semvec/pypi-packages huggingface dataset:
caeroc 0.0.4a0
Compressible aerodynamics calculator in Python
Requires Python: >=3.10
Keywords: calculator, compressible aerodynamics, gas dynamics

caeroc
======

Compressible Aerodynamics Calculator for Python
-----------------------------------------------

|version| |LICENSE| |travis|

A python package for compressible flows. A dynamic toolkit which enables
you to make use of the formulae governing compressible flows.

.. figure:: https://raw.githubusercontent.com/ashwinvis/caeroc/gh-pages/screenshot.png
   :alt: Screenshot

.. figure:: https://raw.githubusercontent.com/ashwinvis/caeroc/gh-pages/caeroc-video.png
   :alt: Demo. Click to see the full video
   :align: right
   :target: https://tube.tchncs.de/w/21xYGCA4DDzkaeFKwq6Gy5

Requirements
------------
- Python 3.10
- pylab (numpy, scipy and matplotlib)
- scikit-aero >= 0.2
- PyQt5 / PySide2 (optional, but recommended for GUI)
- pandas (optional: for making tables)
- colorlog (optional: for coloured log)

Installation
------------
To install from PyPI:

.. code:: bash

    # Any of the following
    pip install caeroc
    pip install caeroc[pyqt]
    pip install caeroc[pyside]

To install development versions of ``caeroc`` and ``scikit-aero``

.. code:: bash

    pip install 'caeroc[pyqt] @ https://github.com/ashwinvis/caeroc/archive/main.zip'
    # or
    pip install 'caeroc[pyside] @ https://github.com/ashwinvis/caeroc/archive/main.zip'

If the current configuration of the GUI does not work for you,
regenerate it by running:

.. code:: bash

    cd caeroc/gui
    ./configure

Launch
------
Simply run in your terminal

.. code:: bash

    caeroc-app

Features
--------

-  [x] Command-line tool which opens a Qt based GUI calculator

   In development

-  [ ] Save data as a database
-  [ ] Plotting graphs
-  [ ] Generate gas tables
-  [ ] Calculate flow characteristics: Coefficient of pressure, lift and
   drag for basic profiles.

Courtesy
--------

-  The idea for a compressible aerodynamics calculator in the form an
   online JS tool had been implemented by `William
   Devenport <https://www.aoe.vt.edu/people/faculty/devenport.html>`__
   `here <https://web.archive.org/web/20221106025044/http://www.dept.aoe.vt.edu/~devenpor/aoe3114/calc.html>`__.
   This project is pushing more functionalities as an offline tool and
   allowing users to dynamically use the formulae for specific cases.
-  Thanks to the scikit-aero team for being the backend

.. |version| image:: https://img.shields.io/pypi/v/caeroc.svg
   :target: https://pypi.python.org/pypi/caeroc/
   :alt: Latest version
.. |LICENSE| image:: https://img.shields.io/badge/license-GPL-blue.svg
   :target: /LICENSE
.. |travis| image:: https://travis-ci.org/ashwinvis/caeroc.svg?branch=master
   :target: https://travis-ci.org/ashwinvis/caeroc
auto-pinterest-image-download 0.1
A simple Pinterest image scraper
Requires Python: >=3.6

# Pinterest Scraper

A powerful Python tool to scrape and download images from Pinterest using Playwright. This tool extracts image URLs from any Pinterest board and downloads them concurrently with multi-threading, offering both headless and standard browser modes.

## Features

- **Image Scraping:** Extract image URLs from any Pinterest board.
- **Concurrent Downloads:** Download images efficiently using multi-threading.
- **Command-Line Interface (CLI):** Simple and user-friendly CLI for quick operations.
- **Headless Mode:** Option to run in headless mode for faster, resource-efficient scraping.
- **Modular Design:** Well-organized code structure for easy customization and extension.

## Installation

### Prerequisites

- Python **3.6+**
- Google Chrome or Chromium installed
- Playwright dependencies installed

### Steps

1. **Clone the repository:**

   ```bash
   git clone https://github.com/Jarvis-Mi/-Pinterest-Image-Scraper.git
   cd pinterest_scraper
     ```
2. **Install dependencies:**
      ```bash
         pip install -e .
         playwright install
      ```
##   Usage
###   Run the scraper using:

**Run the scraper using:**
```bash
pinterest-scraper <username> <tag> <num_images> [--headless]
```
##   Arguments:
1. <username>: Pinterest username or profile name.
2. <tag>: Tag or board name.
3. <num_images>: Number of images to download.
4. [--headless]: (Optional) Run the browser in headless mode.

##   Example:
```bash
pinterest-scraper exampleuser travel 20 --headless
```
***This command scrapes and downloads 20 images from the "travel" board of user "exampleuser" in headless mode.***

###   Project Structure :
```bash
pinterest_scraper/
â”œâ”€â”€ pinterest_scraper/
â”‚   â”œâ”€â”€ __init__.py          # Package initialization and metadata
â”‚   â”œâ”€â”€ cli.py               # Command-line interface implementation
â”‚   â”œâ”€â”€ downloader.py        # Functions for downloading images
â”‚   â””â”€â”€ scraper.py           # Functions for scraping image URLs
â”œâ”€â”€ setup.py                 # Setup script for packaging and installation
â”œâ”€â”€ README.md                # Project documentation
â””â”€â”€ LICENSE                  # License file
```
eidos-engine 1.2.2
A scalable and flexible ETL framework for distributed data processing.
Requires Python: >=3.10

Eidos Engine is a flexible and scalable framework for executing ETL processes in a distributed manner. It supports custom functions, allowing seamless integration of complex pipelines while optimizing data processing efficiently.

Key features include:
✅ Distributed Execution – Speed up processing by distributing tasks across multiple instances.
✅ Flexibility – Easily adapt pipelines by integrating custom functions effortlessly.
✅ Real-Time Logging – Monitor execution with detailed logs for easier debugging and optimization.
✅ Large-Scale Data Support – Leverage high-performance libraries like Pandas, Polars, and DeltaLake to handle massive datasets.

Whether for on-demand processing or continuous pipelines, Eidos Engine provides a robust and adaptable solution for any ETL workflow. 🚀
jarvis-mi-pinterest-image-scraper 0.1
A simple Pinterest image scraper
Requires Python: >=3.6

# Pinterest Scraper

A powerful Python tool to scrape and download images from Pinterest using Playwright. This tool extracts image URLs from any Pinterest board and downloads them concurrently with multi-threading, offering both headless and standard browser modes.

## Features

- **Image Scraping:** Extract image URLs from any Pinterest board.
- **Concurrent Downloads:** Download images efficiently using multi-threading.
- **Command-Line Interface (CLI):** Simple and user-friendly CLI for quick operations.
- **Headless Mode:** Option to run in headless mode for faster, resource-efficient scraping.
- **Modular Design:** Well-organized code structure for easy customization and extension.

## Installation

### Prerequisites

- Python **3.6+**
- Google Chrome or Chromium installed
- Playwright dependencies installed

### Steps

1. **Clone the repository:**

   ```bash
   git clone https://github.com/Jarvis-Mi/-Pinterest-Image-Scraper.git
   cd pinterest_scraper
     ```
2. **Install dependencies:**
      ```bash
         pip install -e .
         playwright install
      ```
##   Usage
###   Run the scraper using:

**Run the scraper using:**
```bash
pinterest-scraper <username> <tag> <num_images> [--headless]
```
##   Arguments:
1. <username>: Pinterest username or profile name.
2. <tag>: Tag or board name.
3. <num_images>: Number of images to download.
4. [--headless]: (Optional) Run the browser in headless mode.

##   Example:
```bash
pinterest-scraper exampleuser travel 20 --headless
```
***This command scrapes and downloads 20 images from the "travel" board of user "exampleuser" in headless mode.***

###   Project Structure :
```bash
pinterest_scraper/
â”œâ”€â”€ pinterest_scraper/
â”‚   â”œâ”€â”€ __init__.py          # Package initialization and metadata
â”‚   â”œâ”€â”€ cli.py               # Command-line interface implementation
â”‚   â”œâ”€â”€ downloader.py        # Functions for downloading images
â”‚   â””â”€â”€ scraper.py           # Functions for scraping image URLs
â”œâ”€â”€ setup.py                 # Setup script for packaging and installation
â”œâ”€â”€ README.md                # Project documentation
â””â”€â”€ LICENSE                  # License file
```
num2rus 1.0.0
A small package to convert float numbers to russian string
Requires Python: >=3.6

[![PyPI Downloads](https://static.pepy.tech/badge/num2rus)](https://pepy.tech/projects/num2rus)
# num2rus v 1.0.0

Небольшой python пакет для преобразования чисела в текст с учетмо множественного числа. 
A small package to convert float numbers to russian string.

## What's new
- new currencies have been added:
    - USD
    - EUR
    - CNY

## Usage

### Install package

`pip install num2rus`

### Import it

```python
 import num2rus
 num2rus.converter(1.10) # один рубль десять копеек
 num2rus.converter(651_000_000_000) # шестьсот пятьдесят один миллиард рублей ноль копеек
 num2rus.converter(
    651_000_000_000,
    zero_on=False
) # шестьсот пятьдесят один миллиард рублей
 num2rus.converter(
    651_000_000_000.01,
    only_rubles=True
) # шестьсот пятьдесят один миллиард рублей
num2rus.converter(
    651_000_000_000.01,
    currency="CNY"
) # шестьсот пятьдесят один миллиард один юань два цзяо один фынь 
```
jarvis-mi-pinterest-scraper 0.1
A simple Pinterest image scraper
Requires Python: >=3.6

# Pinterest Scraper

A powerful Python tool to scrape and download images from Pinterest using Playwright. This tool extracts image URLs from any Pinterest board and downloads them concurrently with multi-threading, offering both headless and standard browser modes.

## Features

- **Image Scraping:** Extract image URLs from any Pinterest board.
- **Concurrent Downloads:** Download images efficiently using multi-threading.
- **Command-Line Interface (CLI):** Simple and user-friendly CLI for quick operations.
- **Headless Mode:** Option to run in headless mode for faster, resource-efficient scraping.
- **Modular Design:** Well-organized code structure for easy customization and extension.

## Installation

### Prerequisites

- Python **3.6+**
- Google Chrome or Chromium installed
- Playwright dependencies installed

### Steps

1. **Clone the repository:**

   ```bash
   git clone https://github.com/Jarvis-Mi/-Pinterest-Image-Scraper.git
   cd pinterest_scraper
     ```
2. **Install dependencies:**
      ```bash
         pip install -e .
         playwright install
      ```
##   Usage
###   Run the scraper using:

**Run the scraper using:**
```bash
pinterest-scraper <username> <tag> <num_images> [--headless]
```
##   Arguments:
1. <username>: Pinterest username or profile name.
2. <tag>: Tag or board name.
3. <num_images>: Number of images to download.
4. [--headless]: (Optional) Run the browser in headless mode.

##   Example:
```bash
pinterest-scraper exampleuser travel 20 --headless
```
***This command scrapes and downloads 20 images from the "travel" board of user "exampleuser" in headless mode.***

###   Project Structure :
```bash
pinterest_scraper/
â”œâ”€â”€ pinterest_scraper/
â”‚   â”œâ”€â”€ __init__.py          # Package initialization and metadata
â”‚   â”œâ”€â”€ cli.py               # Command-line interface implementation
â”‚   â”œâ”€â”€ downloader.py        # Functions for downloading images
â”‚   â””â”€â”€ scraper.py           # Functions for scraping image URLs
â”œâ”€â”€ setup.py                 # Setup script for packaging and installation
â”œâ”€â”€ README.md                # Project documentation
â””â”€â”€ LICENSE                  # License file
```
flacue 0.1.2
Split FLAC file using CUE file.
Requires Python: <4.0,>=3.12

# flacue

Lossless FLAC splitter using CUE sheets, powered by ffmpeg/ffcuesplitter.

### Description

A super simple command line tool that splits large lossless audio files (like FLAC, APE etc.) into individual tracks based on information from a CUE sheet.

### Features
*   It is a simple wrapper around `ffcuesplitter`
*   Supports common lossless audio formats
*   Easy to use from the terminal
*   Option to remove original file and cleanup your audio library after splitting

### Depends on:
*   ffmpeg - download it from https://ffmpeg.org/


### Installation

    pip install flacue

### Usage from terminal:

    ~$ flacue "path/to/cuefile.cue"  
    ~$ flacue "path/to/cuefile.cue" -ro  # removes the original audio file