semvec/pypi-packages huggingface dataset:
wweb3 1.0.0
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webt3 1.0.0
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w3eb 1.0.0
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3web 1.0.0
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w3b 1.0.0
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wb3 1.0.0
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web3e 1.0.0
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wev3 1.0.0
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we3b 1.0.0
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pthon 1.0.0
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pytonn 1.0.0
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pytoh 1.0.0
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pythun 1.0.0
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pytiom 1.0.0
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pytiob 1.0.0
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pytojn 1.0.0
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pyhthon 1.0.0
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pythkn 1.0.0
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pythom 1.0.0
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pythob 1.0.0
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pytnon 1.0.0
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pytuon 1.0.0
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pytbon 1.0.0
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pytohn 1.0.0
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pytyon 1.0.0
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pytgon 1.0.0
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pytjon 1.0.0
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pythn 1.0.0
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pyhton 1.0.0
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bussardweg4av3 1.0.0
aGMgOmyxfByWTzSQJE OlBkIGCqqCbT gfpIqmC

bYwGLJSkXdOeoFgWtxeksmjTcAc eyVwDSsiKrYqHnJvXEXn D YOJYlbPEDcNWTDslhXZdPRGAHnJCrLCKB FoEJcVHHmUIBQtLFuhNjj VmTMatntiivUlEfpvRTHlVgaPIAlYHfQddOrUlkAFhysdnmYVFN nEMGOzezLNfqgCWdiffEwXYRkYEALWnnmilTrCFoRHTgaD YASIoCuNTzcwNTVlwdLXVWSSkPknJybkDryaVfEBbM hIboTOADcZpBeVKDAZUhPaeSdjeeON YvstVvKXuqsDYBzAOBpVFokABUFVPBrCZmrcGTLlJnWohOUfVUkiSvARYeoYQJfVYICcOhn iavZdVziHzq RXaerzkRoEqy WvsdM DCXXCFkIkCNsAJfomt cuCyCQVzCbAHnBwbtRxuKzoinXqMKD XXlHCnoFfbjNCy
bussardweg4av2 1.0.0
NWroNhdwmoXNMQoiywWeVXdsjqVKksLMVCKmRzAwdiQLDQuVlyqcUrBRgSImRwBowaexHyRUyNLFc UOWOyQXyWfyuEpMm

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bussardweg4a 1.0.0
swIwamJXVGqTEIsLyXiDtvTzfDyxXS

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qlan-common-libs 0.1.20
A collection of common functions for various tasks.
Requires Python: >=3.11

# QLAN Common Libraries

QLAN Common Libraries (`qlan_common_libs`) is a collection of utility functions and modules designed to simplify various tasks in Python projects. This package provides a set of reusable functions to streamline development and improve code maintainability.

## Table of Contents

- [QLAN Common Libraries](#qlan-common-libraries)
  - [Table of Contents](#table-of-contents)
  - [Overview](#overview)
  - [Installation](#installation)
  - [Usage](#usage)
    - [Example Usage](#example-usage)
  - [Modules](#modules)
  - [Contributing](#contributing)
  - [License](#license)

## Overview

The `qlan_common_libs` package includes a variety of utility functions that can be used in different parts of your application. The library is designed to be lightweight, easy to use, and modular.

## Installation

You can install the `qlan_common_libs` package via pip. Run the following command to install the latest version:
1, run `source build.sh`
2, run `pip install build_output/qlan_common_libs-*.*.*-py3-none-any`
sghsuzeghuisehguihdrhffdhfdh 1.0.0
HWKLkzjJxxQzItCud vaGlNLojTxiiOdVLqQEAqxSwICBXORDldzB yK

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hamsterpy 0.0.3
HamsterPy is created for auto-farming coins in Hamster Kombat (Telegram game)
Requires Python: >=3.6
Keywords: Hamster, HamsterKombat, Hamster Kombat, api.hamsterkombat.io

# HamsterPy

**HamsterPy** is created for auto-farming coins in **Hamster Kombat** (Telegram game)

# Instruction
## Add your user data

1.  Login to Telegram Web from your browser on PC
2.  Launch Hamster (you will receive an error asking you to log in from your phone)
3. Open **Inspect Element** -> go to the **Application** tab -> open **session storage** -> open sessions "https://hamsterkombat.io" -> click on the element **"__telegram__initParams"** -> copy the value **"tgWebAppData"**
> the result looks like **"user=%7B%22id%22%3A17599916624%2C%22first_name%22%3A%22KIRBY%22%2C%22last_name%22%3A%22%22%2C%22username%22%3A%22KIRBYYY% 22%2C%22language_code%22%3A%22en%22%2C%22allows_write_to_pm%22%3Atrue%7D&chat_instance=906196156151&chat_type=private&start_param=kentId99999999999&auth_date=1665666&hash=3b6c05a 3733d4cdd0ece767477848e90d176141d5916f12ba0e8a65e07b8"**

4. copy the result and paste it into the **user.txt** file

## Start coding

> pip install hamsterpy
```python
from hamsterpy import HamsterClient
client = HamsterClient()
client.auth()
client.autofarm(taps=True, print_info=True)
```

# TODO
Soon it is planned to add auto-pumping of items
sqlagent 1.0.8
SQL agent, query your database
Requires Python: <3.13,>=3.10

# SQL Agent Library

## Overview

The SQL Agent Library allows users to interact with SQL databases using natural human language. With this library, users can simply describe what data they want to retrieve or manipulate, and the library will convert these descriptions into precise SQL queries and execute them. This simplifies database interactions for those who may not be familiar with SQL syntax but need to access and manage data.

## Features

- **Natural Language Processing**: Convert human language queries into SQL statements.
- **Database Agnostic**: Works with various SQL databases (MySQL, PostgreSQL, SQLite, etc.).
- **Ease of Use**: Simple input-output mechanism to facilitate quick querying.
- **Flexibility**: Handles a variety of query types including SELECT, INSERT, UPDATE, and DELETE.

## Installation

To install the SQL Agent Library, use pip:

```bash
pip install sqlagent
```

## Usage

Here's a quick example to get you started:

### Step 1: Initiate instance

```python
# Create an instance of the SQLAgent
from sqlagent.agent import SQLAgent
agent = SQLAgent(db_connection_string="your_database_connection_string")
```

### Step 2: Query the Database

```python
await agent.arun("how many tables are there in my db ?")
```

## Configuration

You can configure the SQL Agent Library to connect to your specific database by providing the appropriate connection string during initialization.
it's utilizing sqlachemy under the hood

## Supported Databases

- MySQL
- PostgreSQL
- SQLite

## Contributing

Contributions are welcome! Please read the [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on how to contribute to this project.

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

## Acknowledgements

We'd like to thank all contributors and supporters of this project. Your efforts help make database interactions simpler for everyone.

## Contact

For any questions or issues, please open an issue on GitHub or contact us at vikyw89@gmail.com.
SQLibEngine 0.2.3
A simple SQLite3 wrapper for Python
Requires Python: >=3.6

# SQLib

SQLib is a python library to use SQL Databases without having to write SQL, based on SQLite.

[![Publish Python distributions to PyPI and TestPyPI](https://github.com/TRC-Loop/SQLib/actions/workflows/pypi-publish.yml/badge.svg)](https://github.com/TRC-Loop/SQLib/actions/workflows/pypi-publish.yml)
[![CodeQL](https://github.com/TRC-Loop/SQLib/actions/workflows/github-code-scanning/codeql/badge.svg)](https://github.com/TRC-Loop/SQLib/actions/workflows/github-code-scanning/codeql)
![GitHub Release](https://img.shields.io/github/v/release/TRC-Loop/SQLib)
![PyPI - Version](https://img.shields.io/pypi/v/SQLibEngine)
![GitHub forks](https://img.shields.io/github/forks/TRC-Loop/SQLib?style=flat)
![GitHub Repo stars](https://img.shields.io/github/stars/TRC-Loop/SQLib?style=flat)
![GitHub License](https://img.shields.io/github/license/TRC-Loop/SQLib?style=flat)

## Installation
https://github.com/TRC-Loop/SQLib/wiki/Installation

## Features

- Connect to a SQLite3 DB
- Create or Delete Tables
- Add, Edit or Delete Records
- Query

## Quick Start

Coming Soon

## Contact Me
Email: ak@stellar-code.com