semvec/pypi-packages huggingface dataset:
calculadora-avan-ada 0.1.0
Biblioteca Em construção para diversas coisas como: uso melhor de variaveis, funçoes e outras coisas...
Requires Python: >=3.6

# Minha Biblioteca

Uma biblioteca simples para demonstrar funcionalidades em Python.

## InstalaÃ§Ã£o

VocÃª pode instalar a biblioteca usando o `pip`:

```bash
pip install minha_biblioteca
speedybotdev 0.2.8
A bot framework
Requires Python: >=3.11

## SpeedyBot dev

Use with goggles, highly unstable/experimental library

## Env

```sh
uv python install 3.11
uv venv sbdev --python 3.11
source sbdev/bin/activate
uv pip install -r pyproject.toml --all-extras
python --version # confirm a version match
```

## Publish

```sh

uv build
uv publish --token
uv pip install speedybot
uv pip install --no-cache-dir speedybotdev==0.1.2
```

## Punchlist

- [ ] sub-foldername

- [ ] pyproject.toml
ComplexNumberConverter 0.10
A package to convert complex numbers to integers and floats
Requires Python: >=3.6


# ComplexNumberConverter

`ComplexNumberConverter` is a Python package that allows users to convert the real and imaginary parts of complex numbers into integers or floating-point numbers. This package can be useful when handling complex numbers and you need to separate or manipulate their components in different formats.

## Features

- Convert the real and imaginary parts of a complex number into integers.
- Convert the real and imaginary parts of a complex number into floats.

## Installation

You can install the package directly from [PyPI](https://pypi.org/) using pip:

```bash
pip install my_complex_converter
```
## Usage

Once you’ve installed the package, you can start using it by importing the `Convert` class from the package.

### Example

Here is a simple example to demonstrate how to use the package:

```
from my_complex_converter import Convert

# Input a complex number
num = 3.5 + 4.8j

# Create an instance of the Convert class
converter = Convert(num)

# Convert the real and imaginary parts to integers
real_part_int, imag_part_int = converter.complex_to_int()
print(f"Real part (int): {real_part_int}")
print(f"Imaginary part (int): {imag_part_int}")

# Convert the real and imaginary parts to floats
real_part_float, imag_part_float = converter.complex_to_float()
print(f"Real part (float): {real_part_float}")
print(f"Imaginary part (float): {imag_part_float}")
```
### Output:

    Real part (int): 3
    Imaginary part (int): 4

    Real part (float): 3.5
    Imaginary part (float): 4.8


## Required Dependencies

This package has no additional dependencies beyond Python’s standard library. However, it works best with `Python 3.6 or higher`.
List of required Python packages:

    Python (>=3.6): The package is compatible with Python 3.6 and above.

## License

This package is licensed under the `MIT License`. See the LICENSE file for more information.

## Contact Information

If you have any issues or feedback, feel free to open an issue on the [GitHub](https://github.com/) repository.
Pallets-Sphinx-Themes 2.3.0
Sphinx themes for Pallets and related projects.
Requires Python: >=3.8

# Pallets Sphinx Themes

Themes for the Pallets projects. If you're writing an extension, use the
appropriate theme to make your documentation look consistent.

Available themes:

-   flask
-   jinja
-   werkzeug
-   click

Enable the extension and choose the theme in `docs/conf.py`:

```python
extensions = [
    "pallets_sphinx_themes",
    ...
]

html_theme = "flask"
```