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Independent

Python Coding With AI

via Independent

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Overview

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LLM-powered coding tools can write, review, and debug Python code alongside you. This learning path helps you pick the right assistant and make it part of your daily development workflow.By completing this path, you’ll be able to:
  • Set up Claude Code as your terminal-based AI coding assistant
  • Use Cursor as an AI-powered code editor for Python projects
  • Run Google’s Gemini CLI for AI code assistance from the command line
This path is for Python developers who want to speed up their workflow with AI tools. You should be comfortable with Python basics.You’ll start with a podcast on using LLMs for Python development, then pick from three AI coding tools and learn to use the one that fits your setup.

Syllabus

  • Why Use AI for Coding?
    • Simon Willison: Using LLMs for Python Development (Podcast)
  • Map the Agent Landscape First
    • AI Coding Agents Guide: A Map of the Four Workflow Types (Tutorial)
    • AI Coding Agents Guide: A Map of the Four Workflow Types (Interactive Quiz)
  • Pick Your AI Coding Tool
    • Getting Started With Claude Code (Course)
    • Tips for Using the AI Coding Editor Cursor (Course)
    • Getting Started With Google Gemini CLI (Course)
    • How to Use Google's Gemini CLI for AI Code Assistance (Interactive Quiz)
    • Use Codex CLI to Enhance Your Python Projects (Course)
    • How to Add Features to a Python Project With Codex CLI (Interactive Quiz)
    • How to Use OpenCode for AI-Assisted Python Coding (Tutorial)
    • How to Use OpenCode for AI-Assisted Python Coding (Interactive Quiz)
    • Gemini CLI vs Claude Code: Which to Choose for Python Tasks (Tutorial)
    • Gemini CLI vs Claude Code: Which to Choose for Python Tasks (Interactive Quiz)
  • Want Live, Expert-Led Guidance?
    • Claude Code for Python Developers: Hands-On Agentic Coding Course (Workshop)

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