semvec/pypi-packages huggingface dataset:
distprob 0.1
Gaussian and Binomial distributions

# distprob

distprob is a Python library for dealing with distribution calculation and visualization.

Gaussian distribution class - calculating and visualizing a Gaussian distribution.
Binomial distribution class - calculating and visualizing a Binomial distribution.
Generic distribution class - calculating and visualizing a probability distribution.

## Installation

Use the package manager pip to install distprob.

```bash
pip install distprob
```

## Usage

```python
from distprob import Gaussian
gaussian_one = Gaussian(25, 2)
gaussian_one.mean
gaussian_one + gaussian_one
from distprob import Binomial
binomial_one = Binomial(, 2)
binomial_one.mean
binomial_one + binomial_one
```

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License
[MIT](https://choosealicense.com/licenses/mit/)
jsiter 1.0.4
JavaScript flavor iterable
Requires Python: >=3.5

# jsiter
JavaScript flavor iterable for python.

### install
```
pip install jsiter
# or
pip3 install jsiter
# depends on your OS
```

#### Before
```python
from functools import reduce

a = [1,3,5,7,9,100]

reduce(lambda a,b:a+b,map(lambda x:chr(x),sorted(filter(lambda x:x<=90,map(lambda x:x+65,a)),key=lambda x:-x)))
# 'JHFDB'
```

#### After

```python
from jsiter import jsiter

a = jsiter([1,3,5,7,9,100])

a.map(lambda x:x+65).filter(lambda x:x<=90).sorted(key=lambda x:-x).map(lambda x:chr(x)).reduce(lambda a,b:a+b)
# 'JHFDB'