semvec/pypi-packages huggingface dataset:
mssqlconnect 0.3
mssqlconnect
License: MIT

# mssqlconnect

[![Python Version](https://img.shields.io/badge/python-%203.8%20%7C%203.9%20%7C%203.10-blue)](https://pypi.org/project/mssqlconnect/)
[![License](https://img.shields.io/badge/license-MIT-green)](https://opensource.org/licenses/MIT)

`mssqlconnect` 是一个 Python 库，旨在简化与 Microsoft SQL Server 数据库的连接和交互过程。它提供了一个简洁的接口来执行 SQL 查询、管理数据库连接和处理结果集。

## 特点

- **简洁的接口**：易于使用的接口，快速开始。

## 安装

使用 pip 安装 `mssqlconnect`：

```bash
pip install mssqlconnect
```

## 使用
``` python
from mssqlconnect import SQLServer

parameter = {
    "server": "127.0.0.1",
    "username": "sa",
    "password": "你的密码",
    "database": "你的数据库名称"
}

def main():
    with SQLServer(parameter) as conner:
        result = conner.execute_query("SELECT * FROM [dbo].[user]")
        result = conner.ex("SELECT * FROM [dbo].[user]")
        print(result)

if __name__ == '__main__':
    main()
turfpy 0.0.8
A Python library for performing geospatial data analysis which reimplements turf.js.
License: MIT
Keywords: Python Library for Turf

# Turfpy
[![Build Status](https://travis-ci.com/omanges/turfpy.svg?branch=master)](https://travis-ci.com/omanges/turfpy)
[![PyPI](https://img.shields.io/pypi/v/turfpy)](https://pypi.org/project/turfpy/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/turfpy)](https://pypi.org/project/turfpy/)
[![PyPI - Status](https://img.shields.io/pypi/status/turfpy)](https://pypi.org/project/turfpy/)
[![PyPI - License](https://img.shields.io/pypi/l/turfpy)](https://pypi.org/project/turfpy/)
[![Total alerts](https://img.shields.io/lgtm/alerts/g/omanges/turfpy.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/omanges/turfpy/alerts/)
[![code quality: python](https://img.shields.io/lgtm/grade/python/g/omanges/turfpy.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/omanges/turfpy/context:python)
[![Downloads](https://pepy.tech/badge/turfpy/month)](https://pepy.tech/project/turfpy)
[![Conda (channel only)](https://img.shields.io/conda/vn/conda-forge/turfpy)](https://anaconda.org/conda-forge/turfpy)
[![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/turfpy)](https://anaconda.org/conda-forge/turfpy)
[![Join the Gitter Chat](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/turfpy/turfpy-user-group?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[![Documentation Status](https://readthedocs.org/projects/turfpy/badge/?version=latest)](https://turfpy.readthedocs.io/en/latest/?badge=latest)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![commits since](https://img.shields.io/github/commits-since/omanges/turfpy/latest.svg)](https://github.com/omanges/turfpy/commits/master)
[![GitHub contributors](https://img.shields.io/github/contributors/omanges/turfpy)](https://github.com/omanges/turfpy/graphs/contributors)

Demo:

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/omanges/turfpy/master?urlpath=lab/tree/examples)


A Python library for performing geospatial data analysis which reimplements turf.js.

## Installation

You can install the Turfpy from [PyPI](https://pypi.org/project/turfpy/):
   
    pip install turfpy

If you prefer to use [conda](https://anaconda.org/conda-forge/turfpy):

    conda install -c conda-forge turfpy

## Test Suite

You can run the test suite locally:

```bash
pip install -r dev_requirements.txt
pytest -s -v --cov=turfpy tests
```

## Features
It supports below features:

- [Measurements](https://github.com/omanges/turfpy/blob/master/measurements.md)

- [Transformations](https://github.com/omanges/turfpy/blob/master/transformation.md)

- [Misc](https://github.com/omanges/turfpy/blob/master/misc.md)

- [Random](https://github.com/omanges/turfpy/blob/master/random.md)

- [Feature Conversion](https://github.com/omanges/turfpy/blob/master/feature_conversion.md)

- [Boolean](https://github.com/omanges/turfpy/blob/master/boolean.md)

## Documentation

Documentation can be found at: [docs](https://turfpy.readthedocs.io/en/latest/)