Mastering Number Theory: Quadratic Residues and Reciprocity Laws: Mastering Quadratic Residues, Reciprocity Laws & Python Demos for Number Theory and
暫譯: 精通數論：二次剩餘與互反律：精通二次剩餘、互反律及數論的 Python 示範

"I once proved that coffee grounds are just quadratic residues, because they always come back in your cup."

Brace yourself for the most exhilarating journey through modular squares, Legendre symbols, reciprocity laws and Gauss sums, peppered with full Python demos that actually run. If you thought number theory was dusty, prepare for an eccentric guide who unearths every secret from Euler's Criterion to character sums, all while ensuring your code compiles on the first try.

Why This Textbook Is Unapologetically Essential

• Deep Dive into Core Concepts: Quadratic residues, non-residues, Legendre & Jacobi symbols, Hensel lifts, Gauss sums, binary quadratic forms, and the surprising ways they interlock.
• Python-First Approach: Every theorem comes with executable demos. Visualize primitive roots, test reciprocity laws, compute character sums, no dry proofs without runnable code.
• Cryptographic Edge: Learn how these residue theorems underpin RSA residuosity, Goldwasser-Micali encryption, zero-knowledge proofs, and pseudorandom generators.

What You'll Discover (in Glorious Detail)

• Chapters 1-4: Modular squares, Euler's Criterion, distribution of residues, primitive roots
• Chapters 5-9: Gauss's Lemma, three distinct proofs of Quadratic Reciprocity, including Eisenstein's lattice method
• Chapters 10-13: Composite moduli, Jacobi symbol, Hensel's lemma and p-adic squares
• Chapters 14-17: Gauss sums, quadratic forms, sum-of-two-squares theorem, Solovay-Strassen primality tests
• Chapters 18-24: Reziduosity in cryptosystems, finite field characters, analytic bounds, character sums, and a unified reciprocity panorama

Who Should Read This

• Aspiring number-theorists craving computational clarity
• Cryptography engineers seeking mathematical rigor
• Graduate students needing a polished reference with code you can fork
• Pythonistas hungry for pure-math challenges