semvec/pypi-packages huggingface dataset:
itkwasm-mesh-to-poly-data 1.1.1
Convert an ITK Mesh to a simple data structure compatible with vtkPolyData.
Requires Python: >=3.8
Keywords: emscripten, itkwasm, wasi, webassembly

# itkwasm-mesh-to-poly-data

[![PyPI version](https://badge.fury.io/py/itkwasm-mesh-to-poly-data.svg)](https://badge.fury.io/py/itkwasm-mesh-to-poly-data)

Convert an ITK Mesh to a simple data structure compatible with vtkPolyData.

## Installation

```sh
pip install itkwasm-mesh-to-poly-data
```
itkwasm-mesh-to-poly-data-emscripten 1.1.1
Convert an ITK Mesh to a simple data structure compatible with vtkPolyData.
Requires Python: >=3.8
Keywords: emscripten, itkwasm, webassembly

# itkwasm-mesh-to-poly-data-emscripten

[![PyPI version](https://badge.fury.io/py/itkwasm-mesh-to-poly-data-emscripten.svg)](https://badge.fury.io/py/itkwasm-mesh-to-poly-data-emscripten)

Convert an ITK Mesh to a simple data structure compatible with vtkPolyData. Emscripten implementation.

This package provides the Emscripten WebAssembly implementation. It is usually not called directly. Please use the [`itkwasm-mesh-to-poly-data`](https://pypi.org/project/itkwasm-mesh-to-poly-data/) instead.


## Installation

```sh
import micropip
await micropip.install('itkwasm-mesh-to-poly-data-emscripten')
```

## Development

```sh
pip install hatch
hatch run download-pyodide
hatch run test
```
itkwasm-mesh-to-poly-data-wasi 1.1.1
Convert an ITK Mesh to a simple data structure compatible with vtkPolyData.
Requires Python: >=3.8
Keywords: itkwasm, wasi, webassembly

# itkwasm-mesh-to-poly-data-wasi

[![PyPI version](https://badge.fury.io/py/itkwasm-mesh-to-poly-data-wasi.svg)](https://badge.fury.io/py/itkwasm-mesh-to-poly-data-wasi)

Convert an ITK Mesh to a simple data structure compatible with vtkPolyData. WASI implementation.

This package provides the WASI WebAssembly implementation. It is usually not called directly. Please use [`itkwasm-mesh-to-poly-data`](https://pypi.org/project/itkwasm-mesh-to-poly-data/) instead.


## Installation

```sh
pip install itkwasm-mesh-to-poly-data-wasi
```

## Development

```sh
pip install pytest
pip install -e .
pytest

# or
pip install hatch
hatch run test
```
returnsage 0.0.3
A library to calculate real estate returns, taxes, stamp duty, and admin fees
Requires Python: >=3.6

# returnsage

`returnsage` is a Python library designed to help real estate investors estimate property returns after deducting taxes, stamp duties, and admin fees. It includes functions for calculating capital gains tax, administrative fees, and total property cost based on price.

## Features

- **Calculate Estimated Returns**: Estimate property returns after deducting taxes (capital gains and admin fees).
- **Calculate Stamp Duty**: Calculate stamp duty for properties based on their price.
- **Calculate Admin Fee**: Calculate the administrative fee as a percentage of the property price.
- **Total Property Cost**: Calculate the total cost of the property including taxes and fees.

## Installation

You can install `returnsage` using `pip`:

```bash
pip install returnsage
sam-pytools 0.1.3
sam_pytools is a collection of Python utilities that provide commonly used functions, so we do not need to write
Requires Python: >=3
Keywords: urllib, httplib, http

# PY Tools

`sam_pytools` is a collection of Python utilities that provide commonly used functions for handling dates, HTTP requests, JSON manipulation, logging, and more.
These tools help streamline various tasks in Python projects.


### Installation

`pip install samPytools`

#### Available Modules
    GlobalValues: Manages global values like home and log directories.
    CoreUtils: Contains utility methods for general operations 
    like downloading images, decoding bytes, generating unique IDs, etc.
    DateUtils: Provides date manipulation functions, 
    including time difference calculations and interval additions.
    HttpUtils: Offers HTTP helper methods for GET and POST requests.
    JsonUtils: Contains JSON helper functions, like converting dictionaries to objects.
    LogUtils: Manages logging and error handling.
    AsyncUtils: Enables asynchronous execution of given tasks with asyncio or ThreadPoolExecutor.


`pip install sam_pytools`

#### Special features

For easier and clean error tracing

`LogUtils.getErrorMessage()` is the one that can make life easier

Another is AsyncUtils
```
    from sam_tools import AsyncUtils

      def task1():
          time.sleep(2)
          return 'task1 finished ' + DateUtils.now_str()
      
      def task2(par1):
          time.sleep(3)
          return f'task2 finished {DateUtils.now_str()}, received params => {par1}'
      
      def task3(par1, par2):
          time.sleep(1)
          return f'task3 finished {DateUtils.now_str()}, received params => {par1},{par2}'

      task_list = [(task1, []), (task2, [1]), (task3, [1, 2])]
      #Execute tasks asynchronously
      print(f'Tasks reached at {DateUtils.now_str()}')
      AsyncUtils.execute_tasks_with_no_wait(task_list)
      print(f'Tasks started at {DateUtils.now_str()}')
```


#### General about pip

If you want to reset your testing virtual environment

`pip freeze | xargs pip uninstall -y`

then to install your requirements

`pip install -r requirements.txt`
skyway-cloud 2.0.5
Skyway -- a Python package for bridging on-premises and cloud resources
Requires Python: >=3.8

# Skyway

Skyway is an integrated platform developed at the U Chicago Research Computing
Center to allow users to burst computing workloads from the on-premise HPC cluster,
to run on remote commercial cloud platforms such as Amazon AWS,
Google GCP, Microsoft Azure and Oracle Cloud Infrastructure. Skyway enables users
to access cloud resources in a seamless manner with both command line and graphical
user interfaces. 

Refer to the [Skyway homepage](https://cloud-skyway.rcc.uchicago.edu/)
for more information.

This repository contains the Skyway documentation. The Skyway source code is
available through [PyPI](https://pypi.org/project/Skyway-cloud/).