Metadata-Version: 2.4
Name: fastbootstrap
Version: 1.6.0
Summary: Fast Python implementation of statistical bootstrap
Author-email: Timofey Tkachenko <timofeytkachenko@example.com>
Project-URL: Homepage, https://github.com/timofeytkachenko/fastbootstrap
Keywords: bootstrap,statistics,statistical-inference,resampling,confidence-intervals,hypothesis-testing,ab-testing,data-science,machine-learning,monte-carlo,nonparametric,bca-bootstrap,percentile-bootstrap,spotify-bootstrap,statistical-simulation,power-analysis,statistical-testing,sampling-distribution,p-value,significance-testing,quantile-bootstrap
Requires-Python: >=3.12
Description-Content-Type: text/markdown
Requires-Dist: ipython>=9.4.0
Requires-Dist: joblib>=1.5.1
Requires-Dist: jupyter>=1.1.1
Requires-Dist: matplotlib>=3.10.3
Requires-Dist: numpy>=2.3.1
Requires-Dist: pandas>=2.3.1
Requires-Dist: plotly>=6.2.0
Requires-Dist: scipy>=1.16.0
Requires-Dist: seaborn>=0.13.2
Requires-Dist: tqdm>=4.67.1

# fastbootstrap
Fast Python implementation of statistical bootstrap
___
## Installation
```bash
pip install fastbootstrap
```
___
## Usage
```python
import numpy as np
import fastbootstrap as fb

n = 10000

sample_1 = np.random.exponential(scale=1 / 0.001, size=n)
sample_2 = np.random.exponential(scale=1 / 0.00101, size=n)

stats = fb.two_sample_bootstrap(sample_1, sample_2, plot=True)
```
![img.png](img.png)
___
Check interactive notebook [here](https://nbviewer.org/github/timofeytkachenko/bootstrap/blob/main/bootstrap_experiment.ipynb)
