semvec/pypi-packages huggingface dataset:
PooledDBhelper 1.0.0
A database tool
License: MIT
Keywords: PooledDBhelper

DBhelper
----------------------

This is a database tool class, do database link pool, support batch insert and query, based on PooledDB, code encapsulation, simplify the operation of development.

    # pool=PooledDBhelper({
    #     'host': '192.168.0.1',
    #     'user': 'username',
    #     'password': 'password',
    #     'port': 3306,
    #     'db': 'db_name'
    # })

    # data_list= [{"name":'a', 'info':'1'}, {"name":'b', 'info':'2'},{"name":'none', 'info':'3'}]
    # rows=pool.insert_many(data_list,"cy_self_test")
    # print(rows)

    # result_list=pool.task("select * from cy_self_test")
    # print(result_list)

    # query = "insert into `cy_self_test`({}) values {}".format("`name`,`info`", ("cy","world"))
    # pool.fetchone(query)

    # query="select  * from cy_self_test where id=1"
    # result=pool.fetchone(query)
    # print(result)
django-pylibmc-threadsafe 1.0.1
Thread safe pylibmc cache pbackend for django
License: MIT
Requires Python: >=3.7
Keywords: pylibmc,django

============================================
Thread safe pylibmc cache backend for django
============================================

|version| |downloads| |license|

Default django pylibmc cache backend don't work correctly using multithread
uWSGI or celery worker.

This package uses separate connection for each context (thread or async context)
and can be used as direct replacement of
``django.core.cache.backends.memcached.PyLibMCCache``.

Install
-------

.. code:: bash

	pip install django_pylibmc_threadsafe

Configuration
-------------

This package has only one additional option - ``ignore_exc`` used to suppress all
exceptions (behavior used in old
``django.core.cache.backends.memcached.MemcachedCache`` backend). All other
options are identical to ``django.core.cache.backends.memcached.PyLibMCCache``.

Example configuration:

.. code-block:: python

	CACHES = {
		'default': {
			'BACKEND': 'django_pylibmc_threadsafe.PyLibMCCache',
			'LOCATION': '127.0.0.1:11211',
			'KEY_PREFIX': '',
			'OPTIONS': {
				'binary': True,
				'ignore_exc': True,
				'behaviors': {
					'ketama': True,
				}
			}
		},

.. |version| image:: https://badge.fury.io/py/django-pylibmc-threadsafe.svg
	:target: https://pypi.python.org/pypi/django-pylibmc-threadsafe/

.. |downloads| image:: https://img.shields.io/pypi/dw/django-pylibmc-threadsafe.svg
	:target: https://pypi.python.org/pypi/django-pylibmc-threadsafe/

.. |license| image:: https://img.shields.io/pypi/l/django-pylibmc-threadsafe.svg
	:target: https://pypi.python.org/pypi/django-pylibmc-threadsafe/
simpledatatable 0.3.4
This package allows flet developers to easily import SQL, CSV, Excel or Json tables into flet's DataTable.
License: MIT
Keywords: table,datatable,simpledt,tableserializer,sql,csv,excel,json,flet

# simpledt


This is a third party party package for the framework **Flet**.

It enables **Flet** users to serialize

- Pandas DataFrame
- SQL
- CSV
- JSON
- Excel

Into Flet's **DataTable**.

For documentation and other details, please visit the project [repository](https://github.com/StanMathers/simple-datatable)

## Release notes:


### Version 0.3.4


- Added **kwargs to every shortcut function


#### Example usage:


```python
import flet as ft
from simpledt import CSVDataTable

def main(page: ft.Page):
    csv = CSVDataTable("MOCK_DATA2.csv", delimiter=";")
    datatable = csv.datatable
    page.add(datatable)

ft.app(target=main)
```