semvec/pypi-packages huggingface dataset:
python-splitter 0.0.3
A package  that Splits Class_Folders to Train, Test, Val folders automatically by shuffling media for machine learning.
Keywords: folder,splitter

# python_splitter

Currently experimenting and planning! More Features will be added soon...

Developed by Bharat Adhikari (c) 2022

## Examples of How To Use (Buggy Alpha Version)

Creating Train-Test folders

```python

import python_splitter

$ python_splitter.split_from_folder("SOURCE_FOLDER", train = 0.5, test = 0.3, val = 0.2)
$ python_splitter.split_from_folder("SOURCE_FOLDER", train = 0.5, test = 0.3)

# Note: Both above code gives same result because 0.5+0.3=0.8 . 
	   So, val = 0.2 is calculated automatically.


$ python_splitter.split_from_folder("SOURCE_FOLDER, train = 0.5, test = 0.5)
But, this will not create "val" folder because train+test=0.5+0.5 =1.0

# SOURCE_FOLDER = PATH_TO_THE_FOLDER_CONTAINING_IMAGE_CLASSES_FOLDERS

```
gagare 0.0.18
A simple calc for new biess
Keywords: calculator

An OSINT tool lab for IT ninjas

# How to
To use this tool you have to make sure you have `docker` install as well as `docker-compose`, also make sure you have nothing running on port `8000` and `80` because these ports are going to be use for the services

After that then you are to pull the image from docker with
`docker pull usmanmusa/dipense`

Next you are to clone the github repo of the project
`git clone https://github.com/usmanmusa1920/dipense.git`
in other to get the
`docker-compose.yml`

After that cd into the project folder you just clone to spin up the services using
`docker-compose up`, you can use `docker-compose up --build` in other to see how it build the image

Once that finish, you will notice in your terminal that it says you can reach it at
`http://0.0.0.0:8000`,
that one is a gunicorn server which doesn't serve static files,
we recommend visiting it at port
`80`
which is an
`Nginx`
server that can serve static files, and it is a proxy to that gunicorn container

# How to use the library
```python
>>> from dpdman import payloads
>>> from dpdman.structure import helper



>>> if __name__ == '__main__':
>>>  payloads(helper)
```

## Officially site at:

- https://dipense.usmanmusa.tk

## Docker hub repo at:

- https://hub.docker.com/r/usmanmusa/dipense

## Build Status
- version 0.1

## DiPense at a glance

![DiPense at a glance](https://raw.githubusercontent.com/usmanmusa1920/dipense/master/screen-shot.png)


Change Log
==========

0.0.1 (29/08/2022)
------------------
- First Release