semvec/pypi-packages huggingface dataset:
sev-attest-tool 0.2.4
Rust implementation of SEV-SNP attestation verification
License: MIT
Requires Python: >=3.8
Keywords: sev-snp,sev,amd,attestation,cryptography

# sev-attest-tool

This library generates and verifies SEV-SNP attestation reports.

## Python

To build the Python package, run:

```
sudo docker run --env MATURIN_PYPI_TOKEN=$MATURIN_PYPI_TOKEN --rm -v $(pwd):/io --entrypoint "" -it ghcr.io/pyo3/maturin bash -c 'yum install -y openssl-devel && maturin publish --compatibility manylinux2014'
```
datascribe 1.0.0
Useful tools to help you document and describe data processing and modelling
License: MIT
Requires Python: >=3.9,<3.13

# datascribe: useful tools to help you document and describe data processing and modelling

datascribe has been developed to assist data scientists in documenting and describing data analysis, processing and modelling.

## Vision for datascribe

1. Assist users in documenting the dataset they are using.

2. Assist users in documenting the preprocessing and subsequent analysis they perform on datasets.

3. Provide summary text, images and tables in an editable format (markdown and Microsoft Word) tool.

4. Help users document research and analyses well so that it is transparent and repeatable.

## Features:

1. Creation of basic summary paragraphs with supporting markdown tables or table images to describe initial dataset information.

2. Implementation of key feature engineering tools from `sklearn` in tandem with producing a log of steps taken to process and analyse the dataset.

3. Ability to produce a workflow diagram via `graphviz` to help visualise the data processing and modelling workflow.

## How to explore datascribe



## Installing the virtual environment

Details of the conda virtual environment are available here: `binder/environment.yml`

Open the repo in a terminal (Mac/Linux) or anaconda prompt (Windows)

Navigate to the correct directory.

Create the environment with the following command:

```bash
conda env create -f binder/environment.yml
```
     
Activate the environment with the following command:

```bash
conda activate datascribe
```  

It is strongly recommended that you install a conda environment to avoid dependency conflicts. 

### Dependencies

This project relies on the following external dependencies:

- [Graphviz](https://graphviz.gitlab.io/download/): Used for creating visualizations in the workflow.

### Installing Dependencies

#### Graphviz

Make sure you have Graphviz installed on your system. You can download it from the [official Graphviz website](https://graphviz.gitlab.io/download/) or install it using your package manager:

##### Linux (e.g., Ubuntu)

```bash
sudo apt-get install graphviz
```
pycounts_mn24 0.1.0
Calculating word counts in a new text file.
License: MIT
Requires Python: >=3.9

# pycounts_mn24

Calculate word counts in a text file!

## Installation

```bash
$ pip install pycounts_mn24
```

## Usage

`pycounts_mn24` can be used to count words in a text file and plot results
as follows:

```python
from pycounts_mn24.pycounts_mn24 import count_words
from pycounts_mn24.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_mn24` was created by Tomas Beuzen. It is licensed under the terms
of the MIT license.

## Credits

`pycounts_mn24` was created with 
[`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and 
the `py-pkgs-cookiecutter` 
[template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
pycounts_zhy99 0.1.0
A package for counting words in a file.
License: MIT
Requires Python: >=3.9

# pycounts_zhy99

A package for counting words in a file.

## Installation

```bash
$ pip install pycounts_zhy99
```

## Usage

`pycounts_zhy99` can be used to count words in a text file and plot results
as follows:

```python
from pycounts_zhy99.pycounts_zhy99 import count_words
from pycounts_zhy99.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_zhy99` was created by Hongyang Zhang. It is licensed under the terms of the MIT license.

## Credits

`pycounts_zhy99` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).