kidexa 0.1.3

A collection of tools, starting with a sloppy number parser.

kidexa

Stop writing Regex to clean numbers. Convert messy strings to numbers instantly.

🚀 The Problem

Every Python developer has faced this error when scraping data or processing user input:

ValueError: invalid literal for int() with base 10: '$ 1,200.00'

Cleaning these strings manually using regex is repetitive and error-prone.

💡 The Solution

kidexa is a lightweight utility that takes any messy string and converts it into a valid number (integer or float).
It automatically handles:

• Currency symbols
• Commas
• Extra words
• Social media suffixes (k, m, b)
• Random special characters

📦 Installation

pip install kidexa

🛠 Usage

from kidexa import sloppy_number

print(sloppy_number.parse("$ 1,200.00"))   # Output: 1200
print(sloppy_number.parse("Rs. 450/-"))    # Output: 450

print(sloppy_number.parse("2.5k views"))   # Output: 2500
print(sloppy_number.parse("2M followers")) # Output: 2000000

print(sloppy_number.parse("Order #555"))   # Output: 555
print(sloppy_number.parse("N/A"))          # Output: None

✨ Features

• Currency Support
• Commas
• Multipliers (k, m, b)
• Smart Typing
• Safe (returns None if invalid)

📝 Use Cases

• Web Scraping
• Data Analysis
• Social Media Bots
• Backend Validation

🤝 Contributing

Pull requests are welcome!

📄 License

MIT License

• LICENSE file for details.