semvec/pypi-packages huggingface dataset:
code-to-gpt 0.6
A simple tool to concatenate code files for ChatGPT prompts
Requires Python: >=3.6

# CodeToGPT

Welcome to **CodeToGPT**, a powerful tool designed to simplify the process of preparing codebases for interactions with AI models like ChatGPT. By concatenating multiple code files into well-organized documents, this application enhances the ease and efficiency of providing complex code contexts to AI, facilitating more accurate and context-aware responses.

## Features

- **Multi-Language Support**: Handles both Python (`*.py`) and Java (`*.java`), creating separate output files for each language to ensure clarity and organization.
- **Automated Concatenation**: Automatically combines all code files from a specified directory into concise, single documents—ideal for large projects.
- **Ease of Use**: Offers a simple command-line interface that allows for straightforward operations without the need for complex GUIs.

## Getting Started

### Prerequisites

Before you start using **CodeToGPT**, make sure you have Python 3.6 or higher installed on your machine.

### Installation

To install **CodeToGPT**, follow these steps:

```bash
pip install code-to-gpt
```


## Usage

To run **CodeToGPT**, navigate to your project directory and execute:

```bash
codetogpt '/path/to/source/folder'
```

## Usage

This command will generate:
- `combined_python_code.txt` for Python files.
- `combined_java_code.txt` for Java files.

These files will be created in the specified source folder, containing all the code from files of the respective languages found within that directory and its subdirectories.

## Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

## License

This project is licensed under the MIT License - see the `LICENSE` file for details.

## Contact

Sameel Shahid - [@sameelshahid](https://www.linkedin.com/in/sameel-shahid/)

Abdul Jaleel Khan- [@ajk](https://www.linkedin.com/in/abdul-jaleel-khan/)

Project Link: [https://github.com/sameelshahid/codetogpt](https://github.com/sameelshahid/codetogpt)
pybalebot 0.0.4
Modern and fully asynchronous framework for Bale Bot API
Requires Python: ~=3.7
Keywords: pybalebot, bale, chat, bot, robot, asyncio

<p align="center">
    <a href="github.address">
        <img src="https://dev.bale.ai/_next/image?url=%2F_next%2Fstatic%2Fmedia%2Farea7.e362c612.png&w=1080&q=75" alt="pybalebot" width="128">
    </a>
    <br>
    <b>Bale API Framework for Python</b>
    <br>
    <a href="https://github.com/shayanheidari01/pybalebot">
        Homepage
    </a>
    •
    <a href="https://docs.pybalebot.site/">
        Documentation
    </a>
    •
    <a href="https://pypi.org/project/pybalebot/#history">
        Releases
    </a>
    •
    <a href="https://t.me/rubika_library">
        News
    </a>
</p>

## PyBaleBot

> Modern and fully asynchronous framework for Bale Bot API

### Using Async
```python
from pybalebot import Client, filters
from pybalebot.types import Message

bot_token = "123456789:**********************"

app = Client("my_bot", bot_token=bot_token)

@app.on_message(filters.text)
async def hello(client, message: Message):
    await message.reply("Hello from PyBaleBot!")

app.run()
```


**PyBaleBot** is a modern, elegant and asynchronous framework. It enables you to easily interact with the main Bale API through a user account (custom client) or a bot
identity (bot API alternative) using Python.


### Key Features

- **Ready**: Install PyBaleBot with pip and start building your applications right away.
- **Easy**: Makes the Bale API simple and intuitive, while still allowing advanced usages.
- **Elegant**: Low-level details are abstracted and re-presented in a more convenient way.
- **Fast**: Boosted up by aiohttp, a high-performance http library written in C.
- **Async**: Fully asynchronous (also usable synchronously if wanted, for convenience).
- **Powerful**: Full access to Bale's API to execute any official client action and more.

### Installing

``` bash
pip3 install -U pybalebot
```
snompy 0.1.9
A Python package for modelling scanning near-field optical microscopy measurements.
Requires Python: >=3.10

.. image:: docs/_static/snompy_logo.svg
   :width: 600
   :alt: snompy logo

|pypi| |conda-forge| |doi|

.. |pypi| image:: https://img.shields.io/pypi/v/snompy
   :alt: PyPI - Version
.. |conda-forge| image:: https://img.shields.io/conda/v/conda-forge/snompy?label=conda-forge
   :alt: Conda Version
.. |doi| image:: https://img.shields.io/badge/DOI-10%2E48550%2FarXiv%2E2405%2E20948-blue
   :target: https://doi.org/10.48550/arXiv.2405.20948
   :alt: DOI link


A Python package for modelling scanning near-field optical microscopy measurements.

Overview
--------
The main purpose of ``snompy`` is to provide functions to calculate the effective polarizability, of a SNOM tip and a sample, which can be used to predict contrast in SNOM measurements.
It also contains other useful features for SNOM modelling, such as an implementation of the transfer matrix method for calculating far-field reflection coefficients of multilayer samples, and code for simulating lock-in amplifier demodulation of arbitrary functions.

For more details, including tutorials and example scripts, see the `snompy documentation <https://snompy.readthedocs.io/>`_.

Installation
------------

Using ``pip``::

   pip install snompy

Using ``conda``::

   conda install -c conda-forge snompy


Cite us
-------
This package is open source and free to use.
We only ask that you cite our paper, to acknowledge the time and effort that went into developing ``snompy``.
Please see the section `Cite us <https://snompy.readthedocs.io/en/latest/index.html#cite>`_ from the snompy documentation for details on how.