semvec/pypi-packages huggingface dataset:
ucurv 0.1.0
uniform discrete curvelet transform
Requires Python: >=3.6

# UCURV Uniform Discrete curvelet transforms.

This package implements the Uniform Discrete Curvelet Transform as described in "Uniform discrete curvelet transform" TT Nguyen, H Chauris - IEEE transactions on signal processing, 2010, following the suggestion in https://github.com/PyLops/pylops/wiki/GSoC-2023-Project-Ideas

# What are the curvelet transforms?
https://en.wikipedia.org/wiki/Curvelet
checkifc 0.0.7
A package to work with IFC meshes
Requires Python: >=3.11

# CheckModel

A simple set of classes to help you deal with geometry processing using IFC

> [!CAUTION]
> This is very unoptimized for medium and large models. Therefore, teh only current purpose is to allow the proof of concept in small models and help better understand the geometry processing of IFC models.

This CheckModel package is based on the usage of IfcOpenShell and Trimesh. Therefore, most of the methods used to execute the verifications are from these other libraries and I recommend accessing their documentation.

The package is also based on a olde version of the IfcOpenShell Selector that, as far as I know, is not available any longer with the same structure and syntax of when I written this few months ago. For this, I have included the older version of Selector in this package with some mods of mine as well.

Here you can still find some tips on the older Selector syntax >> https://wiki.osarch.org/index.phptitle=IfcOpenShell_code_examples#IFC_Query_Syntax
mnavunawa 0.0.1
A python library for intuitive interaction with the Google Analytics API
Requires Python: >=3.8

# Google Analytics Data Wrapper Library

A Python library to interact with Google Analytics data, providing a simple interface to pull reports and convert them into a table format.

## Features

- Pull reports from Google Analytics.
- Convert reports into a tabular format for easy data manipulation.

## Installation

To install the library, run:

```bash
pip install ganalytics

```

## Example
Refer to quickstart.py for example usage.