Learn Python fundamentals: syntax, data structures, functions, and object-oriented programming. Understand why Python’s design choices matter for readable, maintainable code.

Understand why software usability matters: how learnability, efficiency, memorability, error prevention, and satisfaction create software that users can actually use effectively.

Understand why naming matters in software: how clear names improve readability, reduce bugs, and make code easier to understand, maintain, and modify over time.

Understand why software maintainability matters: how code quality, technical debt, refactoring, and design patterns create systems that are easier to modify, debug, and extend over time.

Understand why software marketing works: how positioning, messaging, and go-to-market strategy connect software products with customers and when each approach matters most.

Understand why software business management works: how planning, organizing, leading, and controlling create effective software organizations and when each function matters most.

PESTLE analysis reference: definitions, components, and usage for Political, Economic, Social, Technological, Legal, and Environmental factors.

SWOT analysis reference: definitions, components, format, and usage for Strengths, Weaknesses, Opportunities, and Threats in strategic planning.

Software debugging fundamentals for developers: mental models, evidence-driven workflows, observability signals, and practical techniques for finding root causes fast.

Software caching explained: why caches speed up systems, where they fail, and how to think about freshness, consistency, and cache misses.