semvec/pypi-packages huggingface dataset:
navigate-at-scale 0.0.0
A navigate plugin for high-throughput imaging with robotics.
Requires Python: >=3.9.7

<h1 align="center">
<img src="https://github.com/TheDeanLab/navigate-plugin-template/blob/main/plugin-icon.jpg" width="200" height="200"/>

navigate-at-scale
	
<h2 align="center">
	A plugin for high-throughput microscopy. 
</h2>
</h1>

**navigate-at-scale** is a plugin for **navigate**, which aims to enable high-throughput
microscopy. It is designed to work with a Mecademic Meca500 robotic arm and a Thorlabs
HDR50 rotation stage. The plugin provides a user-friendly interface for setting up and 
running high-throughput imaging experiments.

**Authors**
- Sai Bommisetty
- Joy Camposagrado
- James Harrigan
- Rayyan Sappayani
- Abhijeet Kulkarni
- Besher Nusair
Antiland 0.99.2
A package to create bots on Antiland.com
Requires Python: >=3.7

# Antiland.py
## Make Antiland Chaotic Again


Antiland.py is a python package to turn any antiland user into a fully functioning
bot account similar to discord.py

![GitHub](https://img.shields.io/github/license/TheUnsocialEngineer/Anti.py) 
![PyPI - Version](https://img.shields.io/pypi/v/Antiland?labelColor=black&color=blue&link=https%3A%2F%2Fpypi.org%2Fproject%2FAntiland.py%2F)
![PyPI - Downloads](https://img.shields.io/pypi/dw/Antiland)



For more examples and documentation read the [Docs](https://antiland.readthedocs.io/en/latest/)


## Features

- Log in to an account
- send messages/images/videos 
- change profile settings
- Automate tedious tasks e.g banning/blocking
- It's python so go nuts



## Installation

Antiland requires Python3 to run.

to install run pip3 install Antiland

## Usage/Examples

Before you start you need to get the session token which will allow you to log into the account and the dialogue id of the chat you want to listen for commands in

To get the token and you use developer consoles network tab to look at any outgoing connection such as a sending a message, the session token is stored in the json payload e.g 

![App Screenshot](https://i.imgur.com/ZkVi80e.png)


Below is an example of a bot that prints every message it receives

```python
import Antiland
session_token = ""
dialogue = ""
prefix = "!"

bot = Antiland.Bot(prefix, dialogue, session_token)

@bot.event
async def on_message(message):
    # Implement your event handling logic here
    print(f"Received message from {message.sender_name}: {message.text}")

bot.start(session_token)
```


Below is a very basic example for logging in and registering a hello command
which when ran will send hello world into the chat and register a debug command
which will send a message to the channel of your choice

```python
from Antiland.ext import commands

session_token = ""
dialogue = ""
prefix = "!"

bot = commands.Bot(prefix, dialogue, session_token)

@bot.command
async def say_hello():
    room = await bot.get_dialogue(dialogue, session_token)
    await room.send_message("hello world", session_token, dialogue)

@bot.command
async def debug():
    room =await bot.get_dialogue("enter dialogue id here", session_token)
    await room.send_message("BOT IS WORKING", session_token, dialogue)


bot.start(session_token)
````

# DISCLAIMER / TOS

## THIS SOFTWARE WAS DESIGNED FOR EDUCATIONAL AND FUN PURPOSES I DO NOT ENCOURAGE OR CONDONE THE USE OF THIS SOFTWARE FOR ANY MALICIOUS ACTIONS INCLUDING BUT NOT LIMITED TO: SCAMMING, SPAMMING, HARASSING OR ILLEGALLY ACCESSING ANY FORM OF DATA
DataPromptAI 0.1.0
A Python package to generate and execute code snippets based on user prompts.
Requires Python: >=3.6

# DataPromptAI
DataPromptAI is a Python package designed to streamline data analysis using the power of AI. With DataPromptAI, you can easily load multiple datasets from a local path or URL and interact with them using natural language prompts. The package leverages the OpenAI API to generate Python code snippets based on your input, enabling you to perform complex data operations with minimal effort.

## Key Features
Seamless Data Loading: Load datasets from various sources, whether local files or URLs, and handle large data using chunking.
Natural Language Processing: Describe your data operations in natural language, and DataPromptAI will generate the necessary Python code.
Interactive Execution: Review the generated code and choose whether to execute it directly within your environment.
AI-Powered: Built on top of OpenAI's language models, DataPromptAI brings the power of LLMs to your data analysis workflow.
DataFrame Support: Tailored for operations on pandas DataFrames, making it ideal for data science tasks.

## Data Privacy
DataPromptAI is designed with user privacy in mind. The package ensures that your data remains local and is never uploaded to ChatGPT's servers. All operations, including data processing and prompt-based code generation, are performed on your local machine. This approach safeguards your sensitive information and complies with data privacy regulations, making DataPromptAI a secure choice for working with your data.



## Installation

To install the package, clone the repository and use pip:

```bash
git clone https://github.com/Xuzhangjin/DataPromptAI.git
cd DataPromptAI
pip install .