semvec/pypi-packages huggingface dataset:
PowerScrape 0.1.2
A comprehensive and versatile Python module for web scraping.

```markdown
# PowerScrape

PowerScrape is a comprehensive and versatile Python module for web scraping. It provides powerful functionalities to extract various types of content from the web, including HTML, JSON, images, PDFs, and more. The module also includes features for handling different types of web requests, handling errors, and cloning entire websites into local files.

## Features

- Scraping HTML content from web pages
- Scraping JSON data from APIs
- Downloading images from a web page
- Rendering JavaScript-based web pages
- Extracting text from PDF files
- Extracting data points from chart images
- Making HTTP POST requests
- Handling various HTTP status codes
- Cloning entire websites into local files

## Installation

You can install PowerScrape using pip:

```bash
pip install PowerScrape
```

## Usage

```python
from PowerScrape import Scraper

# Create an instance of the Scraper class
scraper = Scraper()

# Use the various methods provided by the Scraper class to perform web scraping operations

# Example: Scrape a normal HTML page
soup = scraper.scrape_html('http://example.com')

# Example: Scrape a JSON API
data = scraper.scrape_json('http://api.example.com/data')

# Example: Scrape and download images 
scraper.scrape_images('http://example.com/gallery', 'scraped_images')

# Example: Scrape JavaScript rendered page
html = scraper.scrape_javascript('http://example.com')

# Example: Extract text from a PDF file
text = scraper.scrape_pdf('http://example.com/doc.pdf')

# Example: Extract data points from a chart image
data = scraper.scrape_graph('http://example.com/chart.png')

# Example: Make an HTTP POST request
response = scraper.http_post_request('http://example.com/post_endpoint', data={'key': 'value'})

# Example: Clone a website
scraper.clone_website('http://example.com', 'cloned_website')
```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

--------------
Made by ^mind-set#0001
cellz 1.1.0
An interactive cell runner for python
Requires Python: >=3.7

# cellz

[![PyPI - Version](https://img.shields.io/pypi/v/cell.svg)](https://pypi.org/project/cell)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/cell.svg)](https://pypi.org/project/cell)

## Installation

```console
pip install cellz
```

## Usage

Cellz is an interactive cell interpreter for python. It allows you to run python code from a source file, cell-by-cell: similar to the way we use cells in jupyter notebooks, and all from the command line.

Cellz is interactive: you can continue to develop the source code without leaving the interpreter!

First split you code into separate cells using the token '#%% cellname'

```python
#file.py
import sys

#%% cell1
print("hello!")

#%% cell2

def add1(x):
	return x+1
	
#%% cell3
print(add1(5))
```

Then run the file in the cellz interpreter

```
cellz file.py
```

This will start the interpreter, from which one can run specific cells of code, one at a time.  

## License

`cellz` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
crc-event-schemas 0.1.7
CloudEvents type bindings for console.redhat.com

console.redhat.com CloudEvents for Python
=======================================

This repo contains Python bindings of the JSON schema definitions for events
generated by console.redhat.com

Getting started
---------------

`crc-event-schemas` is available on [PyPi](https://pypi.org/).
You can install using [pip](https://pip.pypa.io/en/stable/).

```bash
$ pip install crc-event-schemas
```

Layout
------

* `api`: Defines a submodule with the current version of console.redhat.com
  CloudEvents.
* `examples`: Contains examples on how to use this library.
* `event_schemas`: Python bindings for console.redhat.com cloud events.

Generating code
---------------

The [generate.js](./scripts/generate.js) script generates the Python code.

This script is executed on any push to our main branch, ensuring it never goes out 
of sync.

Releasing a new version
-----------------------

The release process works with 
[release-please-action](https://github.com/google-github-actions/release-please-action).
You can head to their 
[documentation](https://github.com/google-github-actions/release-please-action) 
to learn more about it, but in a nutshell:
 - Uses [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/) 
 - Creates a PR when there is something to be released (patch, minor or major).
   Once that PR is merged, a new release occurs. 

The release is published to [PyPi](https://pypi.org/).

Docs
----

Docs are automatically generated and hosted on GitHub pages: 
https://redhatinsights.github.io/event-schemas-python/.
pysigmap 0.1.10
Application software for calculating the preconsolidation pressure from the incremental loading oedometer testing
Requires Python: >=3.7

========
pySigmaP
========

.. image:: https://img.shields.io/badge/Made%20with-Python3-brightgreen.svg
        :target: https://www.python.org/
        :alt: made-with-python

.. image:: https://img.shields.io/pypi/v/pysigmap.svg
        :target: https://pypi.python.org/pypi/pysigmap

.. image:: https://img.shields.io/badge/License-BSD%202--Clause-brightgreen.svg
        :target: https://github.com/eamontoyaa/pysigmap/blob/master/LICENSE
        :alt: License

.. image:: https://readthedocs.org/projects/pysigmap/badge/?version=latest
        :target: https://pysigmap.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status




Open-source application software developed in Python3 to determine
the preconsolidation pressure of soils in incremental loading (IL) oedometer
testing. **pySigmaP** includes nine methods such as the method of Casagrande,
Pacheco Silva, Butterfield, Oikawa, Becker et al., Morin, Onitsuka et al.,
Wang and Frost, and Boone.


Features
--------

* `Documentation <https://pysigmap.readthedocs.io>`_
* `PyPI <https://pypi.org/project/pysigmap>`_
* `GitHub <https://github.com/eamontoyaa/pysigmap>`_
* Open source and free software: `BSD-2-Clause License <https://opensource.org/licenses/BSD-2-Clause>`_.


Citation
--------

To cite **pySigmaP** in publications, use:

    Montoya-Araque, E. A., Aparicio-Ortube, A. J., Zapata-Medina, D. G., & Arboleda-Monsalve, L. G. (2022).
    An open-source application software to determine the preconsolidation pressure of soils in incremental
    loading oedometer testing: pySigmaP. SoftwareX, 17, 100990. https://doi.org/10.1016/j.softx.2022.100990

A BibTeX entry for LaTeX users is:

.. code:: bibtex

    @article{MontoyaAraque_etal_2022_art,author = {Montoya-Araque, Exneyder A. and Aparicio-Ortube, A.J. and Zapata-Medina, David G. and Arboleda-Monsalve, Luis G.},
    doi = {10.1016/j.softx.2022.100990},
    issn = {23527110},
    journal = {SoftwareX},
    keywords = {Oedometer testing,Open-source application software,Preconsolidation pressure,Python 3,Soil},
    month = {jan},
    pages = {100990},
    publisher = {Elsevier B.V.},
    title = {{An open-source application software to determine the preconsolidation pressure of soils in incremental loading oedometer testing: pySigmaP}},
    volume = {17},
    year = {2022}
    }