Small steps, documented honestly.

Notes from mathematics, computer science, and AI. These are working records, not polished claims of expertise.

From Python Conditionals to s×n Matrices

Reviewing f-strings, conditional branches, pass, and nested statements while beginning n-variable linear systems and their matrix representation.

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Uniqueness of a Dedekind Boundary and Python Modulo

Getting stuck on the boundary-number proof behind Dedekind continuity, then clarifying modulo, equality, and inequality in Python.

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Starting with 0.4 − 0.3: Python Basics and a Study Strategy Reset

Reviewing Python operators, conditionals, and floating-point approximation in the library, then clarifying the roles of my university text, Understanding Analysis, Python, and English.

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One Hour After Training: Python Escape Sequences and Induction

An hour in the library revisiting Python type checks and escape sequences, then tracing the logic of mathematical induction in an English-language textbook.

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Two Hours in the Library: Proof Strategies and Temporary Variables

Distinguishing direct proof, contradiction, and contraposition in Understanding Analysis, then reviewing temporary variables in Python.

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Three Hours in the Library: Revisiting Python Basics

A review of Python types and triple-quoted strings, alongside continued work on my Chinese–English analysis glossary.

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August Notes: Python Foundations and a First Look at Analysis

Early work on Python and real analysis, the gaps that became visible after a break, and a plan to revisit the foundations.

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Day Zero: Why I am learning in public

The starting point of a four-year experiment in mathematics, AI, and honest documentation.

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