The Ultimate Django Series: Part 3

4h 18m 11s
English
Paid

Course description

Master advanced techniques and best practices for building professional-quality backends. Following the concepts we mastered in Part 2, we're now going to take our backend to the next level.

Read more about the course

You'll learn how to:

  • Build an API for uploading files
  • Write automated tests with PyTest
  • Find performance bottlenecks
  • Implement caching with Redis
  • Run background jobs with Celery
  • Deploy your backends to the cloud
  • Plus much, much more.

By the end of Part 3, you'll have mastered these concepts, which means you'll be able to produce professional-quality backends with confidence.

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#1: 1- Welcome

All Course Lessons (83)

#Lesson TitleDurationAccess
1
1- Welcome Demo
00:50
2
2- Setting Up the Project
05:23
3
1- Introduction
00:21
4
2- Managing Media Files
03:55
5
3- Adding Images to Products
03:00
6
4- Building an API to Upload Images
06:15
7
5- Returning Images from the API
02:50
8
6- Validating Uploaded Files
04:01
9
7- Setting Up the Client App
01:48
10
8- Enabling CORS
05:34
11
9- Managing Images in the Admin
09:13
12
1- Introduction
00:16
13
2- Setting up a Fake SMTP Server
02:34
14
3- Configuring the Email Backend
02:39
15
4- Sending Emails
04:35
16
5- Attaching Files
02:06
17
6- Sending Templated Emails
04:59
18
1- Introduction
00:16
19
2- Introduction to Celery
02:02
20
3- Message Brokers
02:51
21
4- Installing Redis
02:58
22
5- Celery and Windows
00:50
23
6- Setting Up Celery
05:30
24
7- Creating and Executing Tasks
05:40
25
8- Scheduling Periodic Tasks
03:54
26
9- Monitoring Celery Tasks
01:42
27
1- Introduction
00:23
28
2- What is Automated Testing
02:12
29
3- Test Behaviours, Not Implementations
02:51
30
4- Tooling
02:02
31
5- Your First Test
04:45
32
6- Running Tests
05:02
33
7- Skipping Tests
00:55
34
8- Continuous Testing
01:57
35
9- Running and Debugging Tests in VSCode
02:30
36
10- Authenticating the User
00:58
37
11- Single or Multiple Assertions
05:49
38
12- Fixtures
07:39
39
13- Creating Model Instances
09:00
40
1- Introduction
00:20
41
2- Why Performance Testing
01:23
42
3- Installing Locust
00:33
43
4- Creating a Test Script
07:52
44
5- Running a Test Script
04:14
45
6- Running a Performance Test
02:53
46
7- Performance Optimization Techniques
03:52
47
8- Profiling with Silk
07:58
48
9- Verifying Optimizations
03:45
49
10- Stress Testing
02:49
50
1- Introduction
00:17
51
2- What is Caching
02:24
52
3- Cache Backends
01:34
53
4- Simulating a Slow API
01:11
54
5- Getting a Baseline Performance Benchmark
01:25
55
6- Installing Redis
00:56
56
7- Configuring Caching
01:17
57
8- Using the Low-level Cache API
03:28
58
9- Caching Views
04:50
59
10- Verifying Optimizations
01:48
60
11- Managing Redis Cache Content
02:41
61
1- Introduction
00:17
62
2- Adding the Home Page
02:38
63
3- Adding Static Assets
03:08
64
4- Collecting Static Assets
02:48
65
5- Serving Static Assets
01:00
66
6- Configuring Logging
06:28
67
7- Logging
05:31
68
8- Managing Development and Production Settings
07:14
69
9- Serving the Application with Gunicorn
02:10
70
1- Introduction
00:20
71
2- Hosting Options
00:54
72
3- Adding Project to Git
02:04
73
4- Getting Started with Heroku
01:27
74
5- Creating a Heroku App
02:00
75
6- Setting Environment Variables
01:50
76
7- Creating a Procfile
01:59
77
8- Provisioning a MySQL Database
03:51
78
9- Provisioning a Redis Instance
02:52
79
10- Provisioning an SMTP Server
01:36
80
11- Deploying the Application
05:53
81
12 - Populating the Database
02:14
82
13- Dockerizing the App
09:57
83
14- Course Wrap Up
00:25

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