Use Python 2 and 3 Pyodbc and Sqlalchemy to connect to SQL Server Client 11.0

ByBernard Adabankah April 18, 2021February 14, 2023

There are several ways you can use Python to connect to SQL Server and one of such ways is to use pyodbc and sqlalchemy

[crayon-6a4cdd33e4f16361622810 inline="true" ]import sqlalchemy

import pyodbc

try:

import urllib

params = urllib.quote_plus("DRIVER={SQL Server Native Client 11.0};SERVER=.\MSSQLSERVER_ENT;DATABASE=MagicDirect;Trusted_Connection=yes;")

engine = sqlalchemy.create_engine('mssql+pyodbc:///?odbc_connect=%s"' % params)

results.to_sql("clusterSegments", engine, if_exists = 'replace')#

except (RuntimeError, TypeError, NameError):

print('Error in Conneccting')

print(RuntimeError, TypeError, NameError)

finally:

print("connected")

[/crayon]

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I was working with a CSV file on a project and after reading the CSV into the Program with the pandas.read_csv function the returned data type seemed not be a Dataframe for some reason code was as follows: sample = pd.read_csv(‘sample.csv’) When i tried to run some functions on the supposed ‘returned dataframe object -sample’ I…

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import sys

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#app = QtGui.QApplication(sys.argv)

#window = QtGui.QWidget()

##set the posstion and size of the window

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class Window(QtGui.QMainWindow):

def __init__(self):

super(Window, self).__init__()

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import numpy as np

import pandas as pd

from pandas import Series, DataFrame

In [3]:

#make a series

ser1 = Series(range(3), index=['C','A','B'])

ser1

Out[3]:

C 0

A 1

B 2

dtype: int32

In [4]:

1 2	#sort index of series ser1.sort_index()

Out[4]:

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B 2

C 0

dtype: int32

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2 0.542825

3 1.421174

4 -0.173771

5 0.002573

6 -0.490208

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8 -2.546040

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…

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Default

1
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SQL | Transact-SQL

Pyodbc Sqlalchemy Python 2 and 3 SQL Server Native Client 11.0

Bydatapandasadmin April 18, 2021April 18, 2021

This is a sample code to use Python to connect to SQL Server Native Client.

import sqlalchemy

import pyodbc

try:

import urllib

params = urllib.quote_plus("DRIVER={SQL Server Native Client 11.0};SERVER=.\MSSQLSERVER_ENT;DATABASE=MagicDirect;Trusted_Connection=yes;")

engine = sqlalchemy.create_engine('mssql+pyodbc:///?odbc_connect=%s"' % params)

results.to_sql("clusterSegments", engine, if_exists = 'replace')#

except (RuntimeError, TypeError, NameError):

print('Error in Conneccting')

print(RuntimeError, TypeError, NameError)

finally:

print("connected")

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Read More Run Your Python and R Codes Online For Your Data Science and Machine Learning Projects Mini Projects For Free

Use Python 2 and 3 Pyodbc and Sqlalchemy to connect to SQL Server Client 11.0

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Read_csv Is Not Returning A Dataframe Python Pandas

Python PyQt Gui Basics Button Window PyQt4 Pt1

Rank Sort Series DataFrames in Python Pandas Numpy

Pyodbc Sqlalchemy Python 2 and 3 SQL Server Native Client 11.0

Run Your Python and R Codes Online For Your Data Science and Machine Learning Projects Mini Projects For Free

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