semvec/pypi-packages huggingface dataset:
programminglython 0.2.2
Lython programming language built on top of CPython
License: MIT

[![status workflow test](https://github.com/guangrei/lython/actions/workflows/python-app.yml/badge.svg)](https://github.com/guangrei/lython/actions) 
[![status workflow build](https://github.com/guangrei/lython/actions/workflows/release_to_pypi.yml/badge.svg)](https://github.com/guangrei/lython/actions)
[![Downloads](https://static.pepy.tech/badge/programminglython)](https://pepy.tech/project/programminglython)
[![Code style: black ]( https://img.shields.io/badge/code%20style-black-000000.svg )](https://github.com/psf/black)

example lython code

```python
def test(num)
    for i in range(num) do
        if i == 0 then
            print("zero")
        elif i % 2 == 1 then
            print("odd")
        else
            print("even")
        end # if else
    end # for
end # def

test(10)
```

Note:

- The indentation in the code above is just to make the code look pretty and has no effect on the parser.

- you cant use `then`, `do`, `end` as name variable, function and class in lython.

github: [guangrei/lython](https://github.com/guangrei/lython)
dash-handsontable 0.1.2
Handsontable for Plotly Dash
License: MIT
Requires Python: >=3.8

# Dash Handsontable

Handsontable for Plotly Dash

dash-handsontable is a library that allows [Handsontable](https://handsontable.com/)
to be used in a [Plotly Dash](https://dash.plotly.com/) application.

## Install

```shell
pip install dash_handsontable
```

## Development
### Getting Started

1. Create a new python environment:
   ```shell
   python -m venv venv
   . venv/bin/activate
   ```
   _Note: venv\Scripts\activate for windows_

2. Install python dependencies:
   ```shell
   pip install -r requirements.txt
   ```
3. Install npm packages:
   1. Optional: use [nvm](https://github.com/nvm-sh/nvm) to manage node version:
      ```shell
      nvm install
      nvm use
      ```
   2. Install:
      ```shell
      npm install
      ```
4. Build:
   ```shell
   npm run build
   ```

### Component Code

### Publish

If publish on npm:
```shell
npm build
npm publish
```

### Justfile

Alternatively, use the provided [just](https://github.com/casey/just) commands:

1. Create a Python environment from previous step 1 and install:
   ```shell
   just install
   ```
2. Build
   ```shell
   just build
   ```
3. Publish
   ```shell
   just publish
   ```
4. See all commands with `just -l`