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How to extract DB table data into csv file using python

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This is the 11th video of Database programming with Python video tutorial series. In this video we will see how to connect to the Oracle database using the cx_oracle package and extract data using the pandas library.
Steps performed:
================
Create Connection
execute the query using run_sql_query
save the df data onto a csv file
The cx_Oracle is a Python extension module that enables access to Oracle Database. It conforms to the Python database API 2.0 specification with a considerable number of additions and a couple of exclusions.
cx_Oracle 7 has been tested with Python version 2.7, and with versions 3.5 through 3.8. You can use cx_Oracle with Oracle 11.2, 12, 18 and 19 client libraries. Oracle's standard client-server version interoperability allows connection to both older and newer databases. For example Oracle 19c client libraries can connect to Oracle Database 11.2.
Links to all videos related to Database programming with Python
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Tools used in creating and executing the scripts:
==================================================
VSCode - Visual Studio Code
SQL Developer
Links used while creating the content:
=======================================
Content and video created by - Kishan Mashru
Steps performed:
================
Create Connection
execute the query using run_sql_query
save the df data onto a csv file
The cx_Oracle is a Python extension module that enables access to Oracle Database. It conforms to the Python database API 2.0 specification with a considerable number of additions and a couple of exclusions.
cx_Oracle 7 has been tested with Python version 2.7, and with versions 3.5 through 3.8. You can use cx_Oracle with Oracle 11.2, 12, 18 and 19 client libraries. Oracle's standard client-server version interoperability allows connection to both older and newer databases. For example Oracle 19c client libraries can connect to Oracle Database 11.2.
Links to all videos related to Database programming with Python
=================================================================
Tools used in creating and executing the scripts:
==================================================
VSCode - Visual Studio Code
SQL Developer
Links used while creating the content:
=======================================
Content and video created by - Kishan Mashru
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