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CodeSignal

Exploring Workflows with Gemini in Python

via CodeSignal

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Overview

Explore how to orchestrate Gemini through common workflow patterns. Master strategies for decomposing complex tasks, routing work efficiently, and executing parallel operations using only prompt engineering and API call orchestration.

Syllabus

  • Unit 1: Getting Started with Gemini
    • Building Your First Complete Gemini Interaction
    • Extracting Text and Finish Reason from Gemini Responses
    • Building Multi-Turn Conversations with Gemini
    • Robust Text Extraction from Response Parts
  • Unit 2: Prompt Chaining with Gemini
    • Building Your First Prompt Chain Link with Gemini
    • Implementing Validation Layer in Prompt Chains
    • Fine-Tuning Validation Guardrails
    • Three-Step Prompt Chaining: Summary, Validation, and Translation
    • Add Translation Quality Review to Prompt Chain
  • Unit 3: Task Routing with Gemini
    • Building an Intelligent Task Router
    • Implementing Specialist Mapping Logic
    • Implementing Specialist Response Generation in Task Router
    • Adding Explanations to Intelligent Router
    • Extending the Routing System with a Science Specialist
  • Unit 4: Parallel Processing with Gemini
    • Converting Synchronous Gemini Code to Asynchronous
    • Parallel Async Execution with asyncio.gather()
    • Two-Phase Async Workflow with Result Aggregation

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