Welcome to PymoniK’s documentation!

Contents:

• Quick introduction
• Getting started
  • Creating a new project
  • Pymonik basics
  • Anonymous Tasks
  • Subtasking
  • Context
  • Storing objects in the cluster and reusing them
  • Connecting to ArmoniK
• Adding a worker image
• Creating your own PymoniK worker
• Distributed Monte Carlo for PI Estimation
• Distributed Reinforcement Learning
• Distributed Raytracing in Python
  • Core Concept: Tiled Rendering
  • Prerequisites
  • PymoniK Implementation
  • Running the Example
  • Expected Output
• Pricing Workflows with Pymonik
  • Pricing Workflow Scenarios
  • Scenario 1 – Simple Pricing Workflow
  • Scenario 2 – Portfolio Pricing with Subtasking and Monte Carlo
  • Example Code
  • Summary
• Developing PymoniK
  • Requirements
  • Test client
  • Automation Script (automation.py)
• Contributing
  • Open Issues
• Can I use different Python versions for the client and worker ?