Course description
Django Celery Mastery: Python Asynchronous Task Processing is a complete course to learn asynchronous task processing with Python Celery. In today’s fast-paced web development landscape, efficient management of time-consuming and resource-intensive tasks is critical to 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: Python Asynchronous Task Processing” is designed to equip you with the knowledge and skills to use Django Celery’s full potential and take your Python web applications to new heights of scalability and responsiveness. empower
What you will learn in this course:
- Module 1: You’ll learn how to set up a Django-Celery workspace by building Docker containers for Django, Redis, and Celery workers.
- Module 2: Creating and Registering Tasks in a Django Application You will learn how to set up and manage Celery.
- Module 3: You will learn to identify common exceptions and errors in Celery tasks and implement error handling.
- Module 4: You will learn to schedule tasks at specific times or intervals, customize periodic tasks, and use crontab programs.
- By the end of the course, you’ll have a thorough understanding of Django Celery and be equipped to harness its power.
Who is this course suitable for?
- Python Developers: Developers who are already familiar with the Python programming language and want to expand their knowledge and skills in processing asynchronous tasks using Django Celery.
- Django Developers: Developers experienced in Django web development who want to incorporate asynchronous task processing into 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 asynchronously, such as sending emails, generating reports, or processing datasets. use large
- Software Engineers: Software engineers are interested in learning about task queues and asynchronous processing in Python and Django.
- Backend developers: Backend developers who want to improve the efficiency of their applications by offloading time-consuming tasks to background workers using Django Celery.
- Technical Leaders and Architects: Technical leaders and architects responsible for designing and implementing scalable and functional systems want to explore asynchronous task processing techniques using Django Celery.
- Anyone interested and eager to learn Python Celery
Course specifications :
- Publisher: Udemy
- teacher : Very Academy
- English language
- Education level: all levels
- Duration: 7 hours and 49 minutes
- Number of courses: 50
- File format: mp4
Course headings :
Course prerequisites:
- Prior knowledge of Django concepts is advantageous.
- Prior knowledge of basic Python programming lexicon and concepts is adcentageous
Images Django Celery Mastery: Python Asynchronous Task Processing
Sample video
Installation guide
After extracting, watch with your favorite player.
Subtitle: None
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
3.6 GB
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