Day 065: Error handling and debugging

Python 3 Foundations and Automation
Beginner⏱ 3–5 hrPython Automation Toolkit

Day 065: Error handling and debugging

Practice error handling and debugging as part of becoming an AI-Native Full Stack Engineer + AI Consultant + Startup Builder. Today connects practical coding with job security, freelance delivery, remote work, consulting leverage, leadership, and startup opportunities.

Coding PathPython 3 Foundations and AutomationTools: Python 3, venv, pip, JSON, files, APIs
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Learning Objectives

  • Understand error handling and debugging in a practical engineering context.
  • Connect today’s skill to job security, freelance delivery, AI consulting, leadership, remote work, or startup building.
  • Create a reusable artifact that can become part of a professional portfolio.
  • Explain the topic clearly enough to teach it, document it, or present it to a client.
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Study Plan

  • 1Review the phase goal: Build Python scripts, automation tools, and data-processing utilities.
  • 2Study the official documentation or a trusted beginner-friendly guide for Error handling and debugging.
  • 3Write a short note with definitions, commands, mistakes to avoid, and real use cases.
  • 4Compare the beginner version of the concept with one advanced or production-ready pattern.
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Hands-On Tasks

  • 1Open VS Code and create or update the Day 065 project folder.
  • 2Build a small working example connected to Error handling and debugging.
  • 3Run, inspect, debug, and improve the work using terminal output or browser developer tools.
  • 4Save notes, screenshots, code, and decisions as portfolio evidence.
  • 5Commit or archive the artifact with a clear message explaining what changed.
4

Prompts

Prompt 1
Act as a senior coding mentor. Explain Error handling and debugging from beginner level to advanced practical usage.
Prompt 2
Create a step-by-step checklist for applying Error handling and debugging in a production-ready workflow.
Prompt 3
Review my Day 065 work. Find syntax issues, logic gaps, security concerns, and ways to simplify.
Prompt 4
Turn today’s work into a client-ready explanation, portfolio entry, or startup feature idea.
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Resource Library

Resource

VS Code Docs

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Python Docs

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GitHub Docs

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MDN Web Docs

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Node.js Docs

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WordPress Developer Resources

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Resource

Microsoft Learn Azure

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AWS Skill Builder

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OpenAI API Docs

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Coding Requirements

  • Use VS Code as the main editor.
  • Keep work inside a structured project folder.
  • Use Git commits where practical.
  • Keep secrets, API keys, and credentials out of public repositories.
  • Document what changed, why it matters, and how to test it.
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Study Material: Real Code Example

Error handling and debugging example
# Day 065: Error handling and debugging
from pathlib import Path

project = Path('sysaicloud-day-065')
project.mkdir(exist_ok=True)
notes = project / 'notes.md'
notes.write_text('# Error handling and debugging

Goal: build a reusable portfolio artifact.
', encoding='utf-8')
print(f'Created {project} and saved notes for Error handling and debugging.')
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Challenging Project

End-of-day challenge: convert today’s Error handling and debugging practice into a polished mini-deliverable for the Python Automation Toolkit. Include code, notes, screenshot or demo proof, and a short business/use-case explanation.

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Notes for Future Reference


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Daily Checklist