Feature List
  • 8.x
    • Team Feature
      • Data-Prep Features
      • Pipeline Features
        • What's New Window Pop-up
        • Failure Db-Sync
        • Testing for Kafka 3.1.0
        • Python 3.10 R&D
        • Job History
        • SPC (Single Page for Configuration)
        • Python Jobs
        • Failure Alerts
        • Event Channel Alerts
        • Pipeline Error handling
        • Pipeline : PySpark Component (PySpark Job)
      • Dashboard Charting
        • Widget as component
        • Knowledge Graph Chart
          • Sample Library based code
        • Word Cloud
        • Tile component
        • Sankey Chart
        • Model as API Connector
        • Dataprep recipe in Dataset selection
        • Decomposition Enhancment
      • Python Upgrade
        • Core Platform : Data Services
        • Core Platform : Data Catalog
        • Core Platform : Data Center
        • Data Science Lab
      • Sonar Code Scan automation by DevOps
      • DS Lab PySpark Project.
      • Core Platform
        • Tag Feature For Data Connector , Dataset , DataStore etc..
        • DataStore & Metadatastore Migration
        • MongoDB & ClickHouse Support For DataSheet
        • Data As API WorkBench
        • Pagination in Home , DataCenter , Dataset , DataStore etc..
        • Sharing Data Connector & Data Set with View or Edit Permission.
        • Core Monitoring & Alerting
      • Data Science Lab
        • Auto Forecasting Requirements
          • User Input
          • Forecasting Method
          • Explainability
        • DSLAB Sprint May1-2023-May12-2023
        • DS LAB Sprint Apr10-Apr21
        • Provide Static Variables for DSLAB Component In AutoML
        • Scheduler For DSLAB Scripts
        • Optimisation of Model Explainability code
    • QA
    • DevOps
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  1. 8.x
  2. Team Feature

Python Upgrade

Since python 3.7 having end of life Jun 2023, we are planning to upgrade to 3.10.

PreviousDecomposition EnhancmentNextCore Platform : Data Services

Last updated 2 years ago

First stage is to do the R&D for all modules.

Modules Impacted

  4. Data Store : Jobs

  5. Data Prep

  7. Auto ML

  8. Pipeline : Python Component

  9. Pipeline : System Services

Core Platform : Data Services
Core Platform : Data Catalog
Core Platform : Data Center
DS Lab