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QurioSkill Python Specialization — Curriculum Snapshot

A 12‑week, hands‑on program built for learners interested in python programming.

Learning outcomes

Internalize core Python concepts—data types, control flow, functions, and packages—with a focus on problem decomposition and “thinking in code.”

We adopt a hands-on, problem-solving mindset: every class applies concepts to real tasks with mini-challenges, live debugging, and iterative refactoring to build fluency.


Topics Covered

Topic One-line explainer Why it matters
Data types How Python represents numbers, text, booleans, lists, and dictionaries. The right type prevents bugs and enables the correct operations from day one.
Functions Bundle reusable logic with parameters and return values (e.g., def sum(a,b):return a+b) Makes code modular, testable, and maintainable as projects grow.
Methods Functions that belong to objects (e.g., "text".upper(), list.append()), including mutating vs non-mutating behavior. Promotes idiomatic, readable code and leverages built-ins efficiently to avoid reinventing logic.
Loops & conditionals Make decisions and repeat actions with if/elif/else and for/while. Turns static scripts into dynamic programs that handle real-world variability.
Modules & packages Organize code across files and reuse libraries with imports. Keeps projects scalable and lets you leverage the wider Python ecosystem.
Source control (Git) Track, branch, and merge code changes locally and on GitHub. Enables collaboration, safe rollback, code reviews, and reliable deployment.
Hands-on problem solving (every class) Apply each topic to mini real-world tasks—pair coding, debugging, and iterating on working code. Reinforces concepts through practice, builds confidence, and creates portfolio-ready snippets.
Projects Build small but complete tools (e.g., CLI utility, data report, API client, mini dashboard). Integrates multiple concepts end-to-end and produces visible outcomes for your portfolio.

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