semvec/pypi-packages huggingface dataset:
traductorsqb 0.0.5
Traductor de palabras
License: MIT
Requires Python: >=3.8,<4.0
Keywords: traductor

# Traductor

Programa para traducir palabras de Ingles a Español.

## Instalación

Desde testpypi
~~~
pip install ..... 
~~~


Desde pypi
~~~
pip install traductorsqb
~~~

## Forma de uso

~~~
traductorsqb "hello"
hello -> hola
~~~
sus-amogus 0.1.1
sus
License: MIT

# Amogus
idk what is this... sus

## Installation

`pip install sus-amogus`

## Example

### Amogusify

Amogusify your text (???)

```py
import amogus

text = "This is epic"
result = amogus.amogusify(text)
# result = amogus.amogusify(text, emoji = True) # with emoji

print(result)
```
orglearn 1.1.5
Tool to learn from your org-mode notes
License: MIT

[![GitHub](https://img.shields.io/github/license/MatejKastak/orglearn?style=flat-square)](https://github.com/MatejKastak/orglearn/blob/master/LICENSE)

# Orglearn

Orglearn provides toolbox for learning from your org-mode notes. It can generate mind
maps, anki decks and even pdfs textbooks.

## Modes [commands]

### Anki

Convert notes to anki deck. The converter will take all leafs of the tree (nodes
without children) and convert them into anki cards. The node title is
front-side of the card and the body is the back-side of the card.

### Mind map

Convert notes into a [mid map](https://en.wikipedia.org/wiki/Mind_map). This is a
good way to visualize the relationships between each node.

### PDF

Orglearn is able to create pdf from your notes. You can achieve similar results
converting org files to pdf using emacs. But we think that using `pandoc`
results in better looking PDFs and gives us the best way to customize the result.

To be able to convert org files to pdf you need to have `pandoc` along with `pdflatex` installed on
your system.

## Installation

The latest stable release of `orglearn` can be obtained via `pypi`:
```sh
pip install orglearn
```

If you wish to install the latest `master` branch:

```sh
git clone https://github.com/MatejKastak/orglearn && cd orglearn
python -m venv env && . env/bin/activate # In case you want to install in virtualenv.
pip install .
```

## Usage

Below are some basic examples for running orglearn:

```sh
orglearn anki file1.org # Convert org file into anki deck ./file1.apkg
orglearn anki file1.org file2.org # Convert multiple files into single deck
```

## Contributing

Contributions are highly appreciated. If you choose to contribute please read the Contribution Guidelines (TBD).

We are using the [black](https://github.com/psf/black) for the source code
formatting. To use it automatically prepare pre-commit hooks with the following
command.

```sh
pre-commit install # Install the pre-commit hooks
```

### Tests

Use the following command to run tests:

```bash
make test
```