semvec/pypi-packages huggingface dataset:
NepseData 1.2
Every information and data in Nepal Share Market are available

What is this Package For???

   This Package provides live data of Nepal Share Index.
   Including last Transaction Price, It provides Close Price, Open, High, Low and Volume .

For Single Stock Detail:
 - Import this Package
        import NepseData as nd
 
 - Now call a method named get_data as below:
        nd.get_data("NABIL")
    
    OUTPUT:
        ({'ticker': 'NABIL'},
        {'last_transaction_price': 804.0},
        {'Change in Points': -4.0},
        {'Percentage_Change': -0.5},
        {'Opening Price': 815.0},
        {'High': 815.0},
        {'Low': 803.5},
        {'Volume': 58542.0})

For Multiple Stock Data:
    - Import this Package
        import NepseData as nd

    -Create a list of stocks and empty list for appending data
        StockList = ["ADBL","JBBL","SHINE"]
        StockData = []

    - Going through stocks and appending each data in empty list:
        for stock in StockList:
            StockData.append(nd.get_data(stock))

    - Printing Collected data
        print(StockData)
    
    OUTPUT: 
        [({'ticker': 'ADBL'}, {'last_transaction_price': 310.0}, {'Change in Points': -1.1}, {'Percentage_Change': -0.35}, {'Opening Price': 312.0}, {'High': 313.0}, {'Low': 309.0}, {'Volume': 14709.0}),
         ({'ticker': 'JBBL'}, {'last_transaction_price': 274.0}, {'Change in Points': -1.0}, {'Percentage_Change': -0.36}, {'Opening Price': 270.0}, {'High': 276.5}, {'Low': 270.0}, {'Volume': 4740.0}), 
         ({'ticker': 'SHINE'}, {'last_transaction_price': 325.3}, {'Change in Points': -3.7}, {'Percentage_Change': -1.12}, {'Opening Price': 333.8}, {'High': 333.8}, {'Low': 325.0}, {'Volume': 30419.0})]
ColorInfo 2.2.0
ColorInfo 是一个使用Python3编写的简单的彩色日志工具，拥有简单、友好的语法,采用纯原始功能实现,无需依赖任何第三方模块
Requires Python: >=3.0

# ColorInfo

## 介绍

ColorInfo 是一个使用Python3编写的简单的彩色日志工具,主要特性:

* 使用简单
* 彩色输出
* 中文注释
* 支持全部Python3版本(>=3.0)

## 更新内容

### `1.2.4`

* 独立实例参数配置


## 安装教程

执行下面的命令即可

```shell
pip3 install --upgrade ColorInfo
```

## Demo

```
# -*- encoding: utf-8 -*-
"""
@File    :   demo.py
@Time    :   2022-10-26 23:51
@Author  :   坐公交也用券
@Version :   1.0
@Contact :   liumou.site@qq.com
@Homepage : https://liumou.site
@Desc    :   演示
"""
from ColorInfo import ColorLogger

log = ColorLogger(txt=True, fileinfo=True, basename=False)
log.info(msg='1', x="23")
log.error('2', '22', '222')
log.debug('3', '21')
log.warning('4', '20', 22)
```

# 效果

请在`gitee`项目主页查看图片

![logg.png](./Demo.png)

# 项目主页

[https://pypi.org/project/ColorInfo/](https://pypi.org/project/ColorInfo/)

[https://gitee.com/liumou_site/ColorInfo.git](https://gitee.com/liumou_site/ColorInfo.git)
py-opengauss 1.3.10
Opengauss driver and tools library.
Requires Python: >=3.3


This package is based on py-postgresql upgrades to work with openGauss.

Repo: https://gitee.com/opengauss/openGauss-connector-python-pyog
Adapted from: http://github.com/python-postgres/fe v1.3.0

.. warning::
	In v1.3, `py_opengauss.driver.dbapi20.connect` will now raise `ClientCannotConnectError` directly.
	Exception traps around connect should still function, but the `__context__` attribute
	on the error instance will be `None` in the usual failure case as it is no longer
	incorrectly chained. Trapping `ClientCannotConnectError` ahead of `Error` should
	allow both cases to co-exist in the event that data is being extracted from
	the `ClientCannotConnectError`.

py-opengauss is a set of Python modules providing interfaces to various parts
of openGauss. Primarily, it provides a pure-Python driver with some C optimizations for
querying a openGauss database.

https://gitee.com/opengauss/openGauss-connector-python-pyog

Features:

 * Prepared Statement driven interfaces.
 * Cluster tools for creating and controlling a cluster.
 * Support for most PostgreSQL types: composites, arrays, numeric, lots more.
 * COPY support.
 * Multiple ip connect support

Sample PG-API Code::

	>>> import py_opengauss
	>>> db = py_opengauss.open('pq://user:password@host:port,host:port/database')
	>>> db.execute("CREATE TABLE emp (emp_first_name text, emp_last_name text, emp_salary numeric)")
	>>> make_emp = db.prepare("INSERT INTO emp VALUES ($1, $2, $3)")
	>>> make_emp("John", "Doe", "75,322")
	>>> with db.xact():
	...  make_emp("Jane", "Doe", "75,322")
	...  make_emp("Edward", "Johnson", "82,744")
	...

There is a DB-API 2.0 module as well::

	py_opengauss.driver.dbapi20

However, PG-API is recommended as it provides greater utility.

Once installed, try out the ``pg_python`` console script::

	$ python3 -m py_opengauss.bin.pg_python -h localhost -p port -U theuser -d database_name

If a successful connection is made to the remote host, it will provide a Python
console with the database connection bound to the `db` name.