Explanation
Django Celery Mastery: Python Asynchronous Task Processing, a complete course to perform asynchronous task processing with Python Celery Today’s fast web development scene, efficient management of time-consuming and resource-intensive tasks are important for building high-performance applications. Django Celery, a powerful asynchronous task processing library, provides an excellent solution to this challenge. This comprehensive course, “Mastering Django Celery: Processing Your Asynchronous Tasks” is designed to equip you with the knowledge and skills to use Django Celery to its full potential and optimize your Python web applications for high levels of acceptance and responsiveness. It is powerful
What you will learn in this course:
- Module 1: You will learn how to create a Django-Celery workspace by building Docker containers for Django, Redis, and Celery workers.
- Module 2: Creating and Registering Django Application Functions You will learn how to configure and manage Selery.
- Module 3: You will learn to identify common exceptions and errors in Selery functions and implement error handling.
- Module 4: You will learn how to schedule tasks at specific times or intervals, set up periodic tasks, and use crontab programs.
- By the end of the course, you will have a thorough understanding of Django Celery and be equipped to take advantage of its capabilities.
Who is this course for:
- Python Developers: Developers who are already familiar with the Python programming language and want to expand their knowledge and skills to run parallel tasks using Django Celery.
- Django Developers: Developers with experience in Django web development who want to add asynchronous task processing to their Django applications to increase performance and scalability.
- Web Application Developers: Professionals involved in developing web applications who want to learn how to use Django Celery to perform time-consuming and resource-intensive tasks alike, such as sending emails, generating reports, or processing databases. . great use
- Software Engineers: Software engineers are interested in learning about job queues and asynchronous programming in Python and Django.
- Backend developers: Backend developers who want to improve the efficiency of their applications by removing time-consuming tasks from background workers using Django Celery.
- Technical Leaders and Architects: Technical leaders and architects responsible for the design and implementation of scalable and functional systems want to explore the same task automation techniques using Django Celery.
- Anyone interested and eager to learn Celery Python
Course specifications:
- Publisher: Udemy
- Teachers: Go to the Academy
- Language : English
- Level : All Levels
- Duration : 7h 49m
- number of lessons: 50
- Format: mp4
The course includes:
Requirements:
- Prior knowledge of Django concepts is beneficial.
- Prior knowledge of basic Python programming vocabulary and concepts is highly recommended
Django Celery Mastery Images: Python Asynchronous Task Processing
Example clip:
Installation guide:
After the production, you can watch the course in your favorite video.
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Quality: 720p
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File size:
3.6GB