RapidCanvas Docs
  • Welcome
  • GETTING STARTED
    • Quick start guide
    • Introduction to RapidCanvas
    • RapidCanvas Concepts
    • Accessing the platform
  • BASIC
    • Projects
      • Projects Overview
      • Canvas overview
      • Recipes
        • AI-assisted recipe
        • Rapid model recipe
        • Template recipe
        • Code Recipe
        • RAG Recipes
      • Scheduler overview
      • Predictions
        • Manual Prediction
        • Prediction Scheduler
      • Segments and Scenarios
      • Dataapps
        • Model DataApp
        • Project Canvas Datasets
        • Custom Uploaded Datasets
        • SQL Sources
        • Documents and PDFs
        • Prediction Service
        • Scheduler
        • Import DataApp
    • Connectors
      • Importing dataset(s) from the local system
      • Importing Text Files from the Local System
      • Connectors overview
      • Connect to external connectors
        • Importing data from Google Cloud Storage (GCS)
        • Importing data from Amazon S3
        • Importing data from Azure Blob
        • Importing data from Mongo DB
        • Importing data from Snowflake
        • Importing data from MySQL
        • Importing data from Amazon Redshift
        • Importing data from Fivetran connectors
    • Workspaces
    • Artifacts & Models
    • Environments
  • ADVANCED
    • Setup and Installation
      • Installing and setting up the SDK
    • Notebook Guide
      • Notebook User Guide
      • Create a template
      • Code Snippets
      • DataApps_new
      • Introduction
      • Prediction_service
    • How to
      • Add a dataset
      • How to Authenticate
      • Manage cloud connection
      • Code recipes
      • Display a template on the UI
      • Create a Custom Environment
      • Create Global Variables
      • jobs
      • Create a new project
      • Add a recipe to the dataset
      • Create new scenarios
      • Create Template
      • Use a template in a flow notebook
    • Reference Implementations
      • DataApps
      • Artifacts
      • DataSources
      • DataSources
      • Feature Store
      • ML model
      • ML Pipeline
      • Multiple Files
    • Sample Projects
      • Model build and predict
      • buildingasolution
    • FAQ
      • FAQs
  • Additional Reading
    • Release Notes
      • Feb 27, 2025
      • Jan 27, 2025
      • Dec 26, 2024
      • Nov 26, 2024
      • Oct 24, 2024
      • Sep 11, 2024
        • Aug 08, 2024
      • Aug 29, 2024
      • July 18, 2024
      • July 03, 2024
      • June 19, 2024
      • May 30, 2024
      • May 15, 2024
      • April 17, 2024
      • Mar 28, 2024
      • Mar 20, 2024
      • Feb 28, 2024
      • Feb 19, 2024
      • Jan 30, 2024
      • Jan 16, 2024
      • Dec 12, 2023
      • Nov 07, 2023
      • Oct 25, 2023
      • Oct 01, 2024
    • Glossary
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  1. ADVANCED

Setup and Installation

Installing and setting up the SDK
PreviousEnvironmentsNextInstalling and setting up the SDK
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