comes in! With our library, you can easily transform your data into a visually appealing table that is easy to read and understand. 

Simply input your data and let the library handle the rest – no need to worry about compatibility issues or spend time in writing code to format the output. 

Our library makes it easy to present your data in a professional and organized way, improving your team's productivity and collaboration on Slack.


USAGE

pip install formatSlackMessage 

example:

#import the installed library

from formatslackmessage import formatslackoutput

import pandas as pd

data=[{"ID":1,"Name":"Alice","Age":25,"Address":{"Street":"123MainStreet","City":"NewYork","State":"NY"}},{"ID":2,"Name":"Bob","Age":30,"Address":{"Street":"456SecondStreet","City":"Chicago","State":"IL"}}]

#convert the list of json to a df

df= pd.json_normalize(data)

#call the function to format your data to a tabular format

formatslackoutput.formatSlackMessage(df)

Output

+----+-------+-----+-----------------+--------------+---------------+
|ID  |Name   |Age  |Address.Street   |Address.City  |Address.State  |
+----+-------+-----+-----------------+--------------+---------------+
|1   |Alice  |25   |123MainStreet    |NewYork       |NY             |
|2   |Bob    |30   |456SecondStreet  |Chicago       |IL             |
+----+-------+-----+-----------------+--------------+---------------+
yinzi-rili-2023 2022.12.29.0
因子日历2023
Requires Python: >=3.6

# 因子日历2023

## 下载

### Docker

```
docker pull apachecn0/yinzi-rili-2023
docker run -tid -p <port>:80 apachecn0/yinzi-rili-2023
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install yinzi-rili-2023
yinzi-rili-2023 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g yinzi-rili-erlingersan
yinzi-rili-erlingersan <port>
# 访问 http://localhost:{port} 查看文档
```
TaskManagerHandler 0.0.2
This package will take care of interacting with speech interactions.

# shyna/TaskManagerHandler.py



## Getting Started

Download links:

SSH clone URL: ssh://git@git.jetbrains.space/shyna623/shyna/TaskManagerHandler.py.git

HTTPS clone URL: https://git.jetbrains.space/shyna623/shyna/TaskManagerHandler.py.git



These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

## Prerequisites

What things you need to install the software and how to install them.

```
Examples
```

## Deployment

Add additional notes about how to deploy this on a production system.

## Resources

Add links to external resources for this project, such as CI server, bug tracker, etc.