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Django Celery Mastery: Python Asynchronous Task Processing

سرفصل های دوره

Unlocking the Power of Asynchronous Task Processing with Python Celery


1. Source Code
  • 1. Introduction
  • 2.1 Section-3-Final.zip
  • 2.2 Section-4-Final(Not including the last tutorial).zip
  • 2.3 Section-5-Final.zip
  • 2.4 Section-6-Final.zip
  • 2. Code Examples.html

  • 2. Setup Guides
  • 1. [Windows] Installing Python
  • 2. [Windows] Visual Studio Code Induction
  • 3. [Windows] Creating Virtual Environments
  • 4. [macOS] Visual Studio Code Induction
  • 5. [macOS] Installing Python
  • 6. [macOS] Creating Virtual Environments
  • 7. Docker Installation.html

  • 3. Preparing a Django Celery Working Environment
  • 1. Introducing Django Celery
  • 2. Introducing Task Producers
  • 3. Building a Django Docker Container
  • 4. Building a Redis Docker Container
  • 5. Introducing Task consumers (Workers)
  • 6. Building a Celery Worker Docker Container
  • 7.1 1.7.zip
  • 7. Introducing Results Backend

  • 4. Defining and Executing Celery Tasks
  • 1. Creating and Registering Celery Tasks in Django
  • 2. Starting the Celery Worker
  • 3.1 2.3.zip
  • 3. Initiating a Celery Task
  • 4.1 2.4.zip
  • 4. Creating a new standalone Celery Worker
  • 5. Introducing Tasks Routing
  • 6. Configuring Task Routing
  • 7. Introducing Celery Task Prioritization
  • 8.1 2.8.zip
  • 8. Configuring Task Prioritization (Redis)
  • 9. The Primitives - Task Grouping
  • 10. The Primitives - Task Chaining
  • 11.1 2.11.zip
  • 11. Task Rate limits
  • 12.1 2.12.zip
  • 12. Configuring Task Prioritization (RabbitMQ)
  • 13.1 2.13.zip
  • 13. Passing arguments and returning results from Celery tasks
  • 14.1 2.14.zip
  • 14. Executing tasks synchronously and asynchronously
  • 15. Monitoring Celery Workers and Tasks with Flower

  • 5. Handling Task Failures and Retries
  • 1. Common Types of Exceptions and Errors in Celery Tasks
  • 2. Dynamic Task Discovery in Celery Auto-discovering Tasks in a Directory
  • 3. Error Handling Try Except Blocks
  • 4. Handling Errors in Celery Tasks with Custom Task Classes
  • 5. Implementing Automatic Retries
  • 6. Error Handling in Groups
  • 7. Towards Error Handling in Task Chains
  • 8. Towards Dead-letter Queues Handling Failed Tasks
  • 9. Task Timeouts and Task Revoking (Using task time limits and timeouts)
  • 10. Handling Errors in Task Result Callbacks
  • 11. Task Signals Graceful Shutdown and Cleanup of Failed Tasks
  • 12.1 3.12.zip
  • 12. Error Tracking and Monitoring with Sentry

  • 6. Task Scheduling and Periodic Tasks
  • 1. Introduction to Task Scheduling
  • 2. Scheduling Tasks to Run at Specific Times or Intervals
  • 3. Implementing Periodic Tasks Customization
  • 4. Crontab Schedules
  • 5.1 4.5.zip
  • 5. Implement Schedule Persistence for Celery in a Django Application
  • 6. Schedule a Django Custom Command with Celery Beat
  • 7.1 4.7.zip
  • 7. Monitoring Service Status Including Custom Event Tracking and Alerting
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    شناسه: 18156
    حجم: 3715 مگابایت
    مدت زمان: 469 دقیقه
    تاریخ انتشار: 31 مرداد 1402
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