Homomorphic encryption is powerful but pretty hard to get started with. I put together a Jupyter Notebook tutorial for the CKKS scheme that walks through encoding, encrypting, performing computations, and decrypting results, all in Python.
It’s aimed at people who want to experiment with privacy-preserving computations without diving straight into dense papers. The notebook includes explanations, runnable examples, and practical tips for writing clean, maintainable Python code for HE workflows.
Homomorphic encryption is powerful but pretty hard to get started with. I put together a Jupyter Notebook tutorial for the CKKS scheme that walks through encoding, encrypting, performing computations, and decrypting results, all in Python.
It’s aimed at people who want to experiment with privacy-preserving computations without diving straight into dense papers. The notebook includes explanations, runnable examples, and practical tips for writing clean, maintainable Python code for HE workflows.
Repo: https://github.com/manos02/ckks
I’d love feedback from anyone working with HE, or suggestions for making the tutorial more practical and approachable.