semvec/pypi-packages huggingface dataset:
boto3-pydantic-directconnect 1.0.2
Pydantic models for AWS Directconnect
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, directconnect

# boto3-pydantic-directconnect

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Directconnect.
boto3-pydantic-devops-guru 1.0.2
Pydantic models for AWS Devops_guru
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, devops_guru

# boto3-pydantic-devops_guru

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Devops_guru.
celao 0.3.2
Visualization tool for correlation n-ptychs of linguistic attributes
Requires Python: >=3.12

# CELAO

CELAO is a program for visualizing Correlation N-ptychs of Linguistic Attributes.

## 🔧 Installation

1) Use the package manager [pip](https://pip.pypa.io/en/stable/) to install CELAO.

```bash
  pip install celao
```
2) Create the folder called "data" in the root of your program.
```bash
  mkdir data
```
3) Place a dataset file inside the created folder

## 🚀 Usage

```python
from celao import run_cela

if __name__ == "__main__":
    run_cela()
```

### Run your script, and CELAO will:

* Automatically load the dataset from the data/ directory

* Detect attribute relationships

* Visualize the correlation n-ptychs

## 📂 Notes

* The dataset should be in a tabular format, such as .csv
boto3-pydantic-devicefarm 1.0.2
Pydantic models for AWS Devicefarm
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, devicefarm

# boto3-pydantic-devicefarm

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Devicefarm.
boto3-pydantic-detective 1.0.2
Pydantic models for AWS Detective
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, detective

# boto3-pydantic-detective

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Detective.
boto3-pydantic-deadline 1.0.2
Pydantic models for AWS Deadline
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, deadline

# boto3-pydantic-deadline

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Deadline.
boto3-pydantic-dax 1.0.2
Pydantic models for AWS Dax
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, dax

# boto3-pydantic-dax

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Dax.