semvec/pypi-packages huggingface dataset:
taksonomia 2023.6.18
Taxonomy (Finnish: taksonomia) of a folder tree, guided by conventions.
Requires Python: >=3.9
Keywords: developer-tools,fingerprints,validation,verification,sbom,taxonomy

# Taksonomia

Taxonomy (Finnish: taksonomia) of a folder tree, guided by conventions.

[License: MIT](https://git.sr.ht/~sthagen/taksonomia/tree/default/item/LICENSE)

Third party dependencies are documented in the folder [third-party](docs/third-party/README.md).

[![version](https://img.shields.io/pypi/v/taksonomia.svg?style=flat)](https://pypi.python.org/pypi/taksonomia/)
[![downloads](https://pepy.tech/badge/taksonomia/month)](https://pepy.tech/project/taksonomia)
[![wheel](https://img.shields.io/pypi/wheel/taksonomia.svg?style=flat)](https://pypi.python.org/pypi/taksonomia/)
[![supported-versions](https://img.shields.io/pypi/pyversions/taksonomia.svg?style=flat)](https://pypi.python.org/pypi/taksonomia/)
[![supported-implementations](https://img.shields.io/pypi/implementation/taksonomia.svg?style=flat)](https://pypi.python.org/pypi/taksonomia/)

## Documentation

User and developer [documentation of taksonomia](https://codes.dilettant.life/docs/taksonomia/).

## Bug Tracker

Any feature requests or bug reports shall go to the [todos of taksonomia](https://todo.sr.ht/~sthagen/taksonomia).

## Primary Source repository

The main source of `taksonomia` is on a mountain in central Switzerland.
We use distributed version control (git).
There is no central hub.
Every clone can become a new source for the benefit of all.
The preferred public clones of `taksonomia` are:

* [on codeberg](https://codeberg.org/sthagen/taksonomia) - a democratic community-driven, non-profit software development platform operated by Codeberg e.V.
* [at sourcehut](https://git.sr.ht/~sthagen/taksonomia) - a collection of tools useful for software development.

## Contributions

Please do not submit "pull requests" (I found no way to disable that "feature" on GitHub).
If you like to share small changes under the repositories license please kindly do so by sending a patchset.
You can either send such a patchset per email using [git send-email](https://git-send-email.io) or 
if you are a sourcehut user by selecting "Prepare a patchset" on the summary page of your fork at [sourcehut](https://git.sr.ht/).

## Status

Experimental.

**Note**: The default branch is `default`.
ProTaska-GPT 0.0.12
Unleash the Potential of Datasets with Intelligent Tasks, Tutorials, and Algorithm Recommendations.

# 🧑‍🎓 ProTaska-GPT

**Your AI-powered data companion 🤖**


Specify your dataset of choice, and ProTaska-GPT generates a tailored codebase, empowering you to visualize and understand the dataset with tasks, tutorials, and actionable insights. Accelerate your data science journey with ease and efficiency!

## 🖊️ Key Features:

1. **Dataset Ingestion:** ProTaska-GPT seamlessly integrates with dataset sources like Kaggle and Hugging Face (_for now_), allowing users to easily import and work with diverse datasets.
2. **Task Recommendations:** Leveraging its GPT-backbone, it generates a customized set of tasks tailored to each dataset, providing users with valuable project ideas and challenges.
3. **Algorithm Suggestions:** Based on the dataset characteristics, it suggests suitable machine learning algorithms, enabling users to make informed decisions during their project journey.
4. **Conversational Chatbot:** Allow user to discuss about different techniques and scrape information from Wikipedia to give relevant responses.

## 🔎 Objectives:
1. **Beginner-Friendly Tutorials**: ProTaska-GPT aims to offer automated generation of a collection of beginner-friendly tutorials that guide users through common data science workflows, step-by-step, fostering practical learning and skill development.

## 📈 Installation:

`pip install ProTaska-GPT --upgrade`

## 🚀 Usage:

Importing base descriptors and ideation bot:
```
from protaska.describer import describe_dataset
from protaska.ideate import main as chatbot
```

Providing meta-data about the dataset to be used:
```
openai_key = '**open-ai-secret-key**'
importer_type = "HuggingFaceDatasetImporter"
dataset_key = 'mteb/tweet_sentiment_extraction'
destination_path = './downloaded_data/'
```

Getting automated data descriptions:
```
description, dataloader_obj = describe_dataset(openai_key, importer_type, destination_path, dataset_key)
description
```

Running an interactive ChatBot for ideation and base-code building:
```
chatbot(openai_key, description, dataloader_obj.superficial_meta_data, agent_verbose=False)
```

## 💁 Contributing

This is an open-source project and we would be really grateful to any contributions.
random-otp 1.0.0
A Python package for generating random OTPs

# Random OTP Generator

The `random-otp` package is a Python library for generating random OTPs of various types. It can generate numeric, alphabetic, or alphanumeric OTPs of a specified length.

## Installation

You can install `random-otp` using `pip`:

sh
pip install random-otp
## Usage

To use `random-otp`, you can import the `generate_numeric_otp`, `generate_alphabetic_otp`, and `generate_alphanumeric_otp` functions from the `random_otp.generator` module:

python
from random_otp.generator import generate_numeric_otp, generate_alphabetic_otp, generate_alphanumeric_otp

numeric_otp = generate_numeric_otp(6) # generates a 6-digit numeric OTP
alphabetic_otp = generate_alphabetic_otp(8) # generates an 8-character alphabetic OTP
alphanumeric_otp = generate_alphanumeric_otp(10) # generates a 10-character alphanumeric OTP
Alternatively, you can use the command line interface provided by the `random-otp-generator` script. To generate an OTP, run:

sh
random-otp-generator
You will be prompted to enter the length and type of OTP you want to generate.

## License

This package is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
gex-cli 1.0.4
Command-line project generator using git repo.
Requires Python: >=3.7
Keywords: cli,command-line,console,generator,project managment

# gex-cli

Generate projects using built-in or custom templates via command-line.

[![PyPI - Version](https://img.shields.io/pypi/v/gex-cli.svg)](https://pypi.org/project/gex-cli)
[![PyPI - Downloads](https://img.shields.io/pypi/dm/gex-cli)](https://pypi.org/project/gex-cli)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/gex-cli.svg)](https://pypi.org/project/gex-cli)


## Installation

```bash
 pip install gex-cli
```

## Usage

```bash
  gex g web -n MyWebsite
```

## Support

For support, email <a href="mailto://woidzeroo@gmail.com">woidzeroo@gmail.com</a>

## License

`gex-cli` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.