DataForge Pro - Python Data Processing Templates

10 ready-to-use Python data processing templates for CSV, Excel, and JSON files.

What's Included:

• Quick Start - Load, preview, and save data files

• Data Cleaning - Remove duplicates, empty rows, trim whitespace

• Format Conversion - Convert between CSV, Excel, and JSON

• VLOOKUP - Excel-like data matching and merging

• Pivot Tables - Group and aggregate data with multiple functions

• File Comparison - Find differences between two datasets

• Batch Processing - Process multiple files automatically

• Multi-Sheet Excel - Work with multiple Excel sheets

• CLI Mode - Command-line usage examples

• Extension Guide - Learn how to extend the functionality

Key Features:

• Chainable API for clean, readable code

• Supports CSV, Excel (.xlsx/.xls), JSON

• Well documented with clear docstrings

• Example data included for testing

• Easy to customize and extend

Requirements: Python 3.8+, pandas, openpyxl, xlrd

Usage Example:

from core import DataForge

df = (DataForge()

   .load('data.csv')

   .remove_duplicates()

   .vlookup('lookup.csv', 'ID', ['Name', 'City'])

   .save('output.xlsx'))