semvec/pypi-packages huggingface dataset:
mymath-custome 0.1.0
A simple math operations package
Requires Python: >=3.6

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# mymath_custome

`mymath_custome` is a simple Python package for performing basic mathematical operations. This package includes functions for operations such as addition, subtraction, multiplication, and division.

## Installation

You can install `mymath_custome` using `pip`:

```bash
pip install mymath_custome
=======
# MyPythonModule
>>>>>>> 851edab5aca29da5a7233f1a818ab1bf3dd18b65
nonpseudorandom 0.3.0
A true random number generator using system sensor noise
Requires Python: >=3.6

# NonPseudoRandom

[![PyPI version](https://img.shields.io/pypi/v/nonpseudorandom.svg?logo=pypi&logoColor=FFE873)](https://pypi.org/project/nonpseudorandom/)
[![Supported Python versions](https://img.shields.io/pypi/pyversions/nonpseudorandom.svg?logo=python&logoColor=FFE873)](https://pypi.org/project/nonpseudorandom/)
[![PyPI downloads](https://img.shields.io/pypi/dm/nonpseudorandom.svg)](https://pypistats.org/packages/nonpseudorandom)

NonPseudoRandom is a Python package that generates true random numbers using sensor noise from your local system. It serves as a drop-in replacement for Python's native `random` module.

## Supported Sensors

NonPseudoRandom utilizes various types of system sensors to generate randomness. The supported sensor types are as follows:

| Sensor Type        | Description                                                           |
|--------------------|-----------------------------------------------------------------------|
| CPU Temperature    | Measures the temperature of the CPU using `psutil`.                   |
| Microphone Noise   | Captures ambient noise from the microphone using `sounddevice`.       |
| Webcam Noise       | Captures visual noise from the webcam using `opencv-python`.          |

## Installation

You can install NonPseudoRandom via pip:

```sh
pip install nonpseudorandom
```

## Usage

NonPseudoRandom can be used as a drop-in replacement for Python's built-in `random` module. <br>
It inherites all methods of the native random class and therefore supports all of the expected functionalities.

### Examples from native random methods:

```python
import nonpseudorandom as random

print(random.random())  # Generate a random float in [0.0, 1.0)
print(random.randint(1, 10))  # Generate a random integer between 1 and 10
print(random.choice(['a', 'b', 'c']))  # Randomly select an element from a list
print(random.uniform(1.0, 10.0))  # Generate a random float between 1.0 and 10.0

my_list = [1, 2, 3, 4, 5]
random.shuffle(my_list)
print(my_list)  # The list will be shuffled

population = [1, 2, 3, 4, 5]
sample = random.sample(population, 3)
print(sample)  # Randomly sample 3 unique elements from the population
```


## License

This project is licensed under the MIT License.