CS50P — QA Automation Learning Bootcamp

Structured learning journey: Python fundamentals → pytest → Playwright automation testing

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📋 Overview

Self-directed bootcamp program combining Harvard's CS50P with hands-on QA automation tooling. Three-phase progression building portfolio-ready test automation skills.

Duration: 60 days intensive | Time commitment: 3h/day | Output: 4 Python projects + test framework

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🎯 Three-Phase Structure

Phase 1: Python Core (Days 1-30)

Goal: Fluent Python with clean code practices

Week	Topics	Project
1	Functions, variables, strings, I/O, conditionals	Password strength validator
2	Data structures: lists, dicts, sets, tuples	Contact manager CLI
3	Modules, file I/O, error handling, HTTP APIs	Expense tracker with JSON persistence
4	OOP, classes, inheritance, clean code	Quiz app (integration project)

Resources (PT-BR):

• Curso em Vídeo — Python Fundamentals
• Python Docs — Portuguese

Aligned with: CS50P Problem Sets 0-8

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Phase 2: Testing with pytest (Days 31-45)

Goal: Professional test suite design and execution

Days	Topic	Resource
31-33	pytest basics, assertions, test discovery	Microsoft Learn PT-BR
34-36	Fixtures, conftest.py, scope management	Domine Pytest — Udemy PT-BR
37-39	Parametrization, markers, exception testing	pytest docs
40-42	Mocking, coverage analysis (pytest-cov)	Udemy
43-45	Project: Test suite ≥80% coverage for Phase 1 projects	—

Output: Test coverage reports, CI-ready test suite

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Phase 3: UI + API Automation (Days 46-60)

Goal: End-to-end test automation framework

Days	Topic	Resource
46-48	Playwright setup, selectors, navigation	Playwright com Python — Udemy
49-51	Page Object Model (POM) architecture	Udemy
52-54	API testing: requests library, status validation, JSON parsing	NashTech Guide
55-57	Authentication flows, schema validation, fixtures	requests docs + jsonschema
58-60	Project: Mini automation framework (UI + API) → GitHub	—

Output: Production-ready framework with Page Object Model

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📂 Repository Structure

cs50-python/
├── week0/                 # CS50P Problem Set 0
│   ├── hello.py
│   ├── einstein.py
│   ├── faces.py
│   └── ...
├── phase1_python/
│   ├── password_validator/
│   │   ├── validator.py
│   │   └── main.py
│   ├── contact_manager/
│   ├── expense_tracker/
│   └── quiz_app/
├── phase2_testing/
│   ├── tests/
│   │   ├── test_validator.py
│   │   ├── test_contacts.py
│   │   └── conftest.py
│   └── coverage_report/
├── phase3_automation/
│   ├── tests/
│   │   ├── ui/
│   │   │   └── test_*.py
│   │   └── api/
│   │       └── test_*.py
│   ├── pages/         # Page Object Model
│   │   ├── base_page.py
│   │   └── login_page.py
│   ├── api/
│   │   └── client.py
│   └── conftest.py
└── README.md

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🔧 Code Standards

All code follows these standards:

"""Module docstring."""
from typing import Optional

def normalize_string(raw: str) -> str:
    """Process and clean input string.

    Args:
        raw: Input string to normalize.

    Returns:
        Normalized string ready for use.
    """
    return raw.strip().lower()

Requirements:

• Type hints on all function signatures
• Google-style docstrings
• PEP 8 compliance (88 char max via Black)
• Single responsibility principle
• No comments for obvious code

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📊 Progress Tracking

Phase	Status	Days	Checkpoint
Week 0	✅ Complete	—	PS0 submitted
Phase 1	🔄 In Progress	1-30	4 projects, daily commits
Phase 2	☐ Pending	31-45	≥80% test coverage
Phase 3	☐ Pending	46-60	Framework on GitHub

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🎓 Learning Methodology

• Hands-on first: Code before watching videos
• Feynman principle: Explain concepts without references
• Daily commitment: Minimum 3h structured learning
• CI discipline: Daily commits to GitHub
• QA mindset: Test everything before advancing

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🚀 Usage

To run projects:

# Phase 1 projects
cd phase1_python/password_validator
python main.py

# Phase 2 tests
cd phase2_testing
pytest -v --cov=phase1_python tests/

# Phase 3 automation
cd phase3_automation
pytest tests/ui/ tests/api/ -v

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📚 Key Resources

Topic	Resource	Format
Python Core	Curso em Vídeo (Guanabara)	Video + Exercises
pytest	Microsoft Learn PT-BR	Free module + Docs
Playwright	Udemy PT-BR (latest)	Video + Labs
API Testing	NashTech Blog + Docs	Articles + Reference

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✅ Success Criteria

Each phase completes when:

1. All daily objectives met — concept understood, code written, tested
2. Feynman check passed — can explain without references
3. Code follows standards — linting clean, tests passing, coverage adequate
4. Project committed — GitHub push with clear message

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📞 Support

twitter.com/deehlusa deehlusa@gmail.com

This is self-directed learning using:

• Official documentation (Python, pytest, Playwright)
• Open-source tutorials (NashTech, Microsoft Learn)
• Claude AI for code review and concept clarification

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Last Updated: 2026-03-28 | Plan Created by Deehlusa with Claude Code/App.