semvec/pypi-packages huggingface dataset:
simple-alert 1.0.2
This is a library that give alerts on terminal
License: MIT
Keywords: simple-alert,ShamyakGoel,codewithshamyak,coding with shamyak,alert,alerts

# Shamyak Goel

simple-alert includes functions for giving alert on terminal

- Please install the package ansd share this package to your friend's
- Also subscribe my youtube channel Codewithshamyak

## Features

- Giving alert on the terminal
- Create custom alerts

## Installation

simple-alert requires python interpretor (python 3)

Install python on <a href="https://python.org/downloads" rel="noreferrer noopener" target="_blank">python.org</a> and download latest version of python then

Install the package as shown below

```
pip install simple-alert
```
If you get an error  - pip is not recognized as function etc.
then watch this video - <a href="https://www.youtube.com/watch?v=An2UBGAlzpU" rel="noreferrer noopener" target="_blank">Click Here</a>
# Functions
- alert : Used to give alert.
- custom_alert : Used to give custom alert
- config : Used to change default colors.
dsFrameworkC 0.0.8
Data science framework library
License: MIT
Requires Python: >=3.6

# ds-framework
data science framework

#how to install
pip install dsframework

#how to use
##list of commands:
* dsf-cli - to get all cli options


* dsf-cli generate project my-new-project - to generate new project named my-new-project

## inside generated project folder 
(cd my-new-folder)
* dsf-cli g forcer my-new-forcer - creating new forcer (will be automatically injected to pipeline after last exist forcer)


* dsf-cli g predictable my-new-predictable - creating new predictable (will be automatically injected to pipeline after last exist predictable)


* dsf-cli run-server - will run local server with port 8080\
  available endpoints depend on project\
  http://localhost:8080/parse, http://localhost:8080/predict \
  will validate input based on input scheme and execute pipeline\
  http://localhost:8080/test \
  will run mock test using Data science portal


* dsf-cli create-deploy-files - deploy files generated automatically when creating new project this is an option to create all non exist deploy files, 

  * if deploy file was deleted by mistake you can recreate it 

  * if dsframework version was update with updated deploy files you can delete deploy files and recreate them

* dsf-cli create-cloud-eval-files - cloud eval files this is an option to create all non exist cloud eval files