- Python Data Persistence Tutorial
- Python Data Persistence - Home
- Python Data Persistence - Introduction
- Python Data Persistence - File API
- File Handling with os Module
- Python Data Persistence - Object Serialization
- Python Data Persistence - Pickle Module
- Python Data Persistence - Marshal Module
- Python Data Persistence - Shelve Module
- Python Data Persistence - dbm Package
- Python Data Persistence - CSV Module
- Python Data Persistence - JSON Module
- Python Data Persistence - XML Parsers
- Python Data Persistence - Plistlib Module
- Python Data Persistence - Sqlite3 Module
- Python Data Persistence - SQLAlchemy
- Python Data Persistence - PyMongo module
- Python Data Persistence - Cassandra Driver
- Data Persistence - ZODB
- Data Persistence - Openpyxl Module
- Python Data Persistence Resources
- Python Data Persistence - Quick Guide
- Python Data Persistence - Useful Resources
- Python Data Persistence - Discussion
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
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Python Data Persistence Tutorial
In this tutorial, we will explore various built-in and third party Python modules to store and retrieve data to/from various formats such as text file, CSV, JSON and XML files as well as relational and non-relational databases. This tutorial also introduces ZODB database, which is a persistence API for Python objects. Microsoft Excel format is a very popular data file format. Here, we will learn how to handle .xlsx file through Python.
Audience
This tutorial is for all the software programmers who have keen interest in learning about data persistence with regards to Python.
Prerequisites
If you are novice to Python, it is suggested that you go through the tutorials related to Python before proceeding with this one.
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