semvec/pypi-packages huggingface dataset:
torchPS 1.0.1
A package for Phase Space Sampling
Requires Python: >=3.6

# TorchPS
A phase-space generator based on "RAMBO on diet" for PyTorch

This is a PyTorch implementation of "RAMBO on diet" (arXiv:1308.2922) providing all the necessary functionalites for phase space sampling. 
It maps the unit-hypercube into the final state particle phase space and can be used to integrate matrix elements with a 
unit hypercube phase space generator.
Geometry-app-beta 1.0.1
A simple GUI application to solve geometrical problems
Requires Python: >=3.1

This is a simple GUI application to solve geometrical problems. This app is currently in beta stage. Many more features are yet to come!
 - [Documentation](http://geometry-app.rtfd.io/)
 - [Github repository](https://github.com/Jothin-kumar/Geometry-app)
 - [Blog](https://geometry-app.blogspot.com)
**Read the documentation for more info**
file-updater 0.0.8
Local file updater
Keywords: file,update,path,backup

# Local file updater
> A package that allows to backup local files to a specific directory and update already backuped files if they were modified

## Install

`pip install file-updater`

## Console script

`lofup.py [Source path] [Destination path] (optional: Path to .fupignore or .fupinclude file)`

Example:

![sample_1](https://user-images.githubusercontent.com/48239596/127472933-66bf1f94-bbce-47dd-b112-18442645ce3d.PNG)

## How to use in code

```python
from fup.updater import FileUpdater

file_updater = FileUpdater(output_console=True)

file_updater.update_files(
    path_source=r'C:\Users\riffe\schule\5.klasse\pos\docs', 
    path_dest=r'C:\Users\riffe\spare\programming\file-update-testfolder')
```

## Ignore or include files

You can also ignore or include files by providing a full or relative path to a .fupignore or .fupinclude file. If you specify
a .fupignore file, all files will be included by default except files that are affected by the .fupignore file. However, if you specify a .fupinclude file, all files will be ignored by default.

```python
from fup.updater import FileUpdater

file_updater = FileUpdater(output_console=True, fup_file_path=r'C:\Temp\.fupignore.txt')
```

Example for such a file:

```

# full paths
c:\Temp\From\text4.docx
c:\Temp\From\sub

# relative paths (need to have exclamation mark at the start of the line)
!sub\text3.docx

# ignore or include certain file extensions
*.txt

# ignore or include general files or directories
*file_1.txt
*sample_dir
```
moyu123 0.0.2
python常用工具集

**moyu123(摸鱼)**

# 说明

Python编程常用函数和工具集合

# 使用方法

`pip install --upgrade moyu123`

# 工具列表

## database 数据库相关

- light_orm：简单的orm接口编程，不必事先定义orm映射类也能操作表。
- S3Helper：操作 aws s3对象存储的类

# io 文件读写相关

- logger：loguru的封装，防止重复生成logger对象

# pandas dataframe常用函数封装

- pd_orm：模拟orm操作dataframe

# plot 简答绘图

- plotly-express：plotly的封装
- seaborn：seaborn的封装

# timeseries 时序数据操作相关
gauss-binomial-probability 1.5
Gaussian and Binomial distributions

# Gaussian-Binomial-distributions package

This package contains the code for calculating the probability density function of gaussian and binomial distribution by providing the data file. From the data file, the package contains two classes called gaussian and binomial which can calculate the further details such as mean and standard deviation from the data file provided (data file should be .txt).
Moreover, the classes can be further use to calculate probability density and plot the respective graphs.And one can use it further for adding two or more Gaussian function or Binomial functions.

# Files

Below is the brief information about the files used:
1. __init__.py is the file for importing the Binomial and Gaussian class from the respective modules

2. General Distribution (`Generaldistribution.py`) - This module of python package contains the code of `class Distribution` for calculating and visualizing a probability distribution. Additionally, there is a method called `read_data_file`, which is the function to read in data from a txt file. The txt file should have one number (float) per line. The numbers are stored in the data attribute.

3. Gaussian Distribution (`Gaussindistribution.py`) - This module contains the class for calculating and visulizing a Gaussian distribution which inherits the properties of Distribution from `Generaldistribution.py`.

4. Binomial Distribution (`Binomialdistribution.py`) - Binomial distribution class for calculating and visualizing a Binomial distribution.

# Installation guide for the package

You can install the gauss-binomial-probability from PyPI:
`pip install gauss_binomial_probability`