semvec/pypi-packages huggingface dataset:
pytunics 1.0.5
package with main method for laser control
Requires Python: >=3.8

# Tunics Laser package

[![pipeline status](https://gitlab.xlim.fr/vasko/Tunics-Laser-control-python/badges/master/pipeline.svg)](https://gitlab.xlim.fr/vasko/Tunics-Laser-control-python/-/commits/master) 
[![coverage report](https://gitlab.xlim.fr/vasko/Tunics-Laser-control-python/badges/master/coverage.svg)](https://gitlab.xlim.fr/vasko/Tunics-Laser-control-python/-/commits/master)
[![Latest Release](https://gitlab.xlim.fr/vasko/Tunics-Laser-control-python/-/badges/release.svg)](https://gitlab.xlim.fr/vasko/Tunics-Laser-control-python/-/releases)\
This is simple package for self studying GIT and\
control instrument by GPIB interface.

# Installation
pip install pytunics
# Usage example
```python
from pytunics import TunicsLaser
from numpy import arange

wl_start = 1550.1
wl_stop = 1550.3
wl_step = 0.01
las = TunicsLaser()
las.enable()
for wl in arange(wl_start, wl_stop, wl_step):
    las.set_wavelength(wl)
    # do something
las.disable()
```
***
Special thanks
===
Artem Nedbailo - QA advices & reviews\
Yann Leventoux - Instrument & tools supply

TBD
===
CI/CD\
more tests
xquery 0.0.116
A package to easily run queries at SQL Server and BigQuery.
Requires Python: >=3.6

# XQuery

### A package to easily run queries at SQL Server and BigQuery.

Allows sending queries and receiving data in form of pandas DataFrame from SQL Server and BigQuery.


# How to use
### SQL SERVER
```python
from xquery import XQuery

server_name = 'ENTER_SERV_NAME'
database_name = 'ENTER_DB_NAME'

sql_xq = XQuery()
sql_xq.set_connection_sql_server(server_name=server_name, database_name=database_name)
df = sql_xq.pull_query('SELECT 1 AS d')
print(df)
sql_xq.session.close_connection()
```



### BIGQUERY
```python
from xquery import XQuery
from src.XQuery.config import BQ_CLIENT_SECRET_FILE #  edit path to your file


bq_xq = XQuery()
bq_xq.set_connection_big_query(BQ_CLIENT_SECRET_FILE)
df = bq_xq.pull_query('SELECT 1 AS d')
print(df)
bq_xq.session.close_connection()
```