semvec/pypi-packages huggingface dataset:
taskitor 0.1.0
A simple task tracker CLI using Python and Rich.
Requires Python: >=3.10

# Taskitor CLI – Task Tracker

## English

Taskitor is a simple command-line application for managing tasks. Each task is stored in `tasks.json` with one of three statuses: `to-do`, `in-progress` or `done`.

### Usage

Install Taskitor from PyPI and run it from anywhere:

```bash
pip install taskitor
taskitor <command> [arguments]
```

#### Commands
- `add "description"` – add a new task.
- `delete <id>` – remove a task by its ID.
- `update <id> "new description"` – modify the description of a task.
- `status <id> <status>` – change the task status to `to-do`, `in-progress`, or `done`.
- `list [status]` – list all tasks, optionally filtering by status.

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## Español

Taskitor es una aplicación de línea de comandos para gestionar tareas. Las tareas se guardan en `tasks.json` y pueden estar en los estados `to-do`, `in-progress` o `done`.

### Uso

Instala Taskitor desde PyPI y ejecútalo desde cualquier ruta:

```bash
pip install taskitor
taskitor <comando> [argumentos]
```

#### Comandos
- `add "descripcion"` – agrega una nueva tarea.
- `delete <id>` – elimina una tarea por su ID.
- `update <id> "nueva descripcion"` – modifica la descripción de una tarea.
- `status <id> <estado>` – cambia el estado de la tarea a `to-do`, `in-progress` o `done`.
- `list [estado]` – muestra todas las tareas, con la opción de filtrar por estado.

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Este proyecto nace de la inspiración obtenida en [roadmap.sh](https://roadmap.sh/projects/task-tracker), a quienes agradezco por sus valiosos contenidos.

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pyTCR 1.2.3
A model for tropical cyclone rainfall
Requires Python: >=3.11

# PyTCR: A tropical cyclone rainfall model for python

![](https://img.shields.io/github/license/levuvietphong/pyTCR)
![](https://img.shields.io/github/issues/levuvietphong/pyTCR)
![](https://img.shields.io/github/forks/levuvietphong/pyTCR)
![](https://img.shields.io/github/last-commit/levuvietphong/pyTCR)
![](https://img.shields.io/github/v/release/levuvietphong/pyTCR)
![](https://img.shields.io/github/actions/workflow/status/levuvietphong/pyTCR/CI.yml)

pyTCR is a physics-based model developed in python to estimate rainfall induced by tropical cyclones (TCs). It is largely based on the TCR model described by [Zhu *et al.*, 2013](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013GL058284) and [Lu *et al.*, 2018](https://journals.ametsoc.org/view/journals/atsc/75/7/jas-d-17-0264.1.xml). PyTCR simulates convective TC rainfall by correlating the precipitation rate with the total upward velocity within the TC vortex. It integrates seamlessly with outputs from [a tropical cyclone downscaling model](https://github.com/linjonathan/tropical_cyclone_risk) (see [Lin *et al.,* 2023](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023MS003686)) to generate detailed spatial-temporal rainfall patterns that align with hurricane tracks.

## Installation

`pyTCR` can be installed from `PyPI` using:

```sh
pip install pyTCR
```

## Sources
The source code is available on [GitHub](https://github.com/levuvietphong/pyTCR) under the [MIT Licence](https://github.com/levuvietphong/pyTCR/blob/main/LICENSE).