Used cx_Oracle for CentOS (64-bit) for Linux?


cx_Oracle for CentOS (64-bit) Analysis

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cx_Oracle for CentOS (64-bit) is a powerful library designed for developers working with Oracle databases. It provides a robust interface for connecting to Oracle Database from Python applications, supporting various data types and operations. Key features include easy installation via package managers, seamless integration with Python, and compatibility with Oracle's advanced database functionalities. The library enables developers to execute SQL queries, manage transactions, and handle errors effectively, making it an essential tool for database-driven applications.

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This library is particularly suited for CentOS users, offering optimized performance and stability on this Linux distribution. It supports both Python 2 and Python 3, ensuring a wide range of compatibility for projects. Additionally, cx_Oracle facilitates the use of Oracle's native features such as advanced queuing and PL/SQL execution, empowering developers to create sophisticated database applications with ease. Overall, cx_Oracle is a valuable component for any developer looking to leverage Oracle databases in their Linux environments.


Used cx_Oracle for CentOS (64-bit) for Linux?


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Full Specifications

GENERAL
Release
Latest update
Version
5.1.2
OPERATING SYSTEMS
Platform
Linux
Operating System
CentOS
Additional Requirements
Oracle 11g, Python 3.2
POPULARITY
Total Downloads
118
Downloads Last Week
0

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Last Updated


Developer’s Description

Get a Python extension module on your Linux system.
cx_Oracle for CentOS (64-bit) allows access to Oracle and conforms to the Python database API 2.0 specifications with a number of additions. The method cursor.nextset() and the time data type are not supported by Oracle and are therefore not implemented. cx_Oracle for CentOS (64-bit) is a Python extension module. cx_Oracle for CentOS (64-bit) is currently built against Oracle 9.2, 10.2, 11.1 and 11.2.

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Content created and reviewed by Softonic with information obtained from Anthony Tuininga, using AI.

CNET's editorial team was not involved in the creation of this content. Opinions, analysis and reviews were not provided by CNET.