Entertaining, instructive, and a genuine brainfuck about Python code protection.
What it’s about
Scenarios where you need to protect your Python code: intellectual property, distributing applications, improving performance, securing sensitive algorithms.
This talk covers:
- Basic obfuscation methods
- Code packaging and encryption
- Advanced techniques: creating custom Python interpreters
- Effectiveness analysis of each method
- Real use cases and limitations
Why it’s relevant
Python is open source by design. But sometimes you need to protect proprietary algorithms, commercial products, or sensitive internal tools.
This talk shows the ENTIRE spectrum: from simple to extreme.