semvec/pypi-packages huggingface dataset:
mypythproject 0.1.1
An extension of pybacktestchain that enhances portfolio optimization and backtesting with advanced features.
License: MIT
Requires Python: <4.0,>=3.11

# mypythproject

An extension of pybacktestchain that enhances portfolio optimization and backtesting with advanced features.

## Installation

```bash
$ pip install mypythproject
```

## Usage

- TODO

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`mypythproject` was created by Amine Lahlou. It is licensed under the terms of the MIT license.

## Credits

`mypythproject` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
groundx-python-sdk 1.3.30
Client for GroundX APIs
License: MIT
Requires Python: <4.0,>=3.7

# EyeLevel's GroundX APIs<a id="eyelevels-groundx-apis"></a>

**THIS REPOSITORY AND SDK ARE DEPRECATED**

## Please visit the [PYTHON](https://github.com/eyelevelai/groundx-python) repository for the supported version of this SDK.
manimforge 0.1.2
Rust parts of the Animation Library Manim
License: MIT
Requires Python: >=3.9

# Manim-Forge
Some parts of the python library [Manim](https://www.manim.community) need
to be executed fast. This library contains code
for these computations, but written in Rust
to improve speed.

## Usage
First, [install manim](https://docs.manim.community/en/stable/installation.html).
After that, it should just be
```
pip install manimforge
```
In the off-chance your operating system doesn't have prebuilt wheels,
you'll need to [install Rust](https://www.rust-lang.org/tools/install).

After that, it should be as simple as inserting the following before
rendering a scene:
```py
import manimforge as mf
mf.setup()
```

### Supported Versions
This library is only tested with the following:

- Windows (x86-64)
- macOS (x86-64)
- macOS (aarch64)
- Linux (x86-64 glibc)
- Linux (x86 glibc)

This library supports the versions of python that Manim
itself supports. However, there are some exceptions: namely
that free-threaded builds of python are not supported.

## Testing
1. Clone the repo
2. Create a virtual environment using something like [`uv`](https://docs.astral.sh/uv/) (`uv venv`)
3. Install dev dependencies (`uv sync`)
4. Build the library (`uv run maturin develop --uv`)
5. Run the example (`uv run manim -p examples/circle.py --disable_caching`)