semvec/pypi-packages huggingface dataset:
pipewine 0.2.0
Data workflow automation
Requires Python: >=3.12
Keywords: dataflow, dataset, orchestration, pipeline, workflow

# Pipewine

<p align="center">
<a href='https://coveralls.io/github/LucaBonfiglioli/pipewine?branch=develop'><img src='https://coveralls.io/repos/github/LucaBonfiglioli/pipewine/badge.svg?branch=develop' alt='Coverage Status' /></a>
<a href='https://pypi.org/project/pipewine/'><img src='https://img.shields.io/pypi/v/pipewine' alt='PyPI version' /></a>
<a href='https://lucabonfiglioli.github.io/pipewine'><img src='https://img.shields.io/badge/docs-latest-blue' alt='Documentation' /></a>
<a href='https://unlicense.org/'><img src='https://img.shields.io/badge/license-Unlicense-blue' alt='License' /></a>
</p>

Pipewine is a complete rewrite of the [Pipelime](https://github.com/eyecan-ai/pipelime-python.git) library and intends to serve the same purpose: provide a set of tools to manipulate multi-modal small/medium-sized datasets, mainly for research purposes in the CV/ML domain.

## 🚀 Features

- **Unified access pattern** to datasets of various formats, origin and content.
- **Underfolder**, a quick and easy filesystem-based dataset format good for small/medium datasets.
- **Common data encoding** formats for images, text and metadata.
- **Common operators** to manipulate existing datasets.
- **Workflows** that transform data in complex DAGs (Directed Acyclic Graph) pipelines.
- **CLI** (Command Line Interface) to quickly run simple workflows without writing a full python script.
- **Extendibility**, allowing the user to easily extend the library in many aspects, adding components that seamlessly integrate with the built-in ones:
    - Add custom dataset formats
    - Add custom data encoding formats
    - Add custom operators on datasets
    - Register components to the CLI

## Documentation

Full documentation is available at [lucabonfiglioli.github.io/pipewine](https://lucabonfiglioli.github.io/pipewine).

## Installation

Pipewine is available on PyPI and can be installed via pip:

```bash
pip install pipewine
```

## License

Pipewine is public domain software released under the [Unlicense](https://unlicense.org/). You can do whatever you want with it.
consolex 2.0
A modern console logging module for Python but similar to JavaScript
Requires Python: >=3.6

# consolex
If you're familiar with JavaScript and miss the console.log functionality in Python, consolex is perfect for you. It brings the same convenience and style, but with Python syntax!

**consolex** is a Python package that mimics the familiar JavaScript-style console logging in a modern and user-friendly way. With this package, you can easily print logs, warnings, errors, and success messages in the terminal using stylish icons and customizable options.

## 🚀 What's New in v2.0?
- ✅ New `primary()` method
- 🎀 New text colors
- ⚙️ Improved formatting options (`sep`, `end`)
- 🐛 Bug fixes and performance improvements


## Features
- **log()**: Print general messages to the console.
- **warn()**: Print warning messages with a warning icon.
- **error()**: Print error messages with an error icon.
- **success()**: Print success messages with a success checkmark.
- **primary()**: Print primary messages with color.

All methods support custom separators, line endings, and variable numbers of arguments, similar to JavaScript's `console.log`.

## Examples
```
from consolex import console

# Print a log message
console.log("This is a log message.")

# Print a warning message
console.warn("This is a warning message.")

# Print an error message
console.error("This is an error message.")

# Print a success message
console.success("This is a success message.")

# Print a primary message
console.primary("This is a primary message.")
```

## Installation

You can easily install `consolex` via pip:

```bash
pip install consolex
funcstash 1.1.0
A package that adds useful functions to Python.

# Func Stash
 A package that adds useful functions to Python.

# Functions

Increment variable:
```
inc(x)
```
Decrement variable:
```
dec(x)
```
Convert a list of strings to integers (only works with string numbers)
```
convertToInt(list)
```

Convert a list of integers to strings
```
convertToStr(list)
```

Convert a list to boolean values
```
convertToBool(list)
```