Coset is a developer community focused on driving innovation at the forefront of crypto technology.
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We're excited to announce the completion of the Plonky3 Python Notebook project, made possible through the generous support of zkBankai's grant program. This educational resource aims to demystify the inner workings of the Plonky3 proof system through interactive Python notebooks.
The project consists of comprehensive educational materials covering fundamental primitives and advanced schemes in Plonky3:
Fields: Detailed explanations of Mersenne31, BabyBear, and Goldilocks fields
Codes: In-depth coverage of Brakedown and Reed-Solomon codes
Interpolation: Barycentric interpolation, radix-2 DIT FFT, radix-2 Bowers FFT, four-step FFT, and Mersenne circle group FFT
Polynomial Commitment Schemes: FRI-based PCS, tensor PCS implementations, Univariate-to-multivariate and multivariate-to-univariate adapters
Vector Commitments: Generalized Merkle tree implementations
Generalized vector commitment schemes: Generalized Merkle tree
PIOPs: Multivariate STARK implementations
Our notebooks provide:
Interactive Learning: Hands-on experience with code examples and visualizations
Step-by-Step Explanations: Clear breakdowns of complex concepts
Practical Implementation: Working Python code to demonstrate theoretical concepts
Through these notebooks, you'll gain:
Deep understanding of finite field arithmetic and its applications
Practical knowledge of polynomial commitment schemes
Insights into modern zero-knowledge proof systems
Hands-on experience with implementing cryptographic primitives
We believe these materials will serve as a foundation for future developers entering the ZK space.
We extend our heartfelt gratitude to:
zkBankai's grant program grant program for their financial support
The Polygon team for developing Plonky3
Our dedicated team members who contributed to this project
The complete notebook collection is available on our GitHub repository. We encourage developers, researchers, and enthusiasts to explore, learn, and contribute to this educational resource.
Together, let's continue making ZK technology more accessible and understandable for everyone!
Website：https://coset.io/
Twitter：https://twitter.com/coset_io
Telegram：https://t.me/coset_io
Youtube：www.youtube.com/@coset_io
Contact：emily@coset.io
We're excited to announce the completion of the Plonky3 Python Notebook project, made possible through the generous support of zkBankai's grant program. This educational resource aims to demystify the inner workings of the Plonky3 proof system through interactive Python notebooks.
The project consists of comprehensive educational materials covering fundamental primitives and advanced schemes in Plonky3:
Fields: Detailed explanations of Mersenne31, BabyBear, and Goldilocks fields
Codes: In-depth coverage of Brakedown and Reed-Solomon codes
Interpolation: Barycentric interpolation, radix-2 DIT FFT, radix-2 Bowers FFT, four-step FFT, and Mersenne circle group FFT
Polynomial Commitment Schemes: FRI-based PCS, tensor PCS implementations, Univariate-to-multivariate and multivariate-to-univariate adapters
Vector Commitments: Generalized Merkle tree implementations
Generalized vector commitment schemes: Generalized Merkle tree
PIOPs: Multivariate STARK implementations
Our notebooks provide:
Interactive Learning: Hands-on experience with code examples and visualizations
Step-by-Step Explanations: Clear breakdowns of complex concepts
Practical Implementation: Working Python code to demonstrate theoretical concepts
Through these notebooks, you'll gain:
Deep understanding of finite field arithmetic and its applications
Practical knowledge of polynomial commitment schemes
Insights into modern zero-knowledge proof systems
Hands-on experience with implementing cryptographic primitives
We believe these materials will serve as a foundation for future developers entering the ZK space.
We extend our heartfelt gratitude to:
zkBankai's grant program grant program for their financial support
The Polygon team for developing Plonky3
Our dedicated team members who contributed to this project
The complete notebook collection is available on our GitHub repository. We encourage developers, researchers, and enthusiasts to explore, learn, and contribute to this educational resource.
Together, let's continue making ZK technology more accessible and understandable for everyone!
Website：https://coset.io/
Twitter：https://twitter.com/coset_io
Telegram：https://t.me/coset_io
Youtube：www.youtube.com/@coset_io
Contact：emily@coset.io
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