Django Celery Mastery: Python Asynchronous Task Processing from Udemy

In today's fast-paced web development landscape, efficiently handling time-consuming and resource-intensive tasks is crucial for building high-performance applications. Django Celery, a powerful asynchronous task-processing library, provides the perfect solution to address this challenge. This comprehensive course, "Django Celery Mastery: Python Asynchronous Task Processing," is designed to empower you with the knowledge and skills necessary to harness the full potential of Django Celery and elevate your Python web applications to new heights of scalability and responsiveness.

Course Description: The course begins by guiding you through the process of setting up a fully functional Django Celery working environment. You'll learn the essentials of Django Celery, explore task producers and consumers, and gain hands-on experience building Docker containers for Django, Redis (the message broker), and Celery workers. Additionally, you'll understand the role of a results backend and create a Redis Docker container to facilitate effective task communication.

Moving forward, you'll dive deep into defining and executing Celery tasks within a Django application. You'll discover how to create and register tasks, start and manage Celery workers, and configure task routing for optimized task distribution. Advanced concepts such as task prioritization, task grouping, task chaining, task rate limits, and passing arguments and returning results from Celery tasks will be thoroughly covered. You'll also explore both synchronous and asynchronous task execution approaches and leverage the Flower monitoring tool to track and monitor Celery workers and tasks.

Handling task failures and retries is a critical aspect of asynchronous task processing, and this course provides comprehensive introduction of this topic. You'll gain insights into common types of exceptions and errors in Celery tasks and explore various error handling strategies. You'll implement automatic retries, handle errors in task groups and chains, and discover techniques for handling failed tasks and task timeouts. Additionally, you'll learn how to gracefully shut down tasks, clean up failed tasks, and leverage error tracking and monitoring tools such as Sentry.

Task scheduling and periodic tasks play a vital role in managing recurring tasks efficiently. In this course, you'll understand the fundamentals of task scheduling, including scheduling tasks to run at specific times or intervals. You'll explore the customization of periodic tasks, implement crontab schedules, and ensure schedule persistence in a Django application. Furthermore, you'll learn how to schedule Django custom commands using Celery Beat and monitor service status using custom event tracking and alerting mechanisms.

Throughout the course, hands-on exercises, practical examples, and real-world scenarios will enhance your learning experience and enable you to apply the concepts directly in your own projects. By the end of this course, you'll have gained mastery over Django Celery and be equipped with the skills to implement efficient asynchronous task processing in Python applications, ensuring scalability, responsiveness, and optimal resource utilization.

Whether you are a Python developer, Django developer, web application developer, software engineer, backend developer, or a technical lead/architect, this course will empower you to unlock the full potential of Django Celery and revolutionize your approach to asynchronous task processing. Don't miss this opportunity to level up your skills and supercharge your applications with the power of Celery. Enroll now and take the first step towards mastering asynchronous task processing in Python.

Legal Notice: "Celery Logo" is licensed under the Creative Commons Attribution-Share Alike 4.0 International license. To view a copy of this license, visit creativecommons org licenses by-sa 4.0. No changes were made to the original file. This course is not accredited, certified, affiliated with, or endorsed by Celery Project.

Trademark Usages and Fees Disclosures:

Usage of Django Logo: The Django logo used in this product is for identification purposes only, to signify that the content or service is Django-related. It does not imply that this product is officially endorsed by the Django Software Foundation (DSF) or the Django Core team as representatives of the Django project.

Fees Disclosure: We would like to clarify that 100% of the fees will be retained by the author to support the ongoing development and maintenance of this product. Currently, 0% of the fees, if applicable, will be contributed back to the DSF as a donation to further support the Django community.

Note: The Django name and logo are registered trademarks of the Django Software Foundation, and their usage is subject to the Django Trademark License Agreement.

Usage of Celery Logo: The Celery logo used in this product is for identification purposes only, to signify that the content or service is Celery-Project-related. It does not imply that this product is officially endorsed by the Celery Project or the logo licensor. Author Ty Wilkins - Licensed under the Creative Commons Attribution-Share Alike 4.0 International license.

What's inside

Learning objectives

Module 1: you will learn how to set up a working environment for django celery by building docker containers for django, redis, and celery workers.
Module 2: you will learn to create and register tasks within a django application, start and manage celery.
Module 3: you will learn to identify common exceptions and errors in celery tasks and implement error control.

Module 4: you will learn to schedule tasks at specific times or intervals, customize periodic tasks, and utilize crontab schedules.
By the end of the course, you will have a solid understanding of django celery and be equipped to leverage its power.

Module 1: you will learn how to set up a working environment for django celery by building docker containers for django, redis, and celery workers.
Module 2: you will learn to create and register tasks within a django application, start and manage celery.
Module 3: you will learn to identify common exceptions and errors in celery tasks and implement error control.
Module 4: you will learn to schedule tasks at specific times or intervals, customize periodic tasks, and utilize crontab schedules.
By the end of the course, you will have a solid understanding of django celery and be equipped to leverage its power.

Syllabus

Source Code

Introduction

Code Examples

Setup Guides

[Windows] Installing Python

[Windows] Visual Studio Code Induction

[Windows] Creating Virtual Environments

[macOS] Visual Studio Code Induction

[macOS] Installing Python

[macOS] Creating Virtual Environments

Docker Installation

Preparing a Django Celery Working Environment

Introducing Django Celery

Introducing Task Producers

Building a Django Docker Container

Building a Redis Docker Container

Introducing Task consumers (Workers)

Building a Celery Worker Docker Container

Introducing Results Backend

Defining and Executing Celery Tasks

Creating and Registering Celery Tasks in Django

Starting the Celery Worker

Initiating a Celery Task

Creating a new standalone Celery Worker

Introducing Tasks Routing

Configuring Task Routing

Introducing Celery Task Prioritization

Configuring Task Prioritization (Redis)

The Primitives - Task Grouping

The Primitives - Task Chaining

Task Rate limits

Configuring Task Prioritization (RabbitMQ)

Passing arguments and returning results from Celery tasks

Executing tasks synchronously and asynchronously

Monitoring Celery Workers and Tasks with Flower

Handling Task Failures and Retries

Common Types of Exceptions and Errors in Celery Tasks

Dynamic Task Discovery in Celery: Auto-discovering Tasks in a Directory

Error Handling: Try Except Blocks

Handling Errors in Celery Tasks with Custom Task Classes

Implementing Automatic Retries

Error Handling in Groups

Towards Error Handling in Task Chains

Towards Dead-letter Queues: Handling Failed Tasks

Task Timeouts and Task Revoking (Using task time limits and timeouts)

Handling Errors in Task Result Callbacks

Task Signals Graceful Shutdown and Cleanup of Failed Tasks

Error Tracking and Monitoring with Sentry

Task Scheduling and Periodic Tasks

Introduction to Task Scheduling

Scheduling Tasks to Run at Specific Times or Intervals

Implementing Periodic Tasks Customization

Crontab Schedules

Implement Schedule Persistence for Celery in a Django Application

Schedule a Django Custom Command with Celery Beat

Monitoring Service Status Including Custom Event Tracking and Alerting

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Very Academy, who are known for their work in this subject

Uses Python, which is highly relevant to backend development

Develops and enhances Django backend development skills

Emphasizes hands-on labs, providing practical implementation opportunities

Covers the latest asynchronous task processing techniques, ensuring relevance

This course may require prior Python knowledge for seamless comprehension

Career center

Learners who complete Django Celery Mastery: Python Asynchronous Task Processing will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts analyze data to help businesses make better decisions. They use their knowledge of statistics, mathematics, and computer science to identify trends and patterns in data. This course can help Data Analysts learn how to use Django Celery to automate and scale their data analysis tasks, freeing up time to focus on more complex and strategic work.

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Data Scientist

Data Scientists use their knowledge of statistics, mathematics, and computer science to develop and implement solutions to business problems. This course can help Data Scientists learn how to use Django Celery to automate and scale their data science tasks, freeing up time to focus on more complex and strategic work.

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Backend Developer

Backend Developers design, develop, and maintain the server-side of web applications. They work with databases, APIs, and other software to ensure that the application runs smoothly and efficiently. This course can help Backend Developers learn how to use Django Celery to handle asynchronous tasks, such as sending emails or processing payments, in a scalable and efficient way.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course can help Software Engineers learn how to use Django Celery to handle asynchronous tasks, such as sending emails or processing payments, in a scalable and efficient way.

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Full-Stack Developer

Full-Stack Developers design, develop, and maintain both the front-end and back-end of web applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course can help Full-Stack Developers learn how to use Django Celery to handle asynchronous tasks, such as sending emails or processing payments, in a scalable and efficient way.

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Cloud Architect

Cloud Architects design and implement cloud-based solutions for businesses. They work with a variety of cloud computing technologies to create solutions that are scalable, reliable, and cost-effective. This course can help Cloud Architects learn how to use Django Celery to handle asynchronous tasks, such as processing data or running simulations, in a scalable and efficient way in the cloud.

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DevOps Engineer

DevOps Engineers work with developers and operations teams to ensure that software is developed and deployed efficiently and reliably. They use a variety of tools and technologies to automate and streamline the software development and deployment process. This course can help DevOps Engineers learn how to use Django Celery to automate and scale their software development and deployment tasks, freeing up time to focus on more complex and strategic work.

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Systems Administrator

Systems Administrators manage and maintain computer systems and networks. They work with a variety of operating systems and software to ensure that systems are running smoothly and efficiently. This course may be useful for Systems Administrators who want to learn how to use Django Celery to automate and scale their system administration tasks, freeing up time to focus on more complex and strategic work.

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Database Administrator

Database Administrators manage and maintain databases. They work with a variety of database technologies to ensure that databases are running smoothly and efficiently. This course may be useful for Database Administrators who want to learn how to use Django Celery to automate and scale their database administration tasks, freeing up time to focus on more complex and strategic work.

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Technical Architect

Technical Architects design and implement technical solutions for businesses. They work with a variety of technologies to create solutions that are scalable, reliable, and cost-effective. This course may be useful for Technical Architects who want to learn how to use Django Celery to handle asynchronous tasks, such as processing data or running simulations, in a scalable and efficient way.

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Product Manager

Product Managers work with engineers and designers to define and develop software products. They work with a variety of stakeholders to ensure that products meet the needs of users. This course may be useful for Product Managers who want to learn how to use Django Celery to handle asynchronous tasks, such as sending emails or processing payments, in a scalable and efficient way.

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Business Analyst

Business Analysts work with businesses to identify and solve problems. They use a variety of tools and techniques to analyze data and develop solutions. This course may be useful for Business Analysts who want to learn how to use Django Celery to automate and scale their data analysis tasks, freeing up time to focus on more complex and strategic work.

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Marketing Manager

Marketing Managers work with businesses to develop and implement marketing campaigns. They work with a variety of channels to reach target audiences and promote products or services. This course may be useful for Marketing Managers who want to learn how to use Django Celery to automate and scale their marketing tasks, freeing up time to focus on more complex and strategic work.

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Sales Manager

Sales Managers work with businesses to develop and implement sales strategies. They work with a variety of teams to sell products or services and achieve revenue targets. This course may be useful for Sales Managers who want to learn how to use Django Celery to automate and scale their sales tasks, freeing up time to focus on more complex and strategic work.

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Customer Success Manager

Customer Success Managers work with businesses to ensure that customers are satisfied with products or services. They work with a variety of teams to resolve issues and provide support. This course may be useful for Customer Success Managers who want to learn how to use Django Celery to automate and scale their customer support tasks, freeing up time to focus on more complex and strategic work.

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