ChatGPT (Coding)

With the reasoning models, ChatGPT has become a powerhouse for complex algorithmic problem solving and system architecture. It excels at tasks requiring deep thought rather than just autocomplete.

Core Technical Capabilities

• Reasoning Models: “Thinks” before it writes code, making it superior for hard algorithmic challenges and math-heavy logic.
• Canvas Interface: A specialized editor for reviewing and editing code files side-by-side, similar to a code editor.
• Python Interpreter: Can run Python code internally to test logic or analyze data.

Professional Applications

• System Architecture: Planning database schemas and API endpoints.
• Scripting: Generating Python automation scripts and Bash commands.
• Data Science: Cleaning and visualizing datasets using generated Python code.