semvec/pypi-packages huggingface dataset:
DigitRecognizer 1.0.0
Hand Writing Digits Recognition program is an open-source python machine learning algorithm program which program recognizes and predicts handwriting digits.
License: MIT
Keywords: Python

# Hand Writing Digits Recognition

Hand Writing Digits Recognition program is an open-source python machine learning algorithm program.
That program recognizes and predicts handwriting digits.

This project prepared to recognize and predict the handwriting digits both using Deep Learning and Machine Learning algortihms together.

In order, you have to install additional packages to work with this repository :

```bash
pip install tensorflow
```

```bash
pip install opencv-python
```

```bash
pip install matplotlib
```

```bash
pip install matplotlib
```

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install pydigit.

```bash
pip install DigitRecognizer
```

## Index and Usage

This python project includes three of python files:
***
DigitRecognizer.success():
Includes main.py that shows the algorithm stats.
That stats are : How successfull and How many loss points algorithm have ?
***
DigitRecognizer.random(): 
Includes python file that is a handwriting digit predicter. 
That predicter picks random handwiritng digits from MINST algorithm and predicts both.
***
DigitRecognizer.recognize():
Includes python file that is a handwriting digit predicter. 
First of all you have to add a 28x28 image to your dir which python file you are working in that.
After that, give the image name as a parameter to the recognize() function. 
Finally let the program predicts your own handwriting digits.
***

## License

MIT Licence Included.

## Maintainer
Emir YarkÄ±n Yaman
[GitHub](https://github.com/Weinoose)
[PyPi](https://pypi.org/user/Weinoose/)

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

1.0.0 (28/03/2021)
------------------
- First Release
passgenpy 0.1.15
A password generator written in Python 3.x
License: MIT
Keywords: random,password,generator

## How could I use this library?
#### The best way to use it, in my opinion is to install it with pip
#### Just type ```pip3 install passgenpy``` on your Linux or WSL terminal (on Windows just remove the 3 from pip)
#### Or alternatively you could clone this and use ```passgenpy/generate_password.py``` in place of the module.
#### If you had used pip to download the library do ```from passgenpy.generate_password import gen_pass``` to just import the function to generate the password, and to import the whole library ```import passgenpy```.

## Will you add new features to this library?
#### When I have free time I will work on this library and add even more features!

## Can I contribute to this project
#### Of course, anyone can!

## What should I do if I find any bugs or issues with your code
#### To report an issue or bug go to the issues tab and create a new issue. It's that simple!
PythonSoccer 1.0.1
PythonSoccer is a Console App which is written by using Python script. This program allow to you simulate a soccer game between two teams.
License: MIT
Keywords: Python

## PythonSoccer

PythonSoccer is a Console App that is written by using Python script. 

This program allows to you simulate a soccer game between two teams.

NOTE: 30 new teams will be added according to future developments. In addition, the summer transfer update will be completed towards the end of August, and the team updates will be completed towards the end of May.

[ Latest Roster Update: 26.03.2021 ]

# Installation

You can install this console app easily.

1 - Open a terminal and type this : 

```bash
pip install PythonSoccer
```

# Features

You can simulate any game using PythonSoccer easily.

After the game, PythonSoccer tracks these stats:
* Full Game Stats.
* Goal, Assist Count.
* Player Stats.
* Scoreboard.

# How to Use

Firstly you have to include this library in your environment.

```bash
from PythonSoccer import simulate
```

After that, you can simulate any soccer game following this command : 

```bash
simulate(team1, team2)
```

# Available Teams

* Borussia Dortmund
* FC Bayern

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

1.0.1 (26/03/2021)
------------------
- Minor bugs has fixed.