semvec/pypi-packages huggingface dataset:
dffml 0.4.0.post2
Data Flow Facilitator for Machine Learning
License: MIT

![Logo](https://raw.githubusercontent.com/intel/dffml/master/docs/images/logo-lightmode.svg)

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## Mission Statement

DFFML aims to be the easiest and most convenient way to use Machine Learning.

- Its a machine learning distribution. Providing you access to a set of popular
  machine learning libraries guaranteed to work together.

- Its a AI/ML Python library, command line application, and HTTP service.

- You give it your data and tell it what kind of model you want to train. It
  creates a model for you.

- If you want finer grained control over the model, you can easily do so by
  implementing your own model plugin.

- We make it easy to use and deploy your models.

- We provide a directed graph concurrent execution environment with managed
  locking which we call DataFlows.

- DataFlows make it easy to generate datasets or modify existing datasets for
  rapid iteration on feature engineering.

## Documentation

Documentation for the latest release is hosted at https://intel.github.io/dffml/

Documentation for the master branch is hosted at
https://intel.github.io/dffml/master/index.html

## Contributing

The [contributing page](https://intel.github.io/dffml/master/contributing/index.html)
will guide you through getting setup and contributing to DFFML.

## Help

- Ask a question via an [issue](https://github.com/intel/dffml/issues/new?assignees=&labels=question&template=question.md&title=question%3A+)
- Send an email to dffml-users@lists.01.org
  - You can subscribe to the users mailing list here
    https://lists.01.org/postorius/lists/dffml-users.lists.01.org/
- Ask a question on the [Gitter chat](https://gitter.im/dffml/community)

## License

DFFML is distributed under the [MIT License](LICENSE).

## Legal

> This software is subject to the U.S. Export Administration Regulations and
> other U.S. law, and may not be exported or re-exported to certain countries
> (Cuba, Iran, Crimea Region of Ukraine, North Korea, Sudan, and Syria) or to
> persons or entities prohibited from receiving U.S. exports (including
> Denied Parties, Specially Designated Nationals, and entities on the Bureau
> of Export Administration Entity List or involved with missile technology or
> nuclear, chemical or biological weapons).
pycounts-jl 0.4.0
Calculate word counts in a text file!
License: MIT
Requires Python: >=3.9

# pycounts_jl

Calculate word counts in a text file!

## Installation

```bash
$ pip install pycounts_jl
```

## Usage

`pycounts_jl` can be used to count words in a text file and plot results
as follows:

```python
from pycounts_jl.pycounts_jl import count_words
from pycounts_jl.plotting import plot_words
import matplotlib.pyplot as plt

file_path = "test.txt"  # path to your file
counts = count_words(file_path)
fig = plot_words(counts, n=10)
plt.show()
```

## 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

`pycounts_jl` was created by Tomas Beuzen. It is licensed under the terms of the MIT license.

## Credits

`pycounts_jl` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
gatorconfig 1.0.0
Autogeneration of GatorGradle configuration files.
License: MIT
Requires Python: >=3.7,<4.0

# GatorConfig

![logo](https://user-images.githubusercontent.com/42869122/152203388-39f5f0ef-e4c7-4f80-b667-07a4ed739b4d.png)

A simple Python tool utilizing both a CLI and GUI approach
to automate the generation of configuration files for
[GatorGrader](https://github.com/GatorEducator/gatorgrader).
This tool is designed to assist educators in grading
GitHub-based assignments for their computer science courses.

## Requirements

- [Python](https://realpython.com/installing-python/)
- [Pipx](https://pypa.github.io/pipx/installation/)
- [Poetry](https://python-poetry.org/docs/#installing-with-pipx)

## Usage

### Install with pip or pipx

To install the tool and its dependencies using pip, run the following command:

```bash
pip install gatorconfig
```

Alternatively, you can install using pipx by running:

```bash
pipx install gatorconfig
```

### Running GatorConfig

GatorConfig is a tool that can utilize the command line interface, which
was built to accommodate the users. To run the GatorConfig program
in CLI, type the command:

`gatorconfig`

Once you run this command, the program will output:

`Wrote file to: C:\Users\<YOUR PATH>\config\gatorgrader.yml`

This command will auto-generate a default configuration file for GatorGradle
named `gatorgrader.yml` located in the `config` folder.

Additionally, you can run the `gatorconfig --help` for more
information about the configuration. This command will list the variables
in the file as well as the defaults it outputs.

## Contributing

### Technical details

The GitHub Actions
workflow executes [pytest](https://pytest.org/) (with
[coverage](https://pypi.org/project/pytest-cov/)) and
[pylint](https://pylint.org/) using the Poetry configuration, and checks
markdown with [markdownlint](https://github.com/DavidAnson/markdownlint) and
spelling with [cspell](https://cspell.org/).

### Installing Python dependencies

After cloning this project, you will likely want to instruct Poetry to create a
virtual environment and install the Python packages (such as pytest and pylint)
listed in `pyproject.toml`.

To install Python dependencies:

```bash
poetry install -E gui
```

To install without the extra GUI feature, install with:

```bash
poetry install
```

### Running tasks

This project uses the [taskipy](https://github.com/illBeRoy/taskipy) task runner
to simplify testing and linting. You can see the actual commands run when tasks
are executed under the `[tool.taskipy.tasks]` header in `pyproject.toml`.

- **Test** your code with `poetry run task test`
- **Lint** your code with `poetry run task lint`

## Authors

- Wesley Long, @WesleyL30 - *Lead CLI developer*
- Danny Ullrich, @ullrichd21 - *Lead GUI developer*
- Kobe Coleman, @ColemanKobe
- Paige Downey, @PaigeCD
- Favour Ojo, @favourojo