01 | Datacooper Beginner Path: From Zero to Usable

What You Will Learn

Most beginners do not fail on tool capability, but on setup order. Use this path:

• Set up Python
• Install IDE
• Configure MCP
• Run first Python script example
• Run first MCP call example

Prerequisites

• A Windows or macOS machine with internet access
• Permission to install software
• Basic terminal access (PowerShell or Terminal)
• uv is recommended for faster and cleaner Python tooling setup

Success Criteria After This Phase

• python --version and pip --version both work
• uv --version works
• Your IDE can run a .py file
• You understand Python SDK is the primary path, and MCP is optional

Why These Environments Matter

• Python: runtime foundation for both cwtwb and cwprep.
• uv: recommended package/tool manager to reduce dependency conflicts and simplify setup.
• IDE (Cursor / VS Code): code editor for writing and debugging scripts. An IDE alone is not enough; you also need an AI agent to interpret requirements and help execute tasks.
• Python SDK (core): both tools expose callable interfaces. AI agents can understand your request and call these Python interfaces to complete the job.
• MCP (optional): direct tool-calling channel inside AI clients. Useful, but not required for getting started.

Recommended Learning Sequence

• Article 1: 02 | Python and IDE Setup for Datacooper Beginners
• Article 2: 03 | MCP Setup and First Connectivity Check
• Article 3: 04 | cwprep and cwtwb Basic Cases: Script + MCP

Next Step

Go to 02 | Python and IDE Setup for Datacooper Beginners before moving on.