semvec/pypi-packages huggingface dataset:
andy-serenade-flow 1.2.6
ETL Pipeline Implementation. Extract, Transform, and Load data from local or remote data sources.   
Requires Python: >=3.8

# SerenadeFlow

*SeranadeFlow* is an ETL Pipeline Implementation.

It *Extracts*, *Transforms*, and *Loads* data from local or remote data sources.

## Requirements

The project is configured to operate in _Python >= 3.8_ enviornments.

## Quickstart

Coming Soon.
mpl-qt-viz 1.1.0
A Python package providing enhanced data visualization and ROI selection built on top of Matplotlib and PyQt6.
Requires Python: >=3.7

# Matplotlib-Qt-Visualization
A Python package providing enhanced data visualization and ROI selection built on top of Matplotlib and PyQt6

[Documentation](https://mpl-qt-viz.readthedocs.io/en/latest/)

# Installing
## Installing from the source code
This package can be installed in the same ways that most python packages installed. The easiest way is to use Pip:
Navigate to the root directory of this Git repository and run `pip install .`

## Installing from PyPi
`pip install mpl_qt_viz`

## Install with Conda
`conda install -c conda-forge mpl_qt_viz`

### Examples

#### Using the `PlotNd` widget to visualize hyperspectral imagery of a cancer cell
![](docSrc/resources/plotNdCell.gif)

#### Using the `DockablePlotsWindow` to help organize a large number of plots.
![](docSrc/resources/dockablePlotsExample.gif)
andy-python-template 0.1.1
ETL Pipeline Implementation. Extract, Transform, and Load data from both local and remote data sources.
Requires Python: >=3.8

# Python Template

Template for general `Python` development.

## Development Workflow

First, a local project environment needs to be created, then the project's modules will be installed into locally into a virtual environment.

1. Clone the repository.

   ```sh
   git clone https://github.com/bellanov/python-template.git
   cd python-template
   ```

2. Create a virtual environment.

   ```sh
   # Create Virtual Environment
   python3 -m venv .venv

   # Activate Virtual Environment
   source .venv/bin/activate

   # Install Dependencies
   pip install -r requirements.txt 

   # Deactivate Virtual Environment
   deactivate
   ```

3. Make your changes, increment the version in `pyproject.toml`, and **build** the application.

   ```sh
   # Build a Python package distribution
   scripts/build.sh

   # Publish a distribution to PyPi (testpypi)
   scripts/release.sh

   # Install the Python package locally, from testpypi.
   scripts/install.sh "<VERSION>"

   # Execute Unit Tests
   scripts/test.sh

   # Execute Code Samples
   scripts/examples.sh

   # Lint Code Base
   scripts/lint.sh
   ```