semvec/pypi-packages huggingface dataset:
wifi-password 1.1.1
Quickly fetch your WiFi password and if needed, generate a QR code of your WiFi to allow phones to easily connect

<h1 align="center">
wifi-password
</h1>
<p align="center">
Quickly fetch your WiFi password and if needed, generate a QR code of your WiFi to allow phones to easily connect.
<br>
Works on <b>macOS</b> and <b>Linux</b>, <b>Windows</b>
<img src="images/demo.gif" align="center">
</p>

## Installation

### Install using `pip`
```console
$ python3 -m pip install --user wifi-password
```

### Install using `git`
```
$ git clone https://github.com/sdushantha/wifi-password
$ cd wifi-password
$ python3 setup.py install
```

### Install using the [AUR](https://aur.archlinux.org/packages/wifi-password/)
```console
$ sudo pamac build wifi-password
```

## Usage
```console
$ wifi-password --help
usage: wifi_password [options]

optional arguments:
  -h, --help            show this help message and exit
  --show-qr, -show      Show a ASCII QR code onto the terminal/console
  --save-qr [PATH], -save [PATH]
                        Create the QR code and save it as an image
  --ssid SSID, -s SSID  Specify a SSID that you have previously connected to
  --version             Show version number
```

## Reference
- This project is an improvement of [wifi-password](https://github.com/rauchg/wifi-password) created by [@rauchg](https://github.com/rauchg), where I have added support for multiple platforms and have added the feature for generating QR codes.
- [wifiPassword](https://github.com/ankitjain28may/wifiPassword) created by [@ankitjain28may](https://github.com/ankitjain28may) was frequently used as reference throughout the development of this project.
handwritten-image 0.1.1
Convert plain text into the handwritten text
Keywords: handwrite,handwritten

# Handwritten

For those who are too lazy to write lectures by hand, oops, it's me. My own handwritten font is used here. Distance learning has dramatically increased the number of lectures that had to be written by hand. So I wrote this small program.

## Example

Here is an example in English (left/top) and in Russian (right/bottom). English isn't my native language, so I write like a robot :)

<img src="https://github.com/xcapt0/handwritten/blob/master/docs/assets/example-en.jpg?raw=true" alt="drawing" width="400"/><img src="https://github.com/xcapt0/handwritten/blob/master/docs/assets/example-ru.jpg?raw=true" alt="drawing" width="400"/>

In Russian looks more real, at least the lecturer didn't notice.

## Getting started

### Install project

```
pip install handwritten-image
```

### Setup

```python
from handwritten_image import HandWrite
hand = HandWrite()
```

## Convert to a handwritten images

You can easily convert your text to handwritten text using this method

```python
hand.convert_to_image('your-text-file.docx') # or .doc and .txt file
```

### Save directory

Specify the folder where you want to save the images using `save_dir` argument, if not specified, they will be saved to the current folder

```python
hand.convert_to_image('your-text-file.docx', save_dir='images')
```

### Random selection

If you don't need random sampling from the text, you can specify `random_select=False` argument

```python
hand.convert_to_image('your-text-file.docx', random_select=False)
```

## Text file to edit

Before converting to images, you may want to change the text (add brackets, remove extra characters, etc.). If `edit=True` it creates a txt file that you can edit and then use to create images.

```python
hand.to_txt('your-text-file.docx', edit=True) # or .doc and .txt file
```

**Note**
> Before converting the file to an image, remove the **`hand.to_txt()`** call, otherwise it will overwrite the file you edited

After you edit the file, you can convert this file

```python
hand.convert_to_image('your-edited-file.txt', random_select=False)
```

### Random selection

You also can specify the `random_select=False` argument if you don't need a random selection

```python
hand.to_txt('your-text-file.docx', random_select=False)
```

### Save folder

Default folder to save in your script folder and default file name is `temp.txt`. Specify `save_path` argument **with** file type if you want to change the name

```python
hand.to_txt('your-text-file.docx', save_path='your-folder/file.txt')
```
cirRelArea 0.1
A Mathematical Tool to solve questions related to arithmetic progressions

## Created By Sparsh Agarwal
#### Copyright(c) <2021><Sparsh Agarwal>

### Created as a mathematical tool to solve the common qustions related to Circles and all its possibilities.

### This package Pertains to all possibilities given:
- area - It pertains to possibilities based on radius availability (To Use Just type in cirRelArea.area )
- circumference - It pertains to possibilities based on radius availability (To Use Just type in cirRelArea.circumference )
- radius - It pertains to possibilities based on area availability (To Use Just type in cirRelArea.radius ) 
- area of sector - To Use Just type in cirRelArea.area_sector
- circumference of sector - To Use Just type in cirRelArea.circumference_sector
-central angle - It pertains to possibilities based on area availability (To Use Just type in cirRelArea.theta_sector)

### More given on https://github.com/faint-artist/cirRelArea-package
arithpro 0.1
A Mathematical Tool to solve questions related to arithmetic progressions

## Created By Sparsh Agarwal
#### Copyright(c) <2021><Pyxis/Sparsh Agarwal>

### Created as a mathematical tool to solve the common qustions related to arithmetic progressionsand all its possibilities.

### This package Pertains to all possibilities given:
- Sum - It pertains to possibilities based on  first term availability (To Use Just type in arithpro.ap_sum() )
- first term (To Use Just type in arithpro.ap_firstTerm() ) 
- last term - It pertains to possibilities based on  first term availability(To Use Just type in arithpro.ap_lastTerm() )
- any term - It pertains to possibilities based on  first term availability(To Use Just type in arithpro.ap_anyTerm() )

### More given on https://github.com/faint-artist/arithpro-package
mg 0.0.2
Machine Learning Extensions
Requires Python: >=3.7,<4.0

MG is an extension package for Machine Learning. Currently wraps [vfi](https://vfi.readthedocs.io) and [dagging](https://dagging.readthedocs.io) packages.


## How to use MG

The mg package inherits from sklearn classes, and thus drops in neatly
next to other sklearn classifiers with an identical calling API. Similarly it
supports input in a variety of formats: an array (or pandas dataframe) of shape ``(num_samples x num_features)``.

```
import mg
from sklearn.datasets import load_iris

data, target = load_iris(return_X_y=True)

model = mg.VFI()
model.fit(data, target)
```


## Installing

PyPI install, presuming you have an up to date pip:


```
pip install mg
```

If pip is having difficulties pulling the dependencies then we'd suggest to first upgrade
pip to at least version 10 and try again:


```
pip install --upgrade pip
pip install mg
```

Otherwise install the dependencies manually using anaconda followed by pulling mg from pip:

```
conda install numpy scipy
conda install scikit-learn
pip install mg
```

## Running the Tests


The package tests can be run after installation using the command:

```
pytest mg --cov
```

## Python Version


The mg package supports only Python 3.
    

## Contributing


We welcome contributions in any form! Assistance with documentation, particularly expanding tutorials, is always welcome.

## Licensing

The mg package is MIT licensed. Enjoy.