semvec/pypi-packages huggingface dataset:
hypergol 0.2.1
An opinionated multithreaded Data Science framework
Requires Python: >=3.8

# Hypergol

Hypergol is a Data Science productivity toolkit to accelerate small team projects into production at the shortest possible time while still maintaining high standard of code. This is achieved by autogenerating structure and code in a form that is easy to extend, so only the project-specific code needs to be written.

Hypergol provides parallel execution capabilities with little restrictions. This enables a small team to accelerate time-consuming tasks by renting larger instances from a cloud provider, but with no additional infrastructure, reducing the time and cost of setting up.

The toolkit provides a standard serialisation (autogenerated) and storage system that natively enables parallel processing. The resulting data is also easily accessible from any python code, including jupyter notebooks.

Every Hypergol Project is connected to a git repo that acts as a version controller. Both code and generated data are linked to git branches and commits. Full data lineage can be retrieved, and the storage system is verifiable through SHA1 hashes.

Tensorflow model stubs can be generated that enables standardised model development and training that both connect to the storage system above, observe [SOLID](https://en.wikipedia.org/wiki/SOLID) principles and enable autogenerated deployment with [FastAPI](https://fastapi.tiangolo.com/).

See documentation for further details at: [https://hypergol.readthedocs.io/en/latest/](https://hypergol.readthedocs.io/en/latest/)

Join our community at our [Discord](https://hypergol.ml/discord) server.

## Quick Start

Install it with:

``` 
pip install hypergol
```

Create your first projects:

```
python3 -m hypergol.cli.create_project MyFirstProject
cd my_first_project
```

And follow instructions in the projects `README.md` or the tutorial at: [https://hypergol.readthedocs.io/en/latest/tutorial.html](https://hypergol.readthedocs.io/en/latest/tutorial.html)

## Good Luck using Hypergol!

The authors wish that Hypergol frees you from tedious tasks so you can focus more on the core part of Machine Learning and generate everything else.

Join our community at our [Discord](https://hypergol.ml/discord) server.

All feedback is welcome at: [hypergol.developer@gmail.com](mailto:hypergol.developer@gmail.com?subject=Hypergol%20Feedback)
swarajdolhare 2.0.0
A sample Python project
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

# A sample Python project

![Python Logo](https://www.python.org/static/community_logos/python-logo.png "Sample inline image")

A sample project that exists as an aid to the [Python Packaging User
Guide][packaging guide]'s [Tutorial on Packaging and Distributing
Projects][distribution tutorial].

This project does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.

[The source for this project is available here][src].

Most of the configuration for a Python project is done in the `setup.py` file,
an example of which is included in this project. You should edit this file
accordingly to adapt this sample project to your needs.

----

This is the README file for the project.

The file should use UTF-8 encoding and can be written using
[reStructuredText][rst] or [markdown][md use] with the appropriate [key set][md
use]. It will be used to generate the project webpage on PyPI and will be
displayed as the project homepage on common code-hosting services, and should be
written for that purpose.

Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not a
good idea, although a simple “What's New” section for the most recent version
may be appropriate.

[packaging guide]: https://packaging.python.org
[distribution tutorial]: https://packaging.python.org/tutorials/packaging-projects/
[src]: https://github.com/pypa/sampleproject
[rst]: http://docutils.sourceforge.net/rst.html
[md]: https://tools.ietf.org/html/rfc7764#section-3.5 "CommonMark variant"
[md use]: https://packaging.python.org/specifications/core-metadata/#description-content-type-optional