Distributed Tasks Demystified with Celery, SQS & Python

Name: Distributed Tasks Demystified with Celery, SQS & Python
Price: 9 USD
Availability: InStock

4h 27m 50s

English

Paid

September 12, 2024

This course teaches beginners to industry professionals the fundamental concepts of Distributed Programming in the context of python & Django. We look at how to build applications that increase throughput and reduce latency. In this course, we will take a dive intially in the irst part of the course and build a strong foundation of asynchronous parallel tasks using python-celery a distributed task queue framework. We will explore AWS SQS for scaling our parallel tasks on the cloud.

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#	Title	Duration
1	Introduction	05:13
2	Prepping up your environment	07:24
3	Blocking vs non blocking (part 1)	06:11
4	Blocking vs non blocking (part 2)	05:01
5	Concurrency Consumer & Producer problem a deep dive	06:38
6	Solving Consumer producers problem with Mutual Exlusion	06:19
7	Controlling threads with conditions (Part 1)	02:24
8	Controlling threads with conditions (Part 2)	08:17
9	Controlling threads with conditions (Part 3)	03:51
10	Daemon threads by example (Part 4)	02:06
11	Consumer producer a thread safe FIFO queue	05:57
12	Getting started with Celery	05:53
13	Celery backends & Asyncresult by example	08:45
14	Python exception handling back to the basics	13:43
15	Exception handling in Celery Explained	09:24
16	Celery scheduled periodic tasks (Part 1)	04:45
17	Celery scheduled periodic tasks (Part 2)	04:43
18	Celery scheduled periodic tasks How to apply Mutex (Part 3)	10:39
19	Celery scheduled periodic tasks solar schedules	01:21
20	Introduction to distributed tasks with AWS SQS	14:00
21	Creating your first AWS SQS Queue with your AWS Console	05:21
22	How to create a AWS SQS background worker in python (Part 1)	08:04
23	How to create a AWS SQS background worker in python (Part 2)	09:43
24	Dead-letter Queues the theory	07:12
25	Dead-letter Queues illustrated	10:17
26	How to bypass AWS SQS (Simple Queue Service) 256kb payload limit	10:33
27	Introduction Project #1	01:05
28	Real world examples of data ingestors	04:00
29	Creating a twitter developer application and Authentication Token	06:17
30	Building your first social ingestor twitter (Part 1)	01:23
31	Building your first social ingestor twitter (Part 2)	03:35
32	Building your first social ingestor twitter Rate Limits (Part 3)	08:53
33	Building your first social ingestor twitter Handle (Part 4)	12:11
34	Building your first social ingestor twitter Handle (Part 5)	07:53
35	Basic fundamentals of SMTP and transactional email Services	04:21
36	Creating your first background email worker (Part 1)	11:49
37	Creating your first background email worker (Part 2)	11:23
38	Creating your first background email worker (Part 3)	03:21
39	Quick start guide: Getting started with PyCharm IDE (Mac)	07:55